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IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE)
e-ISSN: 2278-1684,p-ISSN: 2320-334X, Volume 12, Issue 4 Ver. V (Jul. - Aug. 2015), PP 01-03
www.iosrjournals.org
DOI: 10.9790/1684-12450103 www.iosrjournals.org 1 | Page
Process parameters optimization for HDPE material in Extrusion
Blown Film Machinery using Taguchi method
1
Dharmendra Kumar (M. Tech Scholar), 2
Sunil Kumar (Asst. Professor)
(Mechanical Engineering Department, Samalkha Group of Institution affiliated to Kurukshetra University
Kurukshetra, Haryana, India)
Abstract: Taguchi Method is a statistical approach to optimize the process parameters and improve the
quality of components that are manufactured. The objective of this study is to illustrate the procedure adopted in
using Taguchi Method to a Extrusion blown film machinery. The orthogonal array, signal-to-noise ratio is
employed to study the performance characteristics on tensile strength; a greater S/N ratio corresponds to better
quality characteristics. Therefore, the optimum level of the process parameters is the level with the greatest S/N
ratio. In this analysis; four factors namely melting temperature, extrusion speed, extrusion pressure and
winding speed were considered. Accordingly, a suitable orthogonal array was selected and experiments were
conducted. After conducting the experiments the tensile strength was measured and Signal to Noise ratio was
calculated. With the help of graph and table, optimum parameter values were obtained.
Keywords: orthogonal array, optimize, process parameter signal-to-noise ratio, tensile strength.
I. Introduction
Blown film extrusion is one of the most widely used thin-gauge fabrication processes. The majority of
the plastic films such as grocery bags, agricultural films and other flexible packaging films are produced by this
technique. The method of producing film by extruding molten plastic is a simple process. The blown film line
consists of an extruder, die, iris or bubble cage, air ring, collapsing frame, and a winder. It is one of the most
important polymer processing technologies. Several billion pounds of polymer, mostly polyethylene, are
processed annually by this technique. While some applications for blown film are quite complex, such as
scientific balloons, the maximum products manufactured on blown film equipments are used in commodity
applications with lower profit margins: grocery sacks, garbage bags, and flexible packaging. For optimization,
we used the Taguchi technique, which is optimization power tool for the design of quality system. It introduced
an integrated that is simple and efficient to find the optimum range of design for quality performance and
computational cost[1] Taguchi’s philosophy is an efficient tool for design of high quality manufacturing system,
which has been developed based on orthogonal array experiments, which provide much reduced variance for
experiment with optimum setting of process control parameters[2].The signal to noise ratio is simple quality
indicator that researchers and designers can use to evaluate the effects of changing a particular design parameter
on performance of the products.[3] Taguchi methods use a special design orthogonal array to study the entire
factor with only a small number of experiments[4]. It introduces an integrated approach that is simple and
efficient to find the designs for quality, performance and computational cost[5]. In product or process design of
Taguchi method, there are three steps-
i) System design: selection of system for given objective function.
ii) Parameter design: selection of optimum levels of parameter
iii) Tolerance design: determination of tolerance around each parameter level [6].
Taguchi method uses the signal-to-noise (S/N) ratio instead of average value of the experimental data.
The S/N ratio reflects both the average and the variation of the quality characteristics [7]. The S/N ratio is a
measure of performance aimed at developing products and processes insensitive to noise factors. The standard
S/N ratio used is as follows: Nominal is best (NB), lower the better (LB) and higher the better (HB) [8]. In this
study higher value of tensile strength is expected. Thus S/N ratio characteristics the higher – the- better is
applied. This technique is helpful to study effect of various process parameters (variables) on the desired quality
and productivity in a most economical manner. By analyzing the effect of various process parameters on the
results, the best factor combination taken [9]. Taguchi designs of experiments using specially designed tables
known as “orthogonal array”. With the help of these experiments table the design of experiments become the
use of these tables makes the design of experiments very easy and consistent [10].
Process parameters optimization for HDPE material in Extrusion Blown Film Machinery ….
