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The Effect of Ladle Treatment on Steel Cleanness in Tool Steels Karin Steneholm Doctoral Thesis Stockholm 2016 Department of Materials Science and Engineering School of Industrial Engineering and Management KTH, Royal Institute of Technology SE-100 44 Stockholm, Sweden Akademisk avhandling som med tillstånd av Kungliga Tekniska Högskolan i Stockholm, framlägges för offentlig granskning för avläggande av Teknologie Doktorsexamen, fredag den 10 juni 2016, kl 10:00 i B3, Brinellvägen 23, Kungliga Tekniska Högskolan, KTH, Stockholm. ISBN 978-91-7595-951-1

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Page 1: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

The Effect of Ladle Treatment on

Steel Cleanness in Tool Steels

Karin Steneholm

Doctoral Thesis

Stockholm 2016

Department of Materials Science and Engineering

School of Industrial Engineering and Management

KTH, Royal Institute of Technology

SE-100 44 Stockholm, Sweden

Akademisk avhandling som med tillstånd av Kungliga Tekniska Högskolan i Stockholm,

framlägges för offentlig granskning för avläggande av Teknologie Doktorsexamen, fredag den

10 juni 2016, kl 10:00 i B3, Brinellvägen 23, Kungliga Tekniska Högskolan, KTH,

Stockholm.

ISBN 978-91-7595-951-1

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i

Karin Steneholm The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

Department of Materials Science and Engineering

School of Industrial Engineering and Management

KTH, Royal Institute of Technology

SE-100 44 Stockholm

Sweden

ISBN: 978-91-7595-951-1

Printed by: Universitetsservice US-AB, Stockholm 2016

© Karin Steneholm

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First say to yourself what you would be; and then do what you have to do.

- Epictetus

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TABLE OF CONTENTS

ABSTRACT ............................................................................................................................................ vi SAMMANFATTNING ......................................................................................................................... viii ACKNOWLEDGEMENTS ..................................................................................................................... x PREFACE ............................................................................................................................................... xi AUTHOR CONTRIBUTION ................................................................................................................ xii 1. INTRODUCTION ......................................................................................................................... 13

1.1 Change of inclusion characteristics during ladle refining and casting .................................. 13

1.2 Refractory .............................................................................................................................. 14

1.3 Top slag ................................................................................................................................. 14

1.4 Focus of this thesis ................................................................................................................ 15

2. THEORY....................................................................................................................................... 17 2.1 Inclusion Size Distribution .................................................................................................... 17

2.2 Thermodynamic examinations .............................................................................................. 17

2.3 Removal rates of impurities................................................................................................... 19

2.4 Steel cleanliness in the industry ............................................................................................ 21

3. EXPERIMENTAL ........................................................................................................................ 23 3.1 Plant description .................................................................................................................... 23

3.2 Plant trials .............................................................................................................................. 23

3.3 Sample evaluations ................................................................................................................ 23

3.4 Thermodynamic calculations................................................................................................. 23

4. RESULTS AND DISCUSSION ................................................................................................... 25 4.1 Change of top slag (supplement 1) ........................................................................................ 25

4.1.1 Inclusion content ........................................................................................................... 25

4.1.2 Inclusion composition .................................................................................................... 26

4.1.3 Thermodynamic calculations ......................................................................................... 27

4.2 Evolution of inclusion characteristics during vacuum degassing (supplement 2) ................. 29

4.2.1 Total oxygen content...................................................................................................... 29

4.2.2 Inclusion content ........................................................................................................... 30

4.2.3 Inclusion composition .................................................................................................... 30

4.2.4 Desulphurization rate .................................................................................................... 31

4.3 Removal of Hydrogen, Nitrogen and Sulphur (supplement 3) .............................................. 33

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4.3.1 Hydrogen removal ......................................................................................................... 33

4.3.2 Sulphur removal ............................................................................................................ 33

4.3.3 Nitrogen removal ........................................................................................................... 35

4.4 The role of process control (supplement 4) ........................................................................... 37

4.4.1 Steel properties .............................................................................................................. 37

4.4.2 Slag properties .............................................................................................................. 38

4.4.3 Deoxidation ................................................................................................................... 39

4.4.4 Oxygen activity calculations .......................................................................................... 40

5. CONCLUDING DISCUSSION .................................................................................................... 43 6. CONCLUSIONS ........................................................................................................................... 45 7. FUTURE WORK .......................................................................................................................... 47 8. REFERENCES .............................................................................................................................. 48

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ABSTRACT

The aim of the present work was to get an overview of the steel cleanness in tool steel.

Studies of three steel grades were done with different focuses.

Firstly the change of the inclusion characteristics during the vacuum degassing in the ladle

was looked upon. The results are based on plant trials as well as on thermodynamic

calculations. Trials were made on two different tool steel grades. During the trials, the top

slag composition was altered and steel and slag samples were collected before and after

vacuum degassing. The steel samples were analysed to determine the chemical composition of

steel and slag as well as the inclusion numbers. With the aid of thermodynamic calculations,

the oxygen activity for the equilibria steel/inclusion and steel/top slag was calculated. The

data was compared for different calculations as well as to measured oxygen activities from the

steel melts. The results showed that the top slag composition has an effect on the inclusion

composition. When the CaO-content in the top slag was increased, the CaO-content in the

inclusion was increased as well. The thermodynamic calculations indicated that the oxygen

activity for the steel/inclusion was twice as large as that of the steel/top slag before vacuum

degassing. However, after vacuum degassing the oxygen activity values were close for the

steel/inclusion and steel/top slag equilibriums.

In order to see how the inclusion characteristics evolved during vacuum degassing the

vacuum treatment process was interrupted at five pre-determined time points. At each

interruption of the vacuum degassing, steel and slag samples were obtained. Thereafter, the

total oxygen, inclusion content and composition were determined. Before vacuum treatment

the inclusion content was high in number. Thereafter, during vacuum the number of the

smaller inclusions was decreased. However, for the larger inclusions (>11.2µm) the number

of inclusions had increased. It was also noticed that the inclusion composition varied in

samples taken before vacuum degassing. However, throughout the degassing process the

inclusion composition was found to approach the top slag composition. Finally, at the end of

the degassing operation only one type of inclusion composition was found in the steel melt.

Also, after around 10 minutes of degassing, the inclusions reached their minimum (or plateau)

values.

The removal of hydrogen, nitrogen and sulphur is also of great importance during a vacuum

degassing treatment in order to obtain a clean steel. The three elements were studied by using

samples taken before, during (at five predetermined time points) and after vacuum degassing.

The chemical steel and slag compositions were used to calculate the removal of hydrogen,

nitrogen and sulphur. It was found that the removal kinetics of hydrogen and nitrogen can be

described with first-order reactions. This is valid for the studied steel grade, as long as the

sulphur content is below 0.003 wt-%. When 10 minutes of vacuum degassing have passed, the

removal of hydrogen and nitrogen is more or less finished for the studied steel grades. In the

case of sulphur it is not possible to apply a first-order reaction. Instead the sulphur content

seems to follow the equilibrium sulphur content at all stages during the degassing operation.

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Controlling the process is of great importance when reaching a good cleanliness of the steel.

Two steel grades were studied, steel grades with similar process route and with only a few

differences in steel composition. Steel and slag samples were collected and analysed. The sum

of FeO and MnO was found to be a clear indicator for when reoxidation had taken place.

However, the amount of carry-over slag from the electric arc furnace could not be predicted

by a conclusive indicator. Also the oxygen activity was calculated and the calculations were

compared with the measurements made in the liquid steel. The results indicate that

calculations of oxygen activities with multivalence slag species such as Fe and Cr requires

measurements for validations to ensure that reliable results are obtained.

