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Energy consumption, an possible factor in the
assessment of surface drills quality at beech
wood
Simona-Maria Barbu, Loredana Anne-Marie Badescu
Department of Machines for Wood Industry,
Transilvania University of Brasov,
Jud. Brasov, B-ul Eroilor nr. 29
ROMANIA
[email protected], [email protected]
Abstract - The paper present a new data basis regarding the evolution of the energy consumption to drilling
process at the beech species and the method of determination for this parameter. The analyses of the data
basis show the energy dependence of the quality achieved after drilling process. This dependence
has resulted in a mathematical model regarding the quality evaluation for this process. The researches
represent the results of the project PNII-ID-146/2007 and a chapter from the thesis of PhD student author.
Key-words: - quality, drilling, energy, wood
I. PROBLEM FORMULATION
Power absorbed in the process of drilling wood varies on
hole length processed, sometimes significantly. Following
surface quality obtained is found that and it varies on the
depth, but and on the hole radius. Starting from these
observations, the authors of this paper started to deepen the
researches which led to finding a relationship of dependence
of surface quality parameters obtained on hole length at
drilling wood according to active power, respectively
energy consumption. The research is based on analysis and
processing of data from database obtained after registration
power values and of roughness parameters Rz, Ra and RQ
which characterizing surfaces processed with different
cutting conditions in different sections of beech wood. To
achieve drill holes were used carbide tipped drill with
carbide metals wich have diameters of 8, 10 and 12 mm.
For the analysis has been discussed only cutting with drills
of 8 mm considering that they are used in a higher
percentage.
II. THE EXPERIMENT
A Measuring the power absorbed in the drilling beech wood
process and calculation of consumption of energy.
A.1 . Equipment and materials
Test bench consists of: FUS-22 milling machine, three-
phase transducer active power type 3TPT-79-63215,
MAVOWATT 4 watt, 10 PCS data acquisition board with
Velleman PC connection. (Fig.1, Fig.4)
Transducer (electronic) makes converting active power
absorbed in the circuit of three phase electric motor in a
signal of variation in the voltage 0-10V, which apply at
enter of converter digital analog, 1% accuracy class.
Fig.1 Acquisition board model Velleman K8047 wattmeter
MAVOWATT 4
Within experiments was used a helical drill (Fig. 2)
plated with CMS with cylindrical shaft flattened Ф8 mm
diameter, with two channels, the top angle 2к = 60o and
angle of inclination of the propeller ω = 13o.
Fig. 2 Helical drill
Beech timber specimens with 8-12% humidity, were
cut to size L x l x g=195x 40 x 37 [mm × mm × mm] in
longitudinal section, transverse and radial. (Fig. 3)
Proceedings of the International Conference on Urban Sustainability, Cultural Sustainability, Green Development Green Structures and Clean Cars
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Fig.3 Shape and size of samples
A.2. Method of measuring
Parameters of system of drilling used in experimental
model are: speed of 220 rpm, cutting speed 0.92 m / s and
feed rate u1 = 160 and u2= 250 mm / min at a diameter of 8
mm with deep drilling of 30 mm (tuned to the MU used).
Since the actual ratio of drilling resulting from industrial
practice (v / u) is between 30-40, depending on the actual
cutting speed, it must keep this report and in case the
experimental model. Verification is made introducing in the
relationship v / u experimental values for v and u. After
replacement and transform result an experimental report v /
u = Π • D • n / u = 34.85. Is observed that the value of
experimental ratio is in the range of real values, so is
corresponding to working regim from production
practice.For experimental ratio obtained is will calculated
real speed which is equivalent to the 4173.96 rot/min,
cutting speed real is equal with 1.75 m/s and real feed rate
of 3 m/min respectively 4 m/min. After checking its
veracity working parameters we passed to make holes. On
each samples cut in cross section - radial, transversal -
tangential and longitudinal - tangential were made five
holes. Data recording was done automatically by computer
through acquisition card used. The results were saved in txt
files, this simultaneously generating the power graphs.
Fig.4. Stand for determining the power absorbed at
drilling wood.
B Determining the surface quality at drilling of beech.