DOI: 10.9790/1684-12450103 www.iosrjournals.org 2 | Page
II. Process Parameters
Effective extrusion process requires that the machine and tool operating in well conditions. This
requires control over the process parameters such as temperature, pressure, machine speed, and the relative
speeds of the auxiliary [11]. As these manufacturing processes involve steady state conditions, any action that
can stabilize any parameter or condition is beneficial to the process [12]. Cycle time reduction has been also
done successfully by considering proper selection of process parameters[13].These parameters have significant
effects on microstructure, extrude quality, material flow behavior and strength of the extrude. So these
parameters need to be analyzed and according to this modeled the extrude product [14]. Proper selections of all
the process parameter put direct impact on the quality and productivity of the plastic product so by considering
all these factors some important process parameters like Melting temperature, Extrusion pressure, Winding
speed and Extruder speed are selected and for conducting the experiments some set of definite values of all the
process parameters are taken in the Table-1. The values of process parameters are taken by the proper discussion
with the industry and CIPET (Central Institute of Plastic Engineering & Technology) personals. After
confirming about the significance of all the process parameters the values of the process parameters are listed as
a table.
S.NO. Process Parameters Units Level 1 Level 2 Level 3
1 Extrusion pressure (A) MPa 100 140 180
2 Melting Temperature (B) °C 160 180 200
3 Winder speed(C) Rpm 20 30 40
4 Extruder speed(D) Rpm 50 75 100
Table-1: Selected values of process parameters
III. Experimentation
After selection of definite values of the process parameter L9 orthogonal array has been selected
depending upon the total degrees of freedom for the parameters. Experiments were carried out on KONARK
Extrusion blown film machine.
Fig: 1 KONARK Extrusion blown film machine
For conducting the experiments the setting of the process parameters has been done as per the given values in
Table-1
S.N. Extrusion
pressure(A)
(Mpa)
Melting
Temperature(B)
(°C)
Winder
speed(C)
(rpm)
Extruder
Speed(D)
(rpm)
T.S.
Trial1
(Mpa)
T.S.
Trial2
(Mpa)
T.S
Trial3
(Mpa)
Tensile Strength (E)
(Mean)
(Mpa)
S/N Ratio
1 100 160 20 50 25 28 29 27.33 28.6811
2 100 180 30 75 32 31 28 30.33 29.5957
3 100 200 40 100 31 32 31 31.33 29.9172
4 140 160 30 100 28 30 27 28.33 29.0212
5 140 180 40 50 28 32 32 30.67 29.6810
6 140 200 20 75 34 34 33 33.67 30.5414
7 180 160 40 75 34 32 31 32.33 30.1740
8 180 180 20 100 32 31 30 31.00 29.8182
9 180 200 30 50 32 30 32 31.33 29.9080
TABLE-2: Experimental result for Tensile strength and S/N Ratio
Process parameters optimization for HDPE material in Extrusion Blown Film Machinery ….
DOI: 10.9790/1684-12450103 www.iosrjournals.org 3 | Page
TABLE-3: Response Table for S/N Ratio
Here in the Table -1 nine set of experiment has been designed for selected process parameters like Extrusion
pressure (A), Melting temperature (B), Winder speed (C) and Extruder speed (D) as per the Taguchi L9
orthogonal array design system, for optimization of process parameters Tensile Strength (T.S.) is considered as
a result parameter and hence it is measured and signal to noise ratio has been calculated for all the nine
experiments and Main effects plot for S/N Ratios are drawn with the help of MINITAB 17 software.
180140100
30.2
30.0
29.8
29.6
29.4
200180160
1007550
30.2
30.0
29.8
29.6
29.4
403020
A
MeanofSNratios
B
C D
Main Effects Plot for SN ratios
Data Means
Signal-to-noise: Larger is better
Graph 1: Main effects plot for S/N Ratios
IV. Conclusion
The response table of the S/N ratio is given in table 3, and the best set of combination parameter can be
determined by selecting the level with highest value for each factor. As a result, the optimal process parameter
combination for HDPE is A3, B3, C3, D2.The difference value given in table 3 denotes which factor is the most
significant for Tensile strength of HDPE, Melting Temperature (B) is found most effective factor for HDPE
followed by Extrusion speed (D) Extrusion pressure (A) and Winding speed (C).
References
[1]. Asrat Mekonnen, International Journal of Science, Engineering and Technology Research (IJSETR) Volume 2, Issue 1, January 2013
[2]. Datta, Saurav; & Bandyopadhyay, Asish,& Pal Pradip Kumar-(2008), Grey based taguchi method for optimization of bead geometry in
submerged arc beadon- plate welding, International Journal of Advance Manufacturing Technology,33,pp1136-1143.