Keywords: oxygen activity, inclusion characteristics, vacuum degassing, desulphurization,

slag, ladle, hydrogen, nitrogen, deslagging

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SAMMANFATTNING

Syftet med denna studie var att få en överblick av verktygsståls renhet. Studier på tre olika

stålsorter utfördes.

Inneslutningsbilden under vakuumbehandling undersöktes. Resultaten är baserade på

industriförsök likväl som termodynamiska beräkningar. Försöken gjordes på två olika

stålsorter där toppslaggens sammansättning varierades och stål- och slaggprover tog ut före

och efter vakuumbehandling. Proverna analyserades för att bestämma den kemiska

sammansättningen på stål och slagg, men inneslutningsbilden undersöktes också. Med hjälp

av termodynamiska beräkningar beräknades syreaktiviteten för jämvikterna stål/inneslutning

och stål/toppslag. Beräkningarna jämfördes sinsemellan samt med uppmätt syreaktivitet från

stålsmältan. Resultaten visar att toppslaggens sammansättning har en påverkan på

inneslutningarnas sammansättning. Specifikt så fanns att när CaO-halten i toppslaggen ökar

syns en ökning av CaO i inneslutningssammansättningen. De termodynamiska beräkningarna

visar att syreaktiviten för jämvikten stål/inneslutning är dubbelt så stor som den för jämvikten

stål/topplagg före vakuumbehandling. Dock är syreaktiviteterna för de olika jämvikterna lika

efter vakuumbehandlingen.

För att studera hur inneslutningsbilden utvecklas under vakuumbehandling avbröts

vakuumbehandlingen vid fem förutbestämda tidpunkter. Vid varje avbrott av

vakuumbehandlingen togs stål- och slaggprover som analyserades för att bestämma totalsyre,

inneslutningsmängd och inneslutningssammansättning. Före vakuumbehandlingen var antalet

inneslutningar stort, medan antalet små inneslutningar minskade under vakuumbehandlingen.

Däremot konstaterades att antalet stora inneslutningarna (>11.2µm) ökade under avgasningen.

Vad beträffar inneslutningssammansättningen syntes en variation i analys före

vakuumbehandlingen som sedan förändrades till att likna toppslaggens sammansättning under

vakuumbehandlingstiden. I slutet av processen märktes endast en typ av

inneslutningssammansättning i stålsmältan. Vad som också noterades var att efter ungefär 10

minuter av vakuumbehandling så hade inneslutningsantalet nått sitt minimumvärde.

För att erhålla rent stål är väte-, kväve- och svavelreningen också av stor vikt under

vakuumbehandlingen. Dessa tre element studerades genom att prover togs vid olika tillfällen i

processen; före, under (vid fem olika förutbestämda tidpunkter) och efter vakuumbehandling.

De kemiska sammansättningarna för stål- och slaggproverna användes för att beräkna väte-,

kväve- och svavelreningarna. Beräkningarna visade att för väte och kväve så kan kinetiken

beskrivas med en förstagradsekvation. Specifikt så gäller detta för stålsorten i studien, samt

under förutsättningen att svavelhalten är lägre än 0,003 vikts-%. Dessutom så visade

resultaten att väte- och kvävereningen är i stort sett klar för den studerade stålsorten efter 10

minuters vakuumbehandling. När det gäller svavel så kan en förstagradsekvation inte

användas vid beräkningarna Istället uppvisar svavel en tendens att följa jämviktshalten av

svavel genom hela avgasningsprocessen.

Genom att kontrollera processen finns stora möjligheter att erhålla en bra renhet på stålet. Två

stålsorter studerades i denna specifika studie, där de hade en liknande processväg samt endast

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några små skillnader i stålanalysen. Stål- och slaggprover samlades in och analyserades.

Summan av FeO och MnO visade sig vara en klar indikation på när reoxidation har skett, men

mängden ”carry-over” slagg från ljusbågsugnen kunde inte predikteras med hjälp av någon

specifik indikator. Dessutom så beräknades syreaktiviten och beräkningarna jämfördes sedan

med uppmätt syre i stålet. Resultaten indikerar att beräkningar av syreaktivitet med

toppslagger som innehåller multivalenselement, såsom Fe och Cr, kräver valideringar med

mätningar för att trovärdiga predikteringar ska erhållas.

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ACKNOWLEDGEMENTS

First of all I would like express my sincere gratitude and appreciation to my supervisor

Professor Pär Jönsson. You have given me inspiration, support and encouragement throughout

this journey.

I am also thankful for the support and advices I have been given by my co-supervisor, Anders

Tilliander.

I especially would like to thank Uddeholms AB and Bruksägare C J Yngström’s scholarship

for financing the writing of this thesis.

Many thanks go to my colleagues at Uddeholms AB for helping me and for keeping my spirit

up and giving me energy.

My beloved parents, thank you.

Karin Steneholm

Stockholm, 2016

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PREFACE

The present thesis is based on the following papers:

Supplement 1: “Effect of top slag composition on inclusion characteristics during vacuum

degassing of tool steel”

K. Steneholm, M. Andersson and M. Nzotta and P Jönsson

Steel Research International, Vol. 78, issue 7, 2007, pp. 522-530

Supplement 2: “Change of Inclusion Characteristics During Vacuum Degassing of Tool

Steel”

K.M. Steneholm, M.A.T. Andersson and P.G. Jönsson

Steel Research International, Vol. 77, issue 6, 2006, pp. 392-400

Supplement 3: “Removal of Hydrogen, Nitrogen and Sulphur from Tool Steel during

Vacuum Degassing”

K. Steneholm, M. Andersson, P.G. Jönsson, and A. Tilliander

Ironmaking & Steelmaking, Vol. 40, issue 3, 2013, pp.199-205

This paper received the Adrian Normanton Award from the Institute of Metals in London,

which is a price for the best paper published in Ironmaking and Steelmaking during 2013.

Supplement 4: “The role of process control on steel cleanliness”

K. Steneholm, Nils Å. I. Andersson, A. Tilliander and P.G. Jönsson.

Manuscript.

Parts of this work have been presented at the following conferences:

I: “Influence of Process Step on Inclusion Characteristics”

K. Steneholm

Nordic Symposium for young Scientists, Production Metallurgy for Iron,

Steel and Ferroalloys, June 11-13, 2003, Pohto/Oulu, Finland

II: Influence of Process Parameters during Vacuum Degassing on the Non-Metallic Inclusion

Content in Tool Steel

K. Steneholm, M. Andersson

STÅL2004, 5-7 May, 2004, Borlänge, Sweden

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AUTHOR CONTRIBUTION

Supplement 1: Project planning, literature survey, plant trials, microscopic analysis, analysis

of thermodynamic calculations and major part of writing.

Supplement 2: Project planning, literature survey, plant trials, microscopic analysis and

major part of writing.

Supplement 3: Project planning, literature survey, plant trials, analysis of thermodynamic

calculations and major part of writing.

Supplement 4: Project planning, literature survey, plant trials, analysis of thermodynamic

calculations and major part of writing.

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1. INTRODUCTION

Today’s steel production is more and more specialized, due to higher demands from the

customers as well as due to an increased competition. It is therefore important to obtain a

deeper insight to how the process can be controlled, in order to make clean steel that meets

the demands on material properties from customers. Here, the making of clean steel includes a

control of the inclusion characteristics, which includes the size, composition and morphology

of inclusions. Furthermore, a control of sulphur, hydrogen and nitrogen is of importance. The

present thesis is focused on tool steelmaking and specifically for the conditions that are valid

for Uddeholms AB. The research at this plant has increasingly focused on an increased

understanding of especially how the inclusion characteristics change during different parts of

the process from the steelmaking to the final product.