B.1 Equipment
Test stand for determining the parameters roughness at
surface processed through drilling wood consists of the
following equipment:
Roughness type SJ-201 produced by Mitutoyo with PC
connection with the area measuring of 350 µm (-200 µm to
150 µm); PC; Software Surftest SJ-201P ver. 3.20 for data
acquisition and data filtering and Kennon Height Gauge.
(Fig.5 )
Fig.5 Stand for determining surface quality obtained
through drilling through measuring parameters Rz, Ra and
the roughness Rq.
Positioning and fixing on vertical of electronic roughness
was done with a height gauge with measurement range by
0-300 mm and 0.01 mm accuracy, equipped with a
mechanism for raising and lowering device at the desired
height. The device has been amended to mounting head
detector of electronic roughness, preserving the accuracy of
0.01.
B 2. Method of measuring
Measuring roughness surface obtained at drilling beech
wood for each hole was made in 8 points, through rotating
the samples with a period T = 45 °. (Fig.6 )
Fig. 6 Scheme (the priciple) to measure roughness surface
inner of holes
For roughness measurements were meets the requirements
of ISO 97. Among the parameters defined by ISO 4287
were selected for analysis Ra Rz, Rq. Wavelength was
chosen l = 0.8 mm; length of assessment contains five base
lengths of the n = 5; filter PC 50 (Gaussian).
In Fig.7 is presented the scheme of measured profile of
roughness .
Fig.7 The scheme for measuring profile of roughness.
This was obtained after using automatic filtering of data
with filter PC 50 (Gaussian) content of software used.
Measurements were centralized in databases that were then
processed and the results were interpreted obtaining
important information that helped to elucidate the matter
investigated.
III. RESULTS AND DISCUSSION
A Results and discussion on measuring the power absorbed
5
6
7
1
8
4 2
3
Proceedings of the International Conference on Urban Sustainability, Cultural Sustainability, Green Development Green Structures and Clean Cars
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Active power and load were measured with active
power transducer and recorded using data acquisition board
Velleman.
Since the output signal was a voltage in the range of 0-
10 V, was needed measuring active power with a watt meter
and establish a factor correction between this value of
tension and power by relationship:
ic VPf /= (1)
where: P is active power, in kW, Vi - value of output signal
(voltage), in V, iar fc – factor of correlation.
The data were statistically processed using Excel. Some
databases obtained are shown in figures 8, 9 and 10 for
power and 12, 13 and 14 for roughness parameters.
a
b
Fig.8 Variation of power and energy consumption obtained
at beech wood drilling.
a.longitudinal-tangential, n=220 rot/min, u1=160mm/min ;
b.longitudinal-tangential, n=220 rot/min u2=250 mm/min
a b
Fig.9 Variation of power and energy consumption obtained
at beech wood drilling.
a. transversal-radial, n=220 rot/min, u1=160mm/min
b. transversal-radial, n=220 rot/min u2=250 mm/min
a b
Fig.10. Variation of power and energy consumption
obtained at beech wood drilling.
a. transversal-tangential, n=220 rot/min,
u1=160mm/min
b. transversal-tangetial, n, n=220 rot/min u2=250
mm/min
B Results and discussion at parameters roughness
measurement
Software Surftest SJ 201 for recording data allowed them
to save Excel files and view primary profiles and of profile
of roughness. (Fig.11)
Fig.11 a. Software interface Surftest SJ 201
Proceedings of the International Conference on Urban Sustainability, Cultural Sustainability, Green Development Green Structures and Clean Cars
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Fig.11 b. Viewing data in Excel
Fig.12 Primary profile and roughness profile at drilling
beech wood in transversal - radial section
n=220 rot/min, u=160 mm/min, P1
Fig. 13 Primary profile and roughness profile at drilling
beech wood in transversal-tangential section, n=220
rot/min, u=160 mm/min, P1
Fig. 14 Primary profile and roughness profile at drilling
beech wood transversal-longitudinal section, n=220 rot/min,
u=160 mm/min, P1
Fig.15. Variation roughness of surface at drilling beech
wood.