[3]. Fowlkes WY, Creveling CM. Engineering methods for robust product design, using Taguchi methods in technology and product
development. Addison-Wesley Publication, 1995
[4]. Deng, Chyn-Shu,Chin,Jih-Hua, Hole roundness in deep hole drilling as analyzed by Taguchi method, International Journal of Advance
Manufacturing Technology, pp420-426.
[5]. Taguchi G, Konishi S. Taguchi methods, orthogonal arrays and linear graphs, tool for quality, American supplier Institute;1987, pp8-35.
[6]. TaguchiG, Chowdhary S, Yuin W, 2005. Taguchi’s quality engineering handbook, Livonia, Michigan; John Wiley & Sons, Inc.
[7]. Ross PJ. Taguchi techniques for quality engineering, McGraw Hill, 1996
[8]. P.Postawa and J.k.Koszkul,” Change in injection molding parts shrinkage a function of processing conditions”, Journal of Materials
Processing Technology, vol.162-163, pp.109-115, 2005.
[9]. Roy, R.K., 2001, “Design of Experiments using The Taguchi Approach:16 Steps to Product and Process Improvement”. John Wiley &
Sons,Inc.
[10]. R.K., 1990, “A Primer on the Taguchi method”. Competitive Manufacturing Series, Van Nostrand Reinhold,NewYork.
[11]. Second Edition PP Extrusion Technology handbook, Sidney levy and James F. carley, Editor,
[12]. Society of plastic engineers, Paul Hendess, the Plastic Extrusion Process for Tube, Hose, Pipe & Rod.
[13]. Aditya M. Darekar, “2015Review of Optimization Aspects for Plastic Injection Molding Process” IRACST – Engineering Science and
Technology: An International Journal (ESTIJ), ISSN: 2250-3498 ,Vol.5, No.1, February 2015.
[14]. Mitul J. Barot, “Review onFinite Element Analysis and Optimization of PVC Window Profile” IJETSR, International Journal of
Engineering Technology Science and Research,ISSN 2394 –3386,Volume 2 Issue 1January 2015.
Level Extrusion pressure(A)
(Mpa)
Melting Temperature (B)
(°C)
Winder speed(C)
(rpm)
Extruder speed(D)
(rpm)
1 29.40 29.29 29.68 29.42
2 29.75 29.70 29.51 30.10
3 29.97 30.12 29.92 29.59
Delta 0.57 0.83 0.42 0.68
Rank 3 1 4 2

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A012450103

  • 1. IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-ISSN: 2278-1684,p-ISSN: 2320-334X, Volume 12, Issue 4 Ver. V (Jul. - Aug. 2015), PP 01-03 www.iosrjournals.org DOI: 10.9790/1684-12450103 www.iosrjournals.org 1 | Page Process parameters optimization for HDPE material in Extrusion Blown Film Machinery using Taguchi method 1 Dharmendra Kumar (M. Tech Scholar), 2 Sunil Kumar (Asst. Professor) (Mechanical Engineering Department, Samalkha Group of Institution affiliated to Kurukshetra University Kurukshetra, Haryana, India) Abstract: Taguchi Method is a statistical approach to optimize the process parameters and improve the quality of components that are manufactured. The objective of this study is to illustrate the procedure adopted in using Taguchi Method to a Extrusion blown film machinery. The orthogonal array, signal-to-noise ratio is employed to study the performance characteristics on tensile strength; a greater S/N ratio corresponds to better quality characteristics. Therefore, the optimum level of the process parameters is the level with the greatest S/N ratio. In this analysis; four factors namely melting temperature, extrusion speed, extrusion pressure and winding speed were considered. Accordingly, a suitable orthogonal array was selected and experiments were conducted. After conducting the experiments the tensile strength was measured and Signal to Noise ratio was calculated. With the help of graph and table, optimum parameter values were obtained. Keywords: orthogonal array, optimize, process parameter signal-to-noise ratio, tensile strength. I. Introduction Blown film extrusion is one of the most widely used thin-gauge fabrication processes. The majority of the plastic films such as grocery bags, agricultural films and other flexible packaging films are produced by this technique. The method of producing film by extruding molten plastic is a simple process. The blown film line consists of an extruder, die, iris or bubble cage, air ring, collapsing frame, and a winder. It is one of the most important polymer processing technologies. Several billion pounds of polymer, mostly polyethylene, are processed annually by this technique. While some applications for blown film are quite complex, such as scientific balloons, the maximum