At Uddeholms AB as well as at other tool steel plants it is known that especially the

inclusions have a negative influence on material properties that are essential for tool steel

grades. Specifically, the chemical compositions of the inclusions are important to determine,

since they will affect how the inclusions behave during a deformation of the steel. Thus, these

inclusions will also influence the material properties of the finished steel product. One of the

most important material properties in tool steels is the polishability. Previous research has

shown that the polishability increases with a decreased inclusion content [1]. It should also be

mentioned that the important relationship between inclusions and material properties has, for

example, been discussed by Wijk [2]. In 1995, he reported the importance to control the

amount, size, size distribution and composition of non-metallic inclusions in order to reach

optimum steel properties to obtain a steel performance within tight specifications.

1.1 Change of inclusion characteristics during ladle refining and casting

In order to make a change of how an improved cleanness of the steel can be obtained it is

important to initially map how especially the inclusion characteristics changes in different

parts of the process. For example, Cheng et al [3] has studied how the inclusion characteristics

changes during the ladle refining and casting operations. The focus was on macro inclusions

present in steel during different parts of the ladle treatment and casting process, since these

are most detrimental to the material properties. The results showed that clusters were

observed before vacuum degassing, so it was concluded that macro inclusions were formed

due to collisions. In addition, the results showed that the major sources of macro inclusions

during casting were mold flux entrainments and refractory breakdowns. Several other studies

have also been carried out to at KTH to determine how the inclusion characteristics vary

during ladle treatment, based on plant trials [4-7].

When discussing studies of how the inclusion characteristics vary with process steps, it is also

of importance to discuss how reliable the samples are when determining the inclusion

characteristics. Typically, the inclusion sizes are determined using light optical microscopy

and the inclusion characteristics is determined using scanning electron microscopy in

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combination with energy dispersive spectroscopy. The knowledge from previously published

research on the influence of sampling on determining the inclusion characteristics in process

samples has been carefully considered when carrying out the current studies in this thesis [8-

10]. When discussing sampling it is also of importance to consider when and where it is

suitable to take a sample. Therefore, Söder et al [11] studied the concentration gradients of

inclusions during both gas and induction stirring. They found that the number of inclusions

varied both in relation to sampling position and time.

It also need to mentioned that studies have been made to determine the effect of deoxidation

praxis and ferroalloy additions on the inclusion characteristics [12-15], - desulphurisation and

inclusion characteristics related to the top slag [16-23], - stirring conditions related to

inclusion characteristics [24-30]. All these aspects will, of course, influence how the inclusion

characteristics changes during different parts of the process,

1.2 Refractory

The effect of the refractory on the inclusion content in the steel during vacuum degassing has

been studied by researchers from Ovako Steel. More specifically, in two separate studies

[31,32] they found that MgO and carbon in the magnesite lining react as follows during

vacuum degassing:

MgO(s) + C(s) => Mg(g) + CO(g) (1)

This magnesium gas will dissolve into the steel and react with alumina inclusions due to that

magnesium has a higher affinity for oxygen than for aluminium. The inclusion sizes and

compositions during vacuum degassing can also be changed due to reactions with slag present

on the refractory wall from the previous heat, defined as ladle glaze [33].

1.3 Top slag

The top slag represents another source of oxygen that can be transferred to steel during ladle

refining. This is especially true during sulphur refining during vacuum degassing. For

example, oxygen is transferred from the slag to the steel according to the following reaction:

CaO(s) + S => CaS(s) + O (2)

where O is the new oxygen dissolved into the steel. This oxygen will react with strong

deoxidizers in the steel such as Al, Si, Ti etc under the formation of new inclusions.

Furthermore, the oxygen can also participate in reactions which will modify already existing

inclusions. The intense stirring during a vacuum degassing operation also give rise to

reactions between strong deoxidizers such as Al and oxides in the slag such as FeO, MnO and

SiO2. These leads to the formation of new inclusions exemplified by the following reaction

involving FeO:

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3FeO(l) + 2Al => 3Fe(l) + Al2O3 (3)

The influence of the top slag composition on the inclusion composition was also studied by

Almcrantz et al [22]. The focus was the effect of three different slag compositions with

different viscosities on the inclusion composition during vacuum degassing. The major

conclusion was that the magnesium content in the alumina-based inclusions increased during

vacuum degassing using high viscosity top slags. This was due to that the magnesium gas that

was released through equation (1) reacted with alumina inclusions present in the steel.

Almcrantz et al [22] also found that the calcium content in the alumina-based inclusions

increased when using low-viscosity slags. This was believed to be due to a more intense

mixing between slag and steel for low-viscosity slags compared to high-viscosity slags, which

in turn promoted reactions between slag and steel. Here, it should be noted that Almcrantz et

al’s [22] investigation focused on bearing steels, while the present focus is tool steels. These

tool steels have different steel compositions and thus different thermodynamic conditions

compared to bearing steels.

1.4 Focus of this thesis

Based on the results from

the above mentioned

studies as well as the

experience from

Uddeholms AB it was

decided to focus most of

the work on the vacuum

degassing part of the ladle

refining process. During

this vacuum degassing, the

content of dissolved gases

in the steel melt such as

hydrogen and nitrogen can

be decreased. Furthermore,

carbon and sulphur can be

removed to the gas phase

(as CO) and the slag phase,

respectively. In addition,

vacuum degassing is an

important unit process for

removal and control of non-metallic inclusions.

This thesis is based on four supplements. The focus of the supplements is ladle refining and

especially the vacuum degassing step, as mentioned above. More specifically, the studies are

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focused on the influence of the operation praxis on the inclusion characteristics as well as on

unwanted elements. The first supplement concerns the effect of a changed composition of the

top slag on the inclusion characteristics. Specifically, the chemical compositions of steel,

slags and inclusions as well as the size distribution of inclusions are determined in samples

taken during ladle refining. Supplement 1 also discusses thermodynamic calculations of

steel/slag and steel/inclusion equilibria using both Wagner’s theory and Thermo-Calc

simulations. Supplement 2 focuses on the change of the inclusion characteristics during

vacuum degassing. The purpose is to provide new information on how inclusion

characteristics vary for different conditions during the degassing operation. Note, that in order

to obtain this information the normal experimental praxis has been altered. More specifically,

the vacuum degassing operation has been interrupted at different times for different heats. To

the authors’ knowledge, this type of plant trial has not been reported previously related to

experiments focused on inclusion characteristics. However, it should be noted that Hallberg et

al [34] have reported on trials where the vacuum degassing operation was terminated in order

to obtain information on hydrogen and sulphur contents in steel.

The third supplement focuses on the refining of hydrogen, nitrogen and sulphur during the

vacuum degassing part of the ladle refining process. Note, that the samples used in

supplement 3 have been collected from supplement 2. The objective of the research in

Supplement 3 study was not to obtain a model, but to be able to use the latest theoretical

results to implement them in the production process. Finally, the fourth supplement concerns

an evaluation of the ladle process aiming at optimizing the process in order to reduce the

oxygen content. Specifically, the focus is on the oxygen activity and aluminium content based

on plant trials.

It should also be mentioned that one important motivation for carrying out this thesis is to

provide new information that would assist in the implementation of a process model that is

under construction at Uddeholms AB. It is the belief that a good process model could be used

to make predictions of what will happen if certain actions are taken during the process.

