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VisiMix Simulation Model and Main Applications.
Moshe Bentolila VisiMix Ltd,
PO Box 45170,
Jerusalem, 91450,
Israel
Tel: 972 - 2 - 5870123
Fax: 972 - 2 - 5870206
E-mail: [email protected]
1
Process Scale-up, Process Safety, Hazards Evaluation, Mass Transfer and Mixing
Challenges Conference Texas A&M University August 14-15
Contents
• Introduction
• Motivation
• VisiMix Model
• VisiMix Applications in Industry – R&D Methodology - Saving more than 1 M$
– Safety Example
– High Shear Rate at Chemical Fast Reactions
• VisiMix Products
• Conclusions
2
About Us
VisiMix is a unique software enabling
chemical engineers, process engineers and
R&D personnel to visualize mixing processes
via a simple, user friendly interface.
Our products allow significant savings in time
and costs by drastically reducing the need for
trial-and-error. They have been successfully
adopted by hundreds of companies.
3
Customers and Markets
4
Customers and Markets 1. L'Oreal, France 2. BASF AG, Germany 3. Dow Chemical Company, USA 4. Searle (MONSANTO), USA 5. Lightnin, USA 6. LG Chemicals, S. Korea 7. Xerox , Canada & USA 8. The Gillette Co., USA & UK 9. De Dietrich, France & USA 10. ENIChem, Italy 11. Eli Lilly & Company, USA 12. NIPPON, Japan 13. Novartis, USA 14. Millennium, USA 15. ICI, UK 16. Hercules, USA 17. Pfizer, USA&UK&Gr. 18. Mitsubishi Chemicals 19. Abbott Laboratories, USA 20. GlaxoWellcome,UK&Singapore
1. L'Oreal, France 2. Techmix S.r.o, Czesh Republic 3. BASF AG, Germany 4. BASF, Denmark 5. BP Chemicals - Wingles, France 6. Sanofi Recherche, France 7. Technimont, Italy 8. Nycomed Imaging, Norway 9. Hoesch & Sohne, Germany 10. DSM, The Netherlands 11. Searle (MONSANTO), USA 12. Lightnin, USA 13. Chevron, USA 14. Teva, Israel 15. Plantex, Israel 16. Bromine Compounds, Israel 17. ENSIC, France 18. LG Chemicals, Taejon-city, S. Korea 19. LG Tech, Yeochon-city, S. Korea 20. Lonza, Switzerland 21. Thai Plastic and Chemical Public Company, Thailand 22. Xerox Research Centre of Canada, Canada 23. Xerox, USA 24. The Gillette Co., USA 25. Gillette, UK 26. Lecaros, Chile 27. SK Chemicals, S. Korea 28. Dow Chemical Company, USA 29. Monsanto, USA 30. Buchi AG, Switzerland 31. Agisys, Hungary 32. Samsung, S. Korea 33. Mervers, Holland 34. American Cyanamid Company, USA 35. Belinka Belles, d.o.o., Slovenia 36. LG Chem. , ABS Division (S. Korea) 37. BFGoodrich Advanced Technology Group, US 38. PT MECO INOXPRIMA, Indonesia 39. Ion Exchange, India 40. IL JIN Eng. & Const. Ltd., Korea 41. CSIR Ltd., South Africa 42. PTI, Brazil
43. De Dietrich, France 44. De Dietrich, USA 45. Rhodia (Rhone Poulenc Group), Brazil 46. Inymassa, Spain 47. ENIChem, Italy 48. Satake, Japan 49. Chesebrough-Pond’s, USA 50. Unilever, Italy 51. Schering-Plough, USA 52. Ontec, Israel 53. Cytec, USA 54. Degussa, Germany 55. IHN Groningen BV, the Netherlands 56. PEAS BV, the Netherlands 57. Eli Lilly & Company, USA 58. BSL (Dow group), Germany 59. VMD PTE Ltd., Singapore 60. Tecnicas Reunidas, Spain 61. NIPPON, Japan 62. Chr. Hansen, Denmark 63. Danisco, Denmark 64. Novartis, USA 65. SNECMA, France 66. Millennium, USA 67. Ucosan B.V., Holland 68. Norde Veenendaal B.V., Holland 69. Akzo Nobel, Germany 70. Astra Charnwood, UK 71. ICI, UK 72. Stork, Netherlands 73. Hercules, USA 74. Luigi Menestrina, Italy 75. Siersma Leidshendam, the Netherlands 76. Sara Lee, the Netherlands 77. Pfizer, USA 78. Pfizer, UK 79. Pfizer, Germany 80. Beiersdorf AG, Germany 81. Sintef Applied Chemistry, Norway 82. Chemitec OY, Finland 83. Makhteshim, Israel 84. Chemagis, Israel