products manufactured on blown film equipments are used in commodity applications with lower profit margins: grocery sacks, garbage bags, and flexible packaging. For optimization, we used the Taguchi technique, which is optimization power tool for the design of quality system. It introduced an integrated that is simple and efficient to find the optimum range of design for quality performance and computational cost[1] Taguchi’s philosophy is an efficient tool for design of high quality manufacturing system, which has been developed based on orthogonal array experiments, which provide much reduced variance for experiment with optimum setting of process control parameters[2].The signal to noise ratio is simple quality indicator that researchers and designers can use to evaluate the effects of changing a particular design parameter on performance of the products.[3] Taguchi methods use a special design orthogonal array to study the entire factor with only a small number of experiments[4]. It introduces an integrated approach that is simple and efficient to find the designs for quality, performance and computational cost[5]. In product or process design of Taguchi method, there are three steps- i) System design: selection of system for given objective function. ii) Parameter design: selection of optimum levels of parameter iii) Tolerance design: determination of tolerance around each parameter level [6]. Taguchi method uses the signal-to-noise (S/N) ratio instead of average value of the experimental data. The S/N ratio reflects both the average and the variation of the quality characteristics [7]. The S/N ratio is a measure of performance aimed at developing products and processes insensitive to noise factors. The standard S/N ratio used is as follows: Nominal is best (NB), lower the better (LB) and higher the better (HB) [8]. In this study higher value of tensile strength is expected. Thus S/N ratio characteristics the higher – the- better is applied. This technique is helpful to study effect of various process parameters (variables) on the desired quality and productivity in a most economical manner. By analyzing the effect of various process parameters on the results, the best factor combination taken [9]. Taguchi designs of experiments using specially designed tables known as “orthogonal array”. With the help of these experiments table the design of experiments become the use of these tables makes the design of experiments very easy and consistent [10].
  • 2. Process parameters optimization for HDPE material in Extrusion Blown Film Machinery …. DOI: 10.9790/1684-12450103 www.iosrjournals.org 2 | Page II. Process Parameters Effective extrusion process requires that the machine and tool operating in well conditions. This requires control over the process parameters such as temperature, pressure, machine speed, and the relative speeds of the auxiliary [11]. As these manufacturing processes involve steady state conditions, any action that can stabilize any parameter or condition is beneficial to the process [12]. Cycle time reduction has been also done successfully by considering proper selection of process parameters[13].These parameters have significant effects on microstructure, extrude quality, material flow behavior and strength of the extrude. So these parameters need to be analyzed and according to this modeled the extrude product [14]. Proper selections of all the process parameter put direct impact on the quality and productivity of the plastic product so by considering all these factors some important process parameters like Melting temperature, Extrusion pressure, Winding speed and Extruder speed are selected and for conducting the experiments some set of definite values of all the process parameters are taken in the Table-1. The values of process parameters are taken by the proper discussion with the industry and CIPET (Central Institute of Plastic Engineering & Technology) personals. After confirming about the significance of all the process parameters the values of the process parameters are listed as a table. S.NO. Process Parameters Units Level 1 Level 2 Level 3 1 Extrusion pressure (A) MPa 100 140 180 2 Melting Temperature (B) °C 160 180 200 3 Winder speed(C) Rpm 20 30 40 4 Extruder speed(D) Rpm 50 75 100 Table-1: Selected values of process parameters III. Experimentation