However, such a model needs to be carefully validated with experimental data such as those

provided in this thesis.

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2. THEORY

2.1 Inclusion Size Distribution

Two kinds of steel samples were used to determine the inclusion size distributions, namely

Liquid Sampling Hot Rolling (LSHR) samples [8] and Rapid Solidification (RS) samples

[35]. The LSHR sample provides a larger area to be investigated in a microscope as well as a

possibility to study the sample after hot rolling compared to a RS sample. However, small

inclusions might grow or be separated in the LSHR sample due to a large sample volume and

a longer solidification time. At the same time, the chance of obtaining better results with

respect to the macro inclusions is better with the LSHR sample than with the RS sample due

to the larger sample volume of the former.

The inclusions in the samples taken from the liquid steel were classified according to SS 11

11 16 standard [36] and following the Jernkontoret´s chart II. Based on this chart, the

inclusions can be classified into the following four inclusion types: ductile (A), brittle (B),

brittle-ductile (C) and undeformable (D) inclusions. In addition, these four inclusion types can

be classified then into the following four sub-groups based on the length/width ratios: thin

(T), medium (M), heavy (H) and particular (P). It should also be mentioned that inclusions

found in liquid steel samples not deformed. Therefore, they are commonly only classified as

D type inclusions. Specifically, the following size ranges are commonly used to classify

inclusions detected in samples taken from liquid steel:

28 57. . DT m

57 113. . DM m

113 22 6. . DH m

DP m 22 6.

During the determination of inclusions sizes in the light optical microscope, the PC-MIC

software [37] was used to calculate the number of inclusions per mm2 as well as the area

percentage of inclusions in each analysed sample.

2.2 Thermodynamic examinations

It is clear that several thermodynamic models can be used to calculate slag/metal equilibriums

and inclusion/metal equilibriums. For tool steels, the Wagner equation is less suitable to use

since the alloy content is so high that the liquid metal could not be treated as a dilute solution.

At the same time, the dilute solution assumption is often used to determine the dissolved

element activities in high alloyed steels due to that this approach is so simple to use.

However, in order to make a compare the simplified calculation based on a dilute solution

model it is common to calculate the slag/metal equilibrium by using thermodynamic

softwares such as, for example, Thermo-Calc [38] which has been used in this work.

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When aluminium is added as a deoxidizer to the liquid steel, the following reaction takes

place if it is assumed that the dissolved oxygen and aluminium in the molten steel and the

alumina in the oxide phase are in equilibrium:

)(32 32 sOAlOAl (4)

where the oxygen activity (aO) and the aluminium activity (aAl) in the molten steel as well as

the alumina activity (aAl2O3) in the oxide phase (inclusion or top slag) can be calculated in the

following manner:

32

32

Al

OAl

OaK

aa

(5)

where K is the equilibrium constant, which can be calculated in the following way based on

the Gibbs free energy:

)exp(RT

GK

(6)

where the Gibbs free energy can be expressed as follows according to Hayes [39]:

TG 714.3861205115 (J/mol) (7)

Henry’s law is used to calculate the aluminium activity in equation (5):

jfajj

% (8)

and Wagner’s equation is used to calculate the activity coefficient fj:

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ief i

jj %log (9)

where jf is the activity coefficient for element j in the molten steel, %i is the dissolved

elements in the molten steel, and i

je is the interaction parameter for element j .

The thermodynamic software Thermo-Calc [38] is made up of different thermodynamic

models and databases, which may be used for calculations of component activities in oxide

phases. In the present work, calculations were done to determine the alumina activities of the

different oxide inclusion phases and the top slag samples.

2.3 Removal rates of impurities

The removal rates of impurities are often found to obey a first order reaction kinetics. For

example, the thermodynamics and kinetics for refining of hydrogen and sulphur have been

reported by several researchers [21, 34]. The nitrogen removal rate is more difficult to

calculate than the sulphur or hydrogen removal rates. For nitrogen it is necessary to decide

whether the reaction is a first order or a second order reaction.

Typically, a first-order differential equation to describe the refining rate for impurity elements

in steels may be written as follows:

eqXX

M

Ak

dt

Xd%%

%

(10)

where X is the concentration of the impurity element, for example H, N or S. Furthermore, the

parameter k is the mass transfer coefficient, ρ is the steel density, A is the interface area

(effective reaction area) between the steel phase and the refining phase, M is steel mass and

[%X] is the concentration of the impurity element. Also, the parameter [%X]eq is the

hypothetical concentration of the refined impurity element in the steel phase in equilibrium

with the current concentration of the refining phase.

In general, an overall rate constant, β, is often used to replace the effective reaction area A.

This is due to that it is hard to estimate reasonable values of the reaction area A. Specifically,

the rate constant β may be defined as follows:

Page 21: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

20

M

Ak

(11)

The equilibrium content of element X in equation (10) may be calculated by using Sieverts’

law, which can be expressed as follows:

2

% X

X

X pf

KX (12)

where KX is expressed for each element of interest. Therefore, equation (12) can be written as

follows for the elements H and N:

RT

G

f

pX x

X

X0

exp% 2 (13)

where 2Xp is the partial pressure of element X in the gas phase, fX is the activity coefficient

for element X, R is the gas constant, and T is the temperature given in Kelvin. In the present

work it was assumed that the partial pressure of element X was equal to the total pressure in

each case. This simplified the calculations.

In order to perform the equilibrium calculations, the interaction parameters, i

He in equation (9)

were taken from Engh [40]. In addition, the standard Gibbs free energy values were taken

from Hayes [39]. During the calculations, equation (10) was solved for each of the studied

elements, namely H, N, S. As a result, the following equation was obtained:

tXX

XXH

eq

eqt

%%

%%ln

0

(14)

where %Xt, %X0 and %Xeq are the element contents in the steel at time t = t, t = 0 and at

equilibrium, respectively. Here, the parameter X is used to represent H, S or N.

Page 22: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

21

As mentioned above, some reactions may take place according to second-order kinetics rather

than first-order kinetics. For example, Cho and Rao [41] reported that the nitrogen desorption

is a second order reaction when the sulphur contents in the steel is high. Similar results have

also been reported by Harada and Janke [42]. Specifically, they showed that both first-order

and second-order reactions will take place for steels with high sulphur and oxygen contents.

Based on these results, it was decided to also consider a second order reaction in this work as

well. Specifically, a second-order reaction may be expressed as follows:

22

%%´%

eqNNM

Ak

dt

Nd

(15)

where k´ is the second order mass transfer coefficient.

Deo and Boom [43] have reported that the two models that can be used to predict the mass

transfer control (the first order model) and chemical reaction control (the second order model)

can be used for the same theory as mentioned earlier. Specifically, a first order reaction can be

used for low surfactant concentrations and a second order reaction can be used for high

concentrations. These reactions can be expressed as follows:

1%%

ieq

m

CR NNk

k ; a first-order reaction (16)

1%%

ieq

m

CR NNk

k ; a second-order reaction (17)

where kCR is the chemical reaction coefficient, km is the mass transfer coefficient, iN% is the

interfacial concentration, and eqN% is the nitrogen concentration in the steel in equilibrium

with a nitrogen gas.