85. Nitto Denco, Japan 86. 3M, USA 87. Broom Chemie, the Netherlands 88. Atlas-Stord, Denmark 89. Canon, Japan 90. Mitsubishi Chemicals 91. Imation, USA 92. NIKKI, Japan 93. Fuji Xerox, Japan 94. Oxy Vynils 95. Scanlube, Sweden 96. GlaxoWellcome, Singapore 97. GlaxoSmithKline, UK 98. SmithKline Beecham, USA 99. M&F Process Simulation, The Netherlands 100. Abbott Laboratories, USA 101. Air Products, USA 102. Gruppo Lepetit, Italy 103. Johnson Polymer, Holland 104. Dow Corning, USA 105. Pharmacia Biotech, Sweden 106. Panandiker Research & Development (P) Ltd., India 107. Fujifilm, Japan 108. Katholieke Hogeschool Brugge-Oostende, Belgium 109. The Casali Institute, Israel 110. Noordelijke Hogeschool Leeuwarden, the Netherlands 111. Stettin University 112. Taiwan University 113. Ecole d'Electrochemie, France 114. Ecole Polytechnique, Canada 115. University of Western Ontario, Canada 116. University of Barcelona, Spain 117. Taejon National University, S. Korea 118. Otto von Guericke Universitat, Germany 119. Tsinghua University, China 120. VUOS, Czesh Republic 121. Universita di Roma, Italy 122. Hanyang University, S. Korea 123. Royal Institute of Technology, Sweden
Total > 200 customers
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Simple and Effective
The First and the only tool in the Industry
Reliable and accurate results
Based on More Than 300 Man Years of R&D and
Industry Experience
Replacing Pilot Experiments
Accelerated Time-to-Market process
User Friendly and easily accessible
Technology - Simulation of Mixing Processes
6
Motivation
7
Common Questions
Did we cover the main parameters during the process
development?
Will our facilities will be appropriate for the developed
process?
Does the equipment offer is good for the process?
What about safety and runaway scenario?
Do our process is robust?
Does the operational range parameters are large enough for
the manufacture facilities?
8
The Goal Once the Science of the process (Chemistry, Biology or physics) is known well, a common situation during the process transfer from lab to production or from site to site is the gap between the old and new results. Our first goal is to develop a process that will run properly in
the first trial on a new scale or site, similar to our successful results in the lab or in the old facility.
In order to achieve this, we need to evaluate the process with the same conditions we will have in the production phase. The main parameters we change are the hydrodynamics of
the system. If we are able to identify and control these parameters we will be able to achieve to the available and optimal solution.
9
Pharmaceutical Industry
•Active Pharmaceutical Ingredient (API)
10
Pharmaceutical Quality by Design • This FDA imperative is best outlined in its report “Pharmaceutical
Quality for the 21st Century: A Risk-Based Approach.”[*]
• In the past few years, the Agency has made significant progress in implementing the concepts of "Quality by Design" (QbD) into its pre-market processes.
• The focus of this concept is that quality should be built into a product with a thorough understanding of the product and process by which it is developed and manufactured along with a knowledge of the risks involved in manufacturing the product and how best to mitigate those risks.
• This is a successor to the "quality by QC" (or "quality after design") approach that the companies have taken up until 1990s.