In figure 15 authors presents the averages for parameters of
the surface
IV CONCLUSIONS
Analyzing the curve of variation of the power P1 to the
beech wood drilling on transversal-radial direction with n =
220 rpm, u = 160 mm / min, while variations roughness on
the length of hole, on the same sample, can be observed that
the roughness profile have a significant variation exactly in
the variation area of the maximum power.
Fig. 16.Variation curves of power (P) and roughness (Rz) at
drilling beech wood in transversal-radial direction (n=220
rot/min, u=250 mm/min, hole 1)
This observation, which is similar for all processing is
justification of authors for the decision to find and the write
a relationship to express dependency between power and
roughness.
Thus, after processing data, the power can be expressed by a
regression equation of polynomial type of degree 6 with
dispersion coefficient of 0.8389 (R2 = 0.8389) of the form:
P = -3•10-16
x6 + 6•10
-13x
5 - 5•10
-10x
4 + 10
-07x
3 - 10
-05x
2 +
0.0001x + 0.4443
Where x represent feed speed,
P = -3•10-16
u6 + 6•10
-13u
5 - 5•10
-10u
4 + 10
-07u
3 - 10
-05u
2 +
0.0001u + 0.4443
for roughness were found three equations depending of the
feed rate which are of the form:
Proceedings of the International Conference on Urban Sustainability, Cultural Sustainability, Green Development Green Structures and Clean Cars
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Rz = 0,022x6 -0,2208x
5 – 2,3841x
4 +41,301x
3 – 196,97x
2 +
362,48x – 185,65
Coefficient of dispersion R2 = 0,9973 (measured at length
H1 in the deep hole)
Rz = 0,114x6 -2,7136x
5 +23,847x
4 -93,483x
3 + 151,65x
2 -
56,672x – 6, 6888
Coefficient of dispersion R2 = 0,8206 (measured at length
H2 in the deep hole).
Rz= 0,0482x6 -1,0722x
5 +8,2946x
4 -23,841x
3 + 1,8956x2 +
82,748x – 49,639
Coefficient of dispersion R2 = 0, 8874 (measured at length
H3 in the deep hole)
Dependence between time and length is of the form:
v=l/t where v is traversing speed of detector (v=0, 5 mm/s),
and l is the distance from which to measure roughness
(l=0,8mm). Replacing for the maximum area will result:
t=0, 8/ 0, 5 => t=1, 6 s
Time measurement of power:
If it replaced x =f(P) from first ecuation with x from second
ecuation will result a equation of form:
Result equation of dependence:
Rz=F (P)
Equation can be generalized and used to estimate the quality
of processed surface through drills depending on power
consumption.
REFERENCES:
[1]Badescu,L, (2001) Modelarea si optimizarea proceselor
prin aschierea lemnului, Ed Info-market Brasov ISBN
973-8204-07-0
[2]Badescu, L.,Barbu, S.,(2005) - Aspecte privind defectele
care apar la burghierea strapunsa a panourilor pe baza
de lemn cu burghie elicoidale si burghie cu varf de
centrare si dinti trasori, Conferinta nationala Stiinta si
ingineria lemnului in mileniul III,vol. I, Editia a VI-a,
Brasov, 4-6 noiembrie 2005, ISBN 973-635-599-3,
p.251-258.
[3]Popa, V., Contributii la dezvoltarea manipulatoarelor si
robotilor pentru industria mobilei, Teza de doctorat,
1999.
[4] SR EN ISO 11562. Specificatii Geometrice pentru
Produse. Starea suprafetei: Metoda profilului –
Caracteristici metrologice ale filtrelor cu corectie de
faza, 1999.
[5] SR ISO 4287 Specificatii Geometrice pentru Produse.
Starea suprafetei: Metoda profilului – Termeni, definitii
si parametri de stare a suprafetei.
[6]Surface roughness tester SJ-201, User’s manual,
Mitutoyo
Acknowledgement
This work was supported by CNCSIS UEFISCSU Project
number PN II- IDEI 146/2007.
Proceedings of the International Conference on Urban Sustainability, Cultural Sustainability, Green Development Green Structures and Clean Cars
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