2.4 Steel cleanliness in the industry

As mentioned in the introduction, a clean steel grade can be indicated by low contents of

hydrogen, nitrogen, sulphur and oxygen. Also, typically low total oxygen contents in the steel

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22

correspond to low oxygen inclusion contents [44]. Here, low total oxygen contents are

achieved by adding elements which have high affinities to oxygen, according to the

Ellingham diagram. This procedure is named a deoxidation process. Typically, a deoxidation

process involves a reaction between a deoxidizer and dissolved oxygen under the formation of

an oxide. In general, this may be expressed by the following reaction:

xMe + yO = MexOy (18)

where Me is the deoxidiser, O is the dissolved oxygen, and MexOy is the oxide. Typically,

deoxidizers such as Si, Al, Ti and C are used in industry. However, in some cases elements

act mot only as a deoxidizer but also as an alloying element, such as in the case of Mn.

Several previous studies have reported the best practice to obtain a low sulphur content during

a refining operation [45-47]. Here, the sulphur removal is often discussed in combination of a

lowering of the oxygen content in the steel. In this study, the focus is on the relation between

the aluminium content in the steel and the removal of sulphur. Here, the sulphur removal

reaction can be expressed as follows:

𝑆 + (𝑂2−)𝑠𝑙𝑎𝑔 = 𝑂 + (𝑆2−)𝑠𝑙𝑎𝑔 (19)

2𝐴𝑙 + 3𝑂 = 𝐴𝑙2𝑂3(𝑠) (20)

These reactions result on that sulphur is removed to the slag and that the dissolved aluminium

reacts with oxygen under the formation of alumina inclusions. Reaction (19) results in that the

dissolved aluminium content in the steel is decreased. Also, Andersson et al. [48] has reported

that the aluminium content can decrease during vacuum treatment due to reactions with FeO,

MnO and SiO2 which are present in the slag. Overall, this decrease of the dissolved

aluminium content in the steel is often taken as a measure of an overall reoxidation that has

taken place during ladle refining.

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23

3. EXPERIMENTAL

3.1 Plant description

Uddeholms AB, Hagfors, Sweden is a scrap-based steelmaking company. The scrap is melted

in an electric arc furnace and then transferred to the ladle station in a 65-tonne ladle. At the

ladle station, the steel melt is deoxidized and alloyed. Thereafter, the ladle is transferred to the

vacuum degassing station, where it will undergo vacuum treatment to remove H, N and S.

Finally, the steel is cast using uphill teeming.

3.2 Plant trials

Three tool steel grades were evaluated; i) a modified 420 steel grade (0.25%C, 0.35%Si,

0.55%Mn, 13.3 %Cr, 0.35%Mo, 1.35%Ni, 0.017%Al and 0.12%N), ii) a H13-steel grade

(0.39% C, 1.0% Si, 0.4% Mn, 5.3% Cr, 1.3% Mo and 0.9% V) and iii) a Mn-alloyed

chromium steel. In the first supplement, samples were taken before and after the vacuum

degassing treatment. Furthermore, in the second and third supplements sampling were done

before vacuum degassing and at different times during the vacuum degassing process. Note,

that the normal vacuum treatment was interrupted in order to obtain the samples. The

sampling in the fourth supplement was made before a deslagging (removal of EAF-slag) was

carried out at the ladle station as well as before and after the vacuum degassing operation. The

samples obtained were steel, slag and temperature samples. Also, two kinds of steel samplers

were used, namely the LSHR [8] and the RS [35] samplers. The temperature measurements

were combined with oxygen activity measurements.

3.3 Sample evaluations

In the case of RS-samples, two samples were obtained at each steel sampling. One sample

was used to determine the chemical composition of steel and later on for light optical

microscopy. The other steel sample was used for determining the oxygen, carbon and sulphur

contents. Also, the LSHR-samples were constructed to be sufficient for all evaluation. These

steel samples were analysed by using a light optical microscope (LOM) to establish the

inclusion content. The classification was made using the JK’s chart SS 11 11 16 [36].

Thereafter the chemical composition of the inclusions was determined by using a scanning

electron microscope (SEM) equipped with energy dispersive spectroscopy (EDS).

3.4 Thermodynamic calculations

Thermodynamic calculations were made for supplement 1, 3 and 4. A prediction of the

oxygen activity for the equilibria steel/inclusion (supplement 1) and steel/top slag

(supplement 1,4) as well as a calculation of the sulphur, hydrogen and nitrogen activity

(supplement 3) was made with the use of the data of the steel composition, temperature, bulk

Page 25: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

24

and top slag weight. Also, the activities were calculated by using both the Wagner’s equation

(supplement 1,3) and by using a thermodynamic software. The latter was the thermodynamic

software Thermo-Calc [38] which was used together with appropriate databases as explained

in detail in the supplements.

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25

4. RESULTS AND DISCUSSION

A short review from the supplements referring to their main topics is shown below. The topics

are the following: the effects of changing the top slag, the evolution during vacuum treatment

time, the removal of H, N, S and process control.

4.1 Change of top slag (supplement 1)

4.1.1 Inclusion content

In supplement 1, the main focus was to study the effect of a changed top slag composition on

the inclusion composition. Samples were taken before and after vacuum degassing for three

heats (A, B, C) of a 420 modified steel. The top slag composition for the two latter heats were

altered in the way that heats B and C had a higher CaO-content and a lower MgO-content than

that of heat A. The compositions of the slag samples were determined and the steel samples

were analysed both with respect to the steel composition and inclusion characteristics. Also, a

comparison of the steel/slag and steel/inclusion equilibria was made by using Wagner’s

theory as well as by using Thermo-Calc simulations.

When looking at the total number of inclusions per mm2 in Figure 1, it can be seen that the

number of inclusions decreases during the vacuum degassing operation. Furthermore, after

vacuum treatment the total amount of inclusions are similar in number for the different top

slag compositions. It can also be seen that the samples taken before vacuum degassing show a

different amount of inclusions. Hence, in this case it does not seem like the different top slag

compositions do affect the total amount of inclusions in the steel.

Figure 1. Total amount of inclusions per mm2 as a function of the process step

0

0,5

1

1,5

2

2,5

3

Before vacuum After vacuum

To

tal

nu

mb

er

of

inc

lus

ion

s/m

m2

A

B

C

Page 27: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

26

On the contrary, a correlation between a changed top slag composition and the number of

larger inclusion has been found. Since the larger inclusions are of greater concern for the

manufacturer it is therefore of importance to be aware of eventual risks of creating large

inclusions. In Figure 2 it can be seen that the number of large (>11.2μm) inclusions have

different values before vacuum degassing. For heat A there is a large decrease in the inclusion

number, a 70% loss. However, in the case of heats B and C, there is a slight increase in the

inclusion number. More specifically the gain is 20-30%, which could be due to their similar

top slag compositions.

Figure 2. Number of inclusions (>11.2μm) per mm2 as a function of the process step

4.1.2 Inclusion composition

The inclusion compositions were also examined, which is shown in Table 1. Before vacuum

degassing the inclusion composition varies and it is not similar to the top slag composition.

However, after vacuum treatment the inclusion composition has been altered and resembles

more the top slag composition. Also, there are no variations, since only one type of inclusions

was found. This applies to all three heats. The most common type before vacuum treatment is

type a, which is a single phase Al2O3•MgO spinel inclusion. After vacuum treatment, only the

phases d, f and k were found in heats A, B and C, respectively. Also, the top slag of heat A

has a higher MgO content than the top slags in heat B and C. However, heats B and C have a

higher CaO content than heat A. This is reflected in the inclusion composition after vacuum

degassing.

0

0,01

0,02

0,03

0,04

0,05

0,06

0,07

Before vacuum After vacuum

Nu

mb

er

of

inc

lus

ion

s/m

m2

A

B

C

Page 28: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

27

Table 1. Phases of micro inclusions – determined by using SEM-EDS.