* Pharmaceutical Quality for the 21st Century: A Risk-Based Approach http://www.fda.gov/oc/cgmp/report0507.html
11
API Batch Process Simulation – Scale Up Methodology. Roberto Novoa and Moshe Bentolila
QUALITY BY DESIGN
Establish: Critical Quality Attributes
Determine:
Critical Process Parameters
Define: Design Space
Set: Control Strategy
Quality by Design – Statistical Challenges Yi Tsong,. CDER, FDA 2007 FDA/Industry Statistics Workshop
12
Mixing Simulation Software
R&D
Production
Design
QbD
Data and Results Management
13
VisiMix Model
14
Technology - Simulation of Mixing Processes
15
Typical Mixing Parameters
Application * Key process and scale up parameters
Newtonian/ Non Newtonian Hydrodynamics and scale up
•Circulation flow rate •Local turbulence values •Shear rates
Blending- Single Phase mixing •Macro and micro mixing times •Max./ Min. concentration difference C
Suspension, Crystallization, Dissolution •Max. local conc’s •Max. shear rate •Crystal collision energy
Liquid liquid mixing Emulsification, Heterogeneous org. synth.
•Drop size dist. •Surface specific mixing time
Gas injection, Absorption, Gas liquid reactors •Gas hold up •Specific surface •KL a- spec. mass trans. rate
Biotechnology •Oxygen mass transfer rate
Heat transfer in tanks with different heat/cooling devices
•Media temp’ •Heat transfer coeff. •Specific heat/cool rate
16
Flow Chart of the Mathematical Model and Calculations INITIAL DATA
EQUIPMENT SUBSTANCES REGIME [type, design, size] [phases, composition, properties] [flow rates,
process parameters]
HYDRODYNAMICS
power consumption, circulation rate, forces, flow pattern, local
flow velocities
TURBULENCE
Macro-Scale Turbulent Mixing Micro-Scale Local Turbulence
Distribution of Turbulent Dissipation
MODELING OF MACRO-SCALE AND MICRO-SCALE
MIXING-DEPENDENT PHENOMENA
single-phase mixing, pick-up of solids, solid distribution, drop
breaking, coalescence, heat transfer, heating/cooling dynamics,
mass transfer,etc.
DYNAMIC CHARACTERISTICS OF MIXING-
DEPENDENT PROCESSES AT THE TRANSIENT STAGE
17
A simplified Scheme of Mixing in the Turbulent Regime
1 - Central zone;
2 - peripheral zone
3 - upper level of liquid
4 - shaft
5 - torque
6 - wall
7 - agitator’s blade
q - circulation flow rate;
D - eddy diffusivity
Wax - average axial
circulation velocity
18
VisiMix Model
Main Purpose of VisiMix Modeling : Analysis of processes based on simulation of mixing-dependent phenomena
19
Basic Characteristics of VisiMix Physical Models
• All the initial assumptions are based on fundamental scientific data.
• All parameters of the models are functions of basic flow characteristics, and not of the equipment specific features.
• All experimental coefficients in the equations have a clear physical meaning and are defined by independent measurements.
• The results of modeling are always verified by experiments with agitators and tanks of different types and sizes.
• All the calculation methods have passed a stage of industrial applications.
20
Typical VisiMix Reactor
Mbot
ω
Mbaf Mbl
Mwall
21
General Equilibrium of Momentum:
T
R
(r)dr;tgvRtgV;
VρwHfπR
wall M
T
tgT
0
12
2: wallof Resistance2
2
;
r
r
(r)dr/tg
vρi
hi
Ziς
ior M
)i
(rtgv
ib
ih
iZ
iς
i M r
2
1
22
2
2
:devices Internal
0i
ΣMbot
Mwall
Mimp
ΣM
;2
2 :k Agitator rtg r-voωrdr; U
R(r)U
ρbl,k
hbl,k
Zimp,k
Zbl,kς
imp,k M
imp
inr
22
The mathematical description of the tangential flow is based on the
momentum balance. For steady state conditions, the general
equilibrium is presented as the balance of the agitator torque and
flow resistance moments of the tank wall, its bottom and baffles;
these moments are expressed in terms of flow resistance and
calculated using empirical functions for the resistance factors (fw, fbl,
etc.,)
Coefficient Evaluation
23
Coefficient Evaluation
24
Local equilibrium of momentum
;0 shearresimp dMdMdM
;2
)(2
rdrrU
hZZdMimp
in
R
rblblimpblimp
;22
)()( 2
2
drrrv
rfdMtg
bot
);(2 2rHddM shear ;dr
dvturb
drdvLturb
2
Agitator:
Resistance:
Shear:
25
The system includes also an equation of the turbulent
transfer of shear momentum expressed in terms of the
"mixing length of Prantl" hypothesis :
Numerical Solution
26
Power Calculation ;impimpimp MP
;2
1 53 impimp
imp
blblbl R
R
hZP
;)(87.3
);/( 53
imp
blblbl
R
hZNp
DnPNp
Power number:
27
Power Numerical Results
28
Axial circulation
;axtgbl PPPP
;
2
sin)(3
drvr
hZP
imp
in
R
r
tgimp
blblblbl
;2
)(3
3
tgw
bftg
bfbfbftg VHRfRv
SZP
,22
0
2
zz
ubltgax HrQV
PPPP
;
0rr
zturbz
dr
dv
dr
dvLturb
2
Total consumption of power:
Impeller blades :
Tangential flow :
Axial circulation :
29
The description of the meridional circulation is based on the analysis
of energy distribution in the tank volume, and the calculations are
performed using the results of modeling of the tangential flow.