Phase Al2O3 SiO2 MnO CaO MgO Cr2O3

Found in

sample*

a 75-78 - - - 22-25 - A1, B1, C1

b 78 - - 7 15 - A1

c 62 2 - 36 - - A1

d 45 6 - 46 4 - A2

e 40 8 - 52 - - B1

f 33 6 - 61 - - B2

g 33 34 - 33 - - C1

h 25 39 23 - - 13 C1

i 63 - - 31 6 - C1

j 49 20 14 - - 17 C1

k 30 12 - 58 - - C2

(*A1, B1 and C1 are samples taken before vacuum treatment, while A2, B2 and C2 are

samples taken after vacuum treatment.)

4.1.3 Thermodynamic calculations

The second part of supplement 1 deals with thermodynamic calculations. Three cases of

equilibria were considered, I: steel melt/inclusion (before and after vacuum degassing), II:

steel melt/top slag (before and after vacuum degassing) and III: steel melt/top slag (after

vacuum degassing). In the first two cases (I and II) the oxygen activity was calculated using

the equilibrium reaction (4). Wagner’s equation was applied for the calculations of the

dissolved element activities together with the Thermo-Calc software to calculate the alumina

activity (aAl2O3). In case III, only the Thermo-Calc software was used to calculate the

metal/top slag equilibrium. Overall, the values obtained in all three cases were not close to

those of the measured values. This could be due to uncertainties during sampling or errors in

the thermodynamic models used. It is seen that the values of the steel/inclusion oxygen

activity is closer to that of the steel/top slag after vacuum degassing compared to the oxygen

activity before vacuum degassing. This can be related to the fact that the inclusion

composition approaches the top slag composition during the vacuum treatment.

Page 29: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

28

In Figure 3 the difference between the two cases II and III is shown. The difference between

the two cases is greater for heat A than for heats B and C. One reason could be that heats B

and C are closer in top slag composition compared to heat A.

Figure 3. A comparison of calculated oxygen activity values for the slag/metal

equilibriums in cases II and III (after vacuum degassing). The reference state for the

activity of oxygen is a 1% hypothetical solution.

0

0,2

0,4

0,6

0,8

1

1,2

A2 B2 C2

Ac

tivit

y o

f o

xyg

en

(*1

0^

4)

Sample

Case II Case III

Page 30: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

29

4.2 Evolution of inclusion characteristics during vacuum degassing (supplement

2)

Supplement 2 deals with the evolution of inclusion characteristics during vacuum degassing

in H-13 steels. Ten interruptions during vacuum treatment were made during the same amount

of heats. Five different interruptions were made, at 3, 6, 9, 15 and at 22 minutes of vacuum

degassing. The experiment was made in two series, named the a-serie and the b-serie. The aim

was to obtain a first understanding on how the inclusion characteristics change during vacuum

treatment. For each heat, steel, slag and oxygen activity samples were collected before and

during the interruption of the vacuum degassing operation. The steel and slag samples were

examined with respect to their composition. Furthermore, the steel samples were also cut to

enable a determination of the inclusion characteristics inside the steel samples.

4.2.1 Total oxygen content

In Figure 4, the relative decrease of the total oxygen content in the steel is shown. During the

first ten to fifteen minutes of the vacuum treatment the total oxygen is decreased with more

than 50%. However, after fifteen minutes, the total oxygen content seems to increase again.

The analysis of the total oxygen is somewhat uncertain, since a high total oxygen value could

be explained by a large inclusion being present in the piece of steel that is analysed. Hence,

this would result in a large value of the total oxygen content. It should also be noted that each

point in the figure represents one single heat.

Figure 4. Decrease of the total oxygen content in the steel during vacuum treatment

0

0,5

1

1,5

2

2,5

0 5 10 15 20 25

Oto

t(t)

/Oto

t(t=

0)

Time of vacuum treatment (minutes)

( )

Page 31: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

30

4.2.2 Inclusion content

Figure 4 can be related to Figure 5 due to that the total oxygen content represents an

approximate measurement of the amount of inclusions. Thus, in Figure 5 the same trend is

noted as was seen in Figure 4. At first, there is a decrease in the number of inclusions. Then,

after some fifteen minutes the decrease has diminished or even turned into a small increase.

The results for the smaller inclusion size classes is the same as those found in Figure 5.

However, not enough data is available for the larger inclusions (>11.2µm) due to a low

number of inclusions, so the results for these inclusions are not statistically reliable.

Figure 5. Decrease of total inclusion content in steel (#/mm2) during vacuum treatment

4.2.3 Inclusion composition

The compositions of the inclusions are shown in Table 2. Before and during the first six

minutes of vacuum treatment, several types of inclusions, (types m-v), were found in the steel

samples. Thereafter, the inclusion compositions seemed to approach the top slag composition,

as represented by the type x inclusions.

0

0,2

0,4

0,6

0,8

1

1,2

0 5 10 15 20 25

#In

clu

sio

n(t

)/#

Inc

lus

ion

(t=

0)

Time of vacuum treatment (minutes)

( )

Page 32: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

31

Table 2. Phases of micro inclusions – determined by using SEM-EDS

Type Al2O3 SiO2 CaO MgO Cr2O3 MnO

Found in

sample*

m 69 <1 2 29 a and b (BV)

n 68 32 a (BV, V3)

o 59 <1 32 4 4 a and b (BV)

p 48-50 1.5-2 38-41 7-7.5 0-4

b (BV), a

(BV)

r 25 42 43 8 a (V3)

s 63 <1 1.5 32 3 <1 a (V3)

t 47 1.5 43 9 a (V6)

u 25 22 41 12 a (V6)

v 55 22 1,7 <1 3 16 a (V6)

x 36.5-40 1.5-4 49.5-55 5-7

a and b (V9,

V15, V22)

y 33 18.5 39 10 b (V15)

z 25 30 31.5 14.5 b (V15)

(*BV: before vacuum degassing, V3: stop after 3min of vacuum degassing, V6: stop after

6min, V9: stop after 9min, V15: stop after 15 min, V22: stop after 22min.)

4.2.4 Desulphurization rate

In Figure 6, the desulphurization rate is shown as a function of the vacuum treatment time. It

can be seen that the rate decreases rather fast up to approximately a time of ten minutes of

vacuum treatment. After that, the rate remains constant at a low desulphurization rate.

However, there is one heat which has a very high desulphurization rate. This heat also has a

higher total oxygen content (Figure 4) and a total inclusion content (Figure 5). Furthermore, it

has a different inclusion composition. The other five heats at nine, fifteen and twenty-two

minutes of vacuum degassing contain mainly one singular type of inclusions. However, this

heat (sampled after fifteen minutes of vacuum degassing) contains several different inclusion

types, types x-z. In general, this heat contains inclusions with a higher amount of SiO2. One

possible reason for that may be that the higher desulphurization rate causes a local depletion

of aluminium in the steel. Since silicon is another element with a high oxygen affinity it will

also react with the dissolved oxygen that is supplied during the desulphurization. This will

result in a formation of silica inclusions.

Page 33: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

32

Figure 6. Rate of desulphurization as a function of the vacuum treatment time

0

0,00005

0,0001

0,00015

0,0002

0,00025

0 5 10 15 20 25

Time of vacuum treatment (minutes)

ΔS

/Δt

(wt%

/min

)

( )

Page 34: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

33

4.3 Removal of Hydrogen, Nitrogen and Sulphur (supplement 3)

This supplement focuses on the removal of hydrogen, nitrogen and sulphur during the vacuum

degassing process. The main goal was to be able to implement the result into the production

process. The sampling series used are described in section 3.2.

4.3.1 Hydrogen removal

In Figure 7 the relative decrease of hydrogen can be seen. During the first ten minutes, almost

70% of the initial hydrogen content is removed. Hence, the dehydrogenation process is very

rapid and the required hydrogen limit for the product is reached well before the vacuum

treatment time of thirty minutes has passed.

Figure 7. Relative decrease of the hydrogen in steel during the vacuum degassing

operation. The two different series representing the two sampling series described in

section 3.2.

4.3.2 Sulphur removal

The relationship between calculated and experimentally determined equilibrium sulphur

concentrations can be seen in Figure 8. Three different slag weights (740 kg, 1000 kg and

1500 kg) were used in the calculations. This was done to cover the normal range of the

amounts of slag used in the process. The data indicates that the steel’s sulphur concentrations

are close to the equilibrium values for the plant trials.

Page 35: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

34

Figure 8. Equlibrium and actual sulphur contents

Figure 9 illustrates the desulphurization kinetics for three different amounts of slag mentioned

above. As can be seen, the slopes are very similar, (0.0505; 0.0506 and 0.0423 respectively).

Hence it is very likely that for fairly similar sulphur contents, the amount of slag does not

affect the desulphurization kinetics to a large degree.

0

0,001

0,002

0,003

0,004

0,005

0,006

0,007

0 0,001 0,002 0,003 0,004 0,005 0,006 0,007

[%S]plant trials

[%S]e

quil

ibri

um

740 kg slag

1000 kg slag

1500 kg slag

Page 36: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

35

Figure 9. Desulphurization kinetics calculated by using the first order reaction model

for three different slag weights, namely 740kg, 1000kg and 1500kg.

4.3.3 Nitrogen removal

In figure 10, the nitrogen removal kinetics as a function of vacuum treatment time is seen.

Both first-order and second-order equations are presented. The second-order rate equation

was examined as to evaluate if the rate calculations would be improved. However, no

improvement was seen and the R2-value also indicates that there is no difference between the

two rate equations.

y = 0,0506x + 0,407

R2 = 0,5328

y = 0,0423x + 0,3268

R2 = 0,6953

y = 0,0505x + 0,7459

R2 = 0,3872

0

0,2

0,4

0,6

0,8

1

1,2

1,4

1,6

1,8

2

0 5 10 15 20 25

Deg as s ing tim e (m inutes )

740kg

1000kg

1500kg

Page 37: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

36

Figure 10. Denitrogenation kinetics calculated using the first and second order reaction

models

It is known that oxygen and sulphur have a large influence on the kinetics of nitrogen

removal. In order to state that the first-order reaction is valid, the oxygen content and sulphur

content should be below 80ppm. For the studied steel grade, the values are well below the

given limits.

Page 38: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

37

4.4 The role of process control (supplement 4)

Supplement 4 discusses the relation between some process parameters to the the properties of

steel and slag. The effect of using the same process route for two steel grades having different

properties was studied.

4.4.1 Steel properties

The analyses of the two steels grades (A and B) have three major differences taken into

account in this study, namely Si-, C- and Mn-content. All three elements represent

deoxidizers of different magnitudes. In figure 11 the difference in analysis is seen.

Figure 11. Si-, C-, Mn-contents in the studied steel grades (A and B)

The process route is similar for the studied steel grade, both in the electric arc furnace (EAF)

as in ladle (LF) and vacuum treatment (VD). More specifically, with respect to the melting of

return scrap of the specific steel grade and the process time in the LF and VD reactors.

However, the temperatures are not equal due to the higher liquidus temperature of steel grade

B compared to steel grade A.

0,00

0,50

1,00

1,50

2,00

2,50

3,00

Si C Mn

wt-

%

Si-, C-, Mn-content i steel grade A and B

A

B

Page 39: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

38

4.4.2 Slag properties

As mentioned above, the steel grades have a similar process route. This also applies to the

addition of new synthetic slag in the LF. After the steel is tapped into the ladle, the EAF-slag

is raked of and new slag added. Both the amounts and materials are similar for the studied

steel grades. However, as seen in figure 12, the slags of the different steel grades do not

behave in similar ways.

Figure 12. FeO+MnO in slag vs S-content in steel at different process steps after

deslagging and new synthetic slag has been added. Points representing heat A has been

marked to differentiate from the B-heats.

The sulphur content in steel seems to follow the sum of the FeO and MnO contents in the

slag, where a lower content in the slag corresponds to a lower content of sulphur in the steel.

What also is noticeable is that the FeO+MnO contents and sulphur contents are lower for the

A-heat than the B heats at all process steps. One of the B-heats has a higher content of

FeO+MnO, which may be caused by a late addition of scrap in the EAF. The late addition

caused a larger amount of slag as well as an extra addition of oxygen compared to a normal

procedure. The EAF-slag of steel grade B has properties that make it harder to rake off.

Hence, some EAF-slag may be left in the ladle which will result in a higher content of

FeO+MnO in the new synthetic slag.

0

1

2

3

4

5

6

0 0,001 0,002 0,003 0,004 0,005 0,006 0,007 0,008 0,009

FeO

+Mn

O (

wt-

%)

S (wt-%)

Fe+MnO in slag vs S-content in steel

DH02

BV

AV

A A

A

Page 40: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

39

4.4.3 Deoxidation

The steel grades have similar deoxidation processes, i.e. the same aluminium additions are

being used. However, the steel grades react differently to this addition since their oxygen

contents in steel and slag differs.

When looking at the aluminium content it can be seen in figure 13 that the aluminium content

is higher at all process steps for steel grade A compared to steel grade B. The loss of

aluminium in steel may be explained by the desulphurization process, which is described in

equation (19).

The dissolved oxygen forms alumina inclusions according to equation (4). However, the

dissolved aluminium may also react with oxygen dissolved when FeO and MnO are being

reduced during vacuum treatment. This can be described as seen in equation (3).

It has been stated earlier that the slags of the B heats have higher FeO+MnO contents than the

A heats. This may be a reason why the aluminium content is lower in the B-heats than in the

A-heats, as seen in figure 13.

Figure 13. Aluminium content at different process steps for all heats

The connection between aluminium, sulphur and oxygen is also visible in figure 14.

0

0,01

0,02

0,03

0,04

0,05

0,06

0,07

0,08

0,09

DH02 BV AV

(wt-

%)

Al-content at different process steps

A1

B1

B2

B3

B4

B5

Page 41: The Effect of Ladle Treatment on Steel Cleanness in Tool Steels

40

Figure 14. S- and Al-content in steel vs measured oxygen activity at process step AV for

the different steel grades (A, B).

The aluminium contents for the B-heats are lower than for the A-heat and the sulphur content

as well as the oxygen activity are higher in the B-heats compared to the A-heat. This may

indicate that the aluminium content is not high enough to support a deoxidation and

desulphurization, as in the case of steel grade A.

4.4.4 Oxygen activity calculations

Oxygen activity calculations were made to compare with measured oxygen activities. In

figure 15 the calculated oxygen activity at different process steps for steel grade A is shown.

The relation of the calculated activities for process step BD to the measured activity is

approximately 60 to 90% and for the following to steps, the relation is even larger, namely

approximately 15% and 30%, respectively. Between the process steps BD and BV, a

deslagging operation is performed. During this period it is possible for the steel to have an

oxygen pick-up. However, this reoxidation has not been taken into account when making the

calculations.