Axial circulation
1
2 3
4
5
30
Boussinesque model of turbulent mixing:
Macroscale Turbulent Diffusivity – after Prandtl model:
Local values:
Average values:
,drdVLD 2
T
;2x
C2D
xCV
τC
T
T/2*AL dr/S,0 dr
dVr2L2avDmax
r
31
Single Phase Mixing Description
Mixing Length Coefficient
32
33
Characteristic Time of Micromixing: Bulk volume:
1 bulk2 / Dmol
bulk (3/ bulk)1/4
Impeller Zone: 2 min
2 / Dmol , min / Dmol (3/ max)
1/4
3 = 3V/q + 2
Characteristic value:
= Min (2 , 3 )
34
The mathematical description of the macroscale
transport of substances in tanks with two and
more identical agitators placed at a considerable
distance from each other (at not less than 0.5
of the agitator diameter) must take into account
the following phenomena :
a) Axial circulation of media around each
agitator, resulting in the formation of cycles
described above;
b) Exchange by eddy diffusivity and circulation
inside each of these zones;
c) Exchange between the zones due to the
agitators’ suction of the media from the two
zones, mixing and pumping of the discharge flow
into the same zones;
d) Exchange between the zones of two
neighboring agitators by eddy diffusivity and
circulation
35
36
Heat Transfer in Tanks
37
43
41
31
0000
3
0
4
0
00
Pr)(267.0
;)(;5.11;
;1
);(1)(
W
Wt
t
t
CK
VVyV
a
aa
dy
Cq
dTR
WTT
tRdydT
taaCq
38
The mathematical modeling of temperature regimes in mixing
tanks with heat transfer devices is based on common equations
of heat balance which take into account an eventual change in
volume and height of the liquid level in the tank
VisiMix Application in Industry
39
QbD - Example
40
41
42
43
)1979, CEP, Berty(J.M. Methodology
LABORATORY
(R&D)
PILOT
(Pilot)
Demo – Simulation (Visimix, Dynochem,CFD)
PLANT
(Production)
BENCH SCALE (RC1,Mini Pilot)
LABORATORY
(R&D)
PILOT
(Mini Pilot)
PLANT
(Pilot,Production)
BENCH SCALE (RC1, HEL)
Scale
Down
Final
Disign Build
QbD
44
Equipment and Instrumentation
45
46
Lab and Prod Calculations
Moshe Bentolila, Roberto Novoa, and Wayne Genck, Michal Hasson, Efrat Manoff, "Computer Aided Process Engineering at Chemagis" , PHARMACEUTICAL ENGINEERING July/August 2011. 30-38
47
Non ideal stirring – non homogeneity • Before performance of scale up experiments VisiMix
simulation was used to check suspension at different Mini Pilot Reactors:
Reactor 7603 7605 7605 7607
Volume, L 10 25 25 50
RPM 500 (Max) 400 500 (Max) 150 (Max)
Main Characteristic
Liquid – Solid Mixing
Solid suspension quality
Complete suspension is questionable.
Partial settling of solid phase may
occur.
Complete suspension is
expected.
Complete suspension is
expected.
Complete suspension is questionable.