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Figure 15. Calculated oxygen activities at different process steps for steel grade A

If the measured values of oxygen activities are assumed to have small uncertainties and hence

being close to the actual oxygen activity, the values may be set as a condition for the oxygen

activity. Then it is possible to compare the activity of FeO in liquid slag with the original

calculations to those using the measured oxygen activity. In figure 16 the comparison of the

two calculated activities is seen. Here, the relative error for activities at process step BD is

small but for process steps BV and AV the error is larger. What is noticeable is that the probes

used for sampling should not be used for temperatures below 1570°C and samplings made at

BD and AV are close to the lower limit of the temperature range. An interpretation of the

result may be that the available oxygen in the system is poorly estimated due to the use of the

assumption that multivalent species, such as Fe and Cr, only comes as a single valence state,

e.g. Fe2+

and not as a mixture of Fe2+

and Fe3+

. Therefore, the Fe2+

/Fe3+

ratio should ideally be

measured to make a clear conclusion with respect to the oxygen activity.

0

5

10

15

20

25

BD BV AV

(pp

m)

Oxygen activities at different process steps for steel grade A

TCFE8+SLAG2 (ppm)

TCOX5 (ppm)

Measured oxygen activity (ppm)

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Figure 16. Activity of FeO in liquid slag with calculated and measured aO set as the

specific conditions.

0,0001

0,001

0,01

0,1

1

0,0001 0,001 0,01 0,1 1

a(Fe

O),

cal

cula

ted

aO

a(FeO), measured aO

a(FeO), calculated vs measured aO

BD

BV

AV

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43

5. CONCLUDING DISCUSSION

This thesis is based on four supplements. The focus of the supplements is ladle refining and

vacuum degassing. More specifically, the influences of the operation praxis in these process

parts on the inclusion characteristics and on the content of unwanted elements. The first

supplement concerns the effect of changing the composition of the top slag and the second

deals with the evolution of the inclusion characteristics during vacuum degassing. The third

supplement focuses on the evolution of the hydrogen, nitrogen and sulphur contents during

vacuum treatment. Finally, the fourth supplement concerns an evaluation of the ladle process

aiming at optimizing the process in order to reduce the oxygen content.

It has been seen that the inclusion composition changes with a changed top slag composition.

For the experiments with an increased CaO-content in the top slag, the CaO-content in the

inclusions was increased. After vacuum treatment, the inclusion composition was found to

approach the composition of the top slag. It is also seen that the inclusions have a more

homogenous composition after vacuum treatment, with only one inclusion type, compared to

before vacuum treatment. The thermodynamic calculations showed that the oxygen activity

for the steel/ inclusion (aO,eq ) was 2-3 times higher than that of the steel/top slag before

vacuum treatment. It was also concluded that the theoretical equilibrium oxygen activity for

the steel/ inclusion (aO,eq ) will become more similar to the oxygen activity for the equilibrium

steel/top slag during the course of vacuum degassing.

The study also showed that the number of inclusions was reduced during the course of the

vacuum degassing operation. However, for the larger inclusion type, DP, there is a trend that

the number of inclusions increases at the end of the treatment. Then, after around 10 minutes

of degassing the inclusion characteristic data have reached their minimum or plateau values. It

was also observed that when the desulphurization rate is high, the total oxygen in the steel

will remain high. This, in turn, will lead to a high number of inclusions.

During vacuum degassing treatment, the removal of hydrogen and nitrogen is more or less

finished after 10 minutes, due to that the target values have been reached. This may be

described by a first-order reaction. However, the sulphur removal in the studied steel grade

seems to follow the equilibrium sulphur content at all times throughout the process. Thus, the

sulphur removal can continue for longer times than that of the hydrogen and nitrogen removal

in order to reach even lower contents.

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The process control before vacuum degassing will set the conditions for how the outcome

may be. The oxygen activity is dependent on the aluminium content. Therefore, it is necessary

to have control of the addition of aluminium to the steel (the deoxidation process). Also, the

slag from the electric arc furnace may have properties that cause problems to make a complete

deslagging operation. In this case, the remaining electric arc furnace slag will force an

increase in aluminium addition as to keep the oxygen content low.

The results given in this thesis are valuable to use in a process model made to ensure a

stability in the process of steel making during ladle refining. The experiments carried out

using an interrupted vacuum degassing can be used as a way of verifying the process model.

However, since the argon flow is not a true value, it is difficult to know how reliable the exact

numbers are. During the investigations it has also been noted that the argon flow is different

for each heat. However, the stirring seems to be similar when looking at the open eye itself.

Overall, it is necessary to have a stirring that is vigorous for the top slag to have effect on the

inclusion characteristics. With no stirring the top slag has no or little effect on the inclusion

composition.

This study has also shown that the initial conditions before vacuum treatment, such as the

sulphur content, are very important to know. The initial conditions will have a great influence

on the behaviour of oxide inclusions in the steel melt during the degassing. Therefore, a future

process model for vacuum treatment must consider these initial conditions carefully.

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6. CONCLUSIONS

The focus of this thesis is the effect of the ladle treatment on the steel cleanness in tool steels

based on plant trials. Steel samples have been evaluated with OES to determine the steel

composition, LOM to determine the inclusion size, and SEM in combination with EDS to

determine the inclusion composition. In addition, thermodynamic calculations have been

carried out to determine the oxygen activity in steel. Based on the results in this study the

most important specific conclusions may be summarized as follows:

Supplement 1

When changing the top slag composition, increasing CaO content and decreasing

MgO content it is seen in the change of inclusion composition. Hence, it is clearly

seen that the top slag composition has an influence on the inclusion composition.

The number of inclusions larger than 11.2µm increased slightly during vacuum

degassing.

Supplement 2

During vacuum degassing, after approximately 10 minutes the large inclusions reach a

plateau in minimum number.

When desulphurization rate is high, the total oxygen content will remain high, hence

rendering a high number of inclusions in the steel.

Supplement 3

Sulphur content for the studied steel seems to follow the equilibrium sulphur content

at all stages during vacuum degassing and therefore it is not possible to apply a first

order reaction to calculate the sulphur removal.

Hydrogen and nitrogen removal kinetics can be described by first order reactions for

the studied steel grade, as long as the sulphur content is below 0.003%.

The hydrogen and nitrogen removal is more or less finished after 10 minutes of

vacuum degassing.

Supplement 4

A careful deslagging is of great importance to reach stable aluminium content and

small reoxidation. The latter is indicated by the amount of FeO+MnO in the slag.

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Results from calculations of oxygen activity show similar values independent of

database used. However, the calculations differ largely from the measured values

which may be due to the assumption of the true oxidation state being disregarded.

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7. FUTURE WORK

Though some work has been done to investigate the behaviour of the inclusion characteristics

during the vacuum degassing treatment still many unanswered questions remain. In order to

get an even better insight to the area and a deeper understanding of the reasons for the change

of the inclusion composition during vacuum treatment, more studies should be performed.

Based on the results of this thesis, the following studies are suggested as further work:

Make detailed investigations on the mechanism of the change of the inclusion

composition during vacuum treatment.

Make further plant trials to investigate the evolution of the inclusion characteristics

during vacuum degassing, when other process parameters are varied (i.e. initial

sulphur content, ladle age, temperature, previous steel grade in the ladle, etc.)

Study if it is possible to relate the inclusion content to the oxygen activity and -

dissolved oxygen during the ladle treatment process in tool steels.

Study how it is possible to accurately measure and control the argon flow during the

ladle treatment.

Implement the degree of deslagging as a parameter in a future process control model

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