Partial settling of solid phase may
occur. Max. degree of non uniformity of solid
distribution
AXIAL, % 22.3 10.3 29.1 132
RADIAL, % 65.7 34.3 76.3 90.8
Not all Mini Pilot reactor are capable of full suspension of The
Solid. 48
Process parameters vs. constraints
Case Target Function Yield EOR [hr] Stirrer [rpm] TEMP [0C]
A
High demand to the product and the
reactor.
Yield →max, EOR≤8
98.1 8 546 26
B
The price of the product equals 10 times
the value of reactor availability.
(10∙yield-EOR)→max
98.4 8.3 623 25
C
High demand of the product with low
availability of reactors. One hour of
available reactor equals 10 times yield.
(1∙yield-10∙EOR)→max
95.2 1.5 483 39
D
High availability of reactors, High cost of
impurity purification.
(10∙yield-10∙IMAM-1∙EOR)→max
98.9 14.4 637 20
Bentolila, M., Kennet, R., “Scale-up Optimization Using Simulation Experiments,” presented at the American Institute of Chemical Engineers (AIChE), Palm Springs California, 11-16 June 2006.
49
Methodology
In the three years since the commencement of this process, their engineers achieved a high level of proficiency in the use of the simulation models in order to analyze the results as a function of the process operational parameters. After three years of working with this integrated plan – they have summarized their knowledge and experiences up to this point, as follows: 1. VisiMix products, when integrated in the validation process (up until they
achieved a stable process and confirmed the production) – helped to reduce the number of lost production batches (each batch valued in millions of dollars) - from 100 to just under 10 batches – (review slide 25)
2. VisiMix program used in conjunction with another simulation tool - as
reported in this presentation - contributed to the improvement of the teamwork style and professionalism. Net results were observed throughout the implementation of the new solution in better project development: EOR (end of reaction) time reductions, projects development time and cost reduction, and in addition - increasing the expertise and qualification level of the professional staff.
The presentation can be review on the Visimix Website in the References - Users Publications page. (Scale up optimization using simulation experiments-Chemagis
presentation)
50
Methodology stable process is achieved a # produced lots needed until
51
VisiMix Application
Runaway Reaction Simulation
52
Objectives This example shows how to simulate 2nd order exothermal reaction carried out in a stirred batch reactor. • VisiMix performs simulation of exothermal reaction based on the analysis of the equipment and process parameters. • Helps avoid runaway reaction that may take place when the energy generated by the reaction is greater than the energy removed from the reactor.
•The task is to evaluate the suitability of your equipment to the exothermal process described above.
53
Problem description: A second order irreversible reaction is carried out in a stirred batch reactor.
This reaction is run according to the stoichiometry
The equation for the reaction rate is:
r = k CA CB
where
r is reaction rate, moles of A/(Lsec);
k is reaction rate constant, L/(molesec);
CA is concentration of reactant A, mole/L;
CB is concentration of reactant B, mole/L.
A + B C
54
Problem description:
The reaction rate constant is a function of the system temperature and is given by
k = k0 e -E/RT
where
k0 is Arrhenius constant, L/(molesec);
E is energy of activation, kJ/mole;
R is gas law constant, J/(moleK);
T is absolute temperature, K.
55
Geometrical Data Tank
• The reactor is a flat-bottomed tank made of stainless steel AISI 302, with a flat cover.
• Tank diameter is 2 m, and tank height is 2.95 m. The volume of media inside the reactor is 7.6 m3.
• Tank wall thickness is 8 mm, there is no fouling.
• The tank has no baffles,
Impeller
• 3-stage Lightnin A310.
• Tip diameter is 900 mm, distance between the stages is 500 mm, distance from bottom is 300 mm, RPM number is 120, and the motor power is 3000 W.
Jacket
• The reactor is insulated on top and bottom, and its cylindrical section is partly jacketed.
• The jacket is of a conventional type, extending from the bottom of the reactor to 0.15 m from the top.
56
Chemical and Operational Data Chemical data and conditions
• The initial temperature inside the reactor is 20C.
• Reactants A and B have the same initial concentration of 5 g-mole/L.
• The maximum allowable temperature of the reactor is equal to the media vapor saturation temperature (143C). The corresponding maximum working pressure of the reactor is 4 bar.
• Heat effect of reaction is 90 kJ / mole, energy of activation is 125.5 kJ / mole and Arrhenius constant is
1E+17 l /(molesec).
Process
The actual process is performed in two stages: 1.- initial heating which starts the reaction, 2.- subsequent cooling required for removing excessive heat. •The heating is with steam at atmospheric pressure supplied into the jacket, and the cooling is with ordinary water circulated through the jacket •The average temperature of the cooling water is 20C, and its flow rate is 40 m3/h, which corresponds to the in-jacket water velocity of about 0.035m/s. •The properties of the reacting mixture are identical to those of ordinary service water.
57
Solution Stages • To evaluate the suitability of the equipment, it is
recommended first to check a number of important general parameters, such as Mixing power, Vortex parameters and Macromixing time.
• Then progressing to simulate the reaction to determine the process time before the start of a runaway regime, and make sure that efficient mixing is achieved.
• Then proceeding to analyze the cooling stage, and check whether the process safety is ensured.
• It is convenient to create a separate project for each of the two process stages: heating and cooling.
58
Results • The runaway regime is approached almost at the
end of the reaction, when the reactant concentration is dramatically falling down, in about 6 minutes from the start of the process.
• This time is more than twenty times higher than the Macromixing time (30.4 sec). This corresponds to the basic requirement for the efficient mixing, and your reactor, therefore, may be considered as well stirred.
59
• It is recommended to start the cooling before your process approaches the runaway regime, i.e. about 6 minutes from the start of the process.
• At this moment the steam supply stops, the cooling water fills the jacket, and the second (cooling) stage starts.
• The results of the heating stage will thus serve as the initial data for the cooling stage of the simulation.
• Therefore, you should note the values of temperature and reactant concentration corresponding to 6 minutes from the start of the process. The desired values are 40C and 4.75 mole/liter (for both reactants).
Cooling
60
Results
• These results show that this scenario, ensuring greater process safety, is at the same time capable of completing the reaction. The duration of the cooling stage is now about 5 minutes, and the total reaction time is about 10 minutes.
• You have thus confirmed the suitability of your equipment to your exothermal process, and found an optimal process regime.
61
Conclusion
• Heat Transfer in stirred vessels is a function of hydrodynamic of the system.
• Energy of dissipation is an important parameter for Process safety evaluation.
62
High Shear Rate at Chemical Fast Reactions
63
Process and Quality Problem
Process R-6826
Feed R-Cl R-NH2 + R’-Cl t-D-R-R’
Impurity
t-L-R-R’
64
Impurity results at laboratory and in production
System volume Impeller type RPM impurity]%[
Laboratory reactor 0.63 lit
rotor stator 15,000 rpm 0%
3-blade
1,500 rpm 0.3%
800 rpm 0.6%
100 rpm 1.5%
Production
R-6826 2,978 lit
bottom – flat blade
up - turbofoil 140 rpm 0.3% - 0.6%
Correlation between shear rates and
the impurity concentration 65
R’- Cl (liquid)
R- NH2
Working with Rotor Stator at Laboratory Scale
Problem
How to scale up ?
Potential Saving :
MORE than 250 K$
66
Rotor Stator Technology
67
Calculating shear forces with VisiMix
The required shear rate can not be achieved in the production reactor
Lab impeller Rotor stator R-6826
system Impeller type RPM impurity]%[ Turbulent shear rate
[1/s]
Laboratory reactor
rotor stator 15,000 rpm 0% 780,000
3-blade
1,500 rpm 0.3% 32,900
800 rpm 0.6% 12,900
100 rpm 1.5% 580
R-6826 bottom – flat blade
up - turbofoil 140 rpm 0.3% - 0.6% 15,200
68
69
VisiMix Products
70
VisiMix Products
The latest VisiMix products are:
• VisiMix 2K8 Turbulent
• VisiMix 2K8 Laminar
• VisiMix 2K8 Different Impellers
• VisiXcel- Data Base
• Pipe Line
• Rotor Stator Disperser – RSD
NEW!
71
VisiMix 2K8 Turbulent –
For low-viscosity liquids and multiphase systems. The program
provides process parameters necessary for analysis, scaling-up
and optimization of mixing tanks and reactors with all types of
impellers Calculations of:
Blending
Suspension
Dissolution
Emulsification
Gas dispersion
Heat transfer
Chemical reactions
Mechanical stability of shafts
72
VisiMix 2K8 Laminar –
for highly viscous media
• pastes
• creams
• shampoos
• liquid soaps
• gels
• ointments
• paints:
• coatings
• slurries
• polymer solutions
Newtonian and non-Newtonian
Macro-scale blending
Micromixing in high-shear areas
Heat transfer
73
VisiMix 2K8 Different Impellers
for combined mixing devices
The program handles mixing devices consisting of any 2 – 5
impellers.
Different distances between impellers
Used in combination with VisiMix Turbulent.
Provides parameters of hydrodynamics, turbulence and heat
transfer.
74
VisiMix VisiXcel – Data Base (DB)
– automatic conversion tool: Visimix Output to Excel Spreadsheet
•Integrates VisiMix report parameters in standard Excel worksheets
•Analysis VisiMix results in Excel
•Builds a Database of mixing tanks and reactors.
•Builds a Database of projects - for processes
•Makes correlation between plant equipment nomenclature to VisiMix
database of mixing tanks and reactors in VisiMix Project Database.
•Easy access to design data of the mixing tanks, to process
parameters and to corresponding results of VisiMix modelling.
•Results of VisiMix mathematical modelling in the VisiMix VisiXcel-DB
and arrange the data according to the reactor nomenclature.
• Easy access to recalculation of the VisiMix modelling from the
Database of the reactors & the projects
75
VisiMix Pipe-Line
• Calculates hydraulic resistance of simple pipelines for liquid
viscosity and non-Newtonian products.
• Chemical engineers benefit from a quick and user friendly method
for charging times and the bottle-necks in the line.
• Includes : - Pipes - Riffled hoses – Elbows – Valves - And more
• Also comes with a database containing rheological constants for
the typical commercial non-Newtonian products - pastes, creams,
shampoos, paints, etc. (see Help Section for details)
• The first and only tool calculating flow resistance for liquids that
correspond to Carreau rheological model. (See Help Section for
details)
76
VisiMix RSD (Rotor Stator Disperser)
The revolutionary new VisiMix RSD - Rotor Stator Disperser software is the first product of its kind that provides support for mixing devices for media subjected to high sheer stress: Based on 3 years dedicated research in a lab with dedicated equipment Works with all types of media - both high and low viscosity liquids, Newtonian and Non-Newtonian. Input geometrical data and process parameters and obtain fast and reliable results with one click VisiMix RSD enables you to quickly calculate · Shear rates and stresses in internal spaces · Pumping capacities · Power consumption and torque
NEW!
77
VisiMix Orientation
The VisiMix Demonstration Tools:
VisiMix Demonstration Tools
VisiMix Turbulent – Examples & User Guide
VisiMix Laminar - Examples & User Guide
VisiMix Different Impellers – Examples & User Guide
VisiMix RSD– Examples & User Guide
VisiMix Turbulent SV – Trial & Education
VisiMix Review of Mathematical Models
Selected Verification Examples
The Comparison between Published Experimental Data and
VisiMix Calculations
http://www.visimix.com
78
Conclusion Using VisiMix Products support you can
understand better your processes
Reduce dramatically your Scaling up processes and Scaling down
Save a huge amount of Time & Money ($1,000,000 +)
The VisiMix Products are friendly and easy to use with very quick results.
The VisiMix results are based on a systematic and seriously experimental checking – and found very reliable.
VisiMix Projects Parameters and Data Base allows you to share and transfer the data with colleagues in the company.
79
80
If You Are Interested In Learning More
• India:
– Please call Dinesh Malviya at +91 9321024445
– e-mail Dinesh at [email protected]
• Mexico:
– Please call Ing. Vicente Cortes at +52 5555273838
– e-mail Ing. Cortez at [email protected]
• Colombia
― Please call Leonardo Rodriguez +57 315 305 950
― e-mail [email protected]
If You Are Interested In Learning More
• VisiMix
– Spain and South America
• Aura Portman +972 547449423
• e-mail [email protected]
– Rest of the World
• Marcie Forrest +972-2-587-0123
• e-mail [email protected]
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Thank you for your attention
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