After selection of definite values of the process parameter L9 orthogonal array has been selected depending upon the total degrees of freedom for the parameters. Experiments were carried out on KONARK Extrusion blown film machine. Fig: 1 KONARK Extrusion blown film machine For conducting the experiments the setting of the process parameters has been done as per the given values in Table-1 S.N. Extrusion pressure(A) (Mpa) Melting Temperature(B) (°C) Winder speed(C) (rpm) Extruder Speed(D) (rpm) T.S. Trial1 (Mpa) T.S. Trial2 (Mpa) T.S Trial3 (Mpa) Tensile Strength (E) (Mean) (Mpa) S/N Ratio 1 100 160 20 50 25 28 29 27.33 28.6811 2 100 180 30 75 32 31 28 30.33 29.5957 3 100 200 40 100 31 32 31 31.33 29.9172 4 140 160 30 100 28 30 27 28.33 29.0212 5 140 180 40 50 28 32 32 30.67 29.6810 6 140 200 20 75 34 34 33 33.67 30.5414 7 180 160 40 75 34 32 31 32.33 30.1740 8 180 180 20 100 32 31 30 31.00 29.8182 9 180 200 30 50 32 30 32 31.33 29.9080 TABLE-2: Experimental result for Tensile strength and S/N Ratio
  • 3. Process parameters optimization for HDPE material in Extrusion Blown Film Machinery …. DOI: 10.9790/1684-12450103 www.iosrjournals.org 3 | Page TABLE-3: Response Table for S/N Ratio Here in the Table -1 nine set of experiment has been designed for selected process parameters like Extrusion pressure (A), Melting temperature (B), Winder speed (C) and Extruder speed (D) as per the Taguchi L9 orthogonal array design system, for optimization of process parameters Tensile Strength (T.S.) is considered as a result parameter and hence it is measured and signal to noise ratio has been calculated for all the nine experiments and Main effects plot for S/N Ratios are drawn with the help of MINITAB 17 software. 180140100 30.2 30.0 29.8 29.6 29.4 200180160 1007550 30.2 30.0 29.8 29.6 29.4 403020 A MeanofSNratios B C D Main Effects Plot for SN ratios Data Means Signal-to-noise: Larger is better Graph 1: Main effects plot for S/N Ratios IV. Conclusion The response table of the S/N ratio is given in table 3, and the best set of combination parameter can be determined by selecting the level with highest value for each factor. As a result, the optimal process parameter combination for HDPE is A3, B3, C3, D2.The difference value given in table 3 denotes which factor is the most significant for Tensile strength of HDPE, Melting Temperature (B) is found most effective factor for HDPE followed by Extrusion speed (D) Extrusion pressure (A) and Winding speed (C). References [1]. Asrat Mekonnen, International Journal of Science, Engineering and Technology Research (IJSETR) Volume 2, Issue 1, January 2013 [2]. Datta, Saurav; & Bandyopadhyay, Asish,& Pal Pradip Kumar-(2008), Grey based taguchi method for optimization of bead geometry in submerged arc beadon- plate welding, International Journal of Advance Manufacturing Technology,33,pp1136-1143. [3]. Fowlkes WY, Creveling CM. Engineering methods for robust product design, using Taguchi methods in technology and product development. Addison-Wesley Publication, 1995 [4]. Deng, Chyn-Shu,Chin,Jih-Hua, Hole roundness in deep hole drilling as analyzed by Taguchi method, International Journal of Advance Manufacturing Technology, pp420-426. [5]. Taguchi G, Konishi S. Taguchi methods, orthogonal arrays and linear graphs, tool for quality, American supplier Institute;1987, pp8-35. [6]. TaguchiG, Chowdhary S, Yuin W, 2005. Taguchi’s quality engineering handbook, Livonia, Michigan; John Wiley & Sons, Inc. [7]. Ross PJ. Taguchi techniques for quality engineering, McGraw Hill, 1996 [8]. P.Postawa and J.k.Koszkul,” Change in injection molding parts shrinkage a function of processing conditions”, Journal of Materials Processing Technology, vol.162-163, pp.109-115, 2005. [9]. Roy, R.K., 2001, “Design of Experiments using The Taguchi Approach:16 Steps to Product and Process Improvement”. John Wiley & Sons,Inc. [10]. R.K., 1990, “A Primer on the Taguchi method”. Competitive Manufacturing Series, Van Nostrand Reinhold,NewYork. [11]. Second Edition PP Extrusion Technology handbook, Sidney levy and James F. carley, Editor, [12]. Society of plastic engineers, Paul Hendess, the Plastic Extrusion Process for Tube, Hose, Pipe & Rod. [13]. Aditya M. Darekar, “2015Review of Optimization Aspects for Plastic Injection Molding Process” IRACST – Engineering Science and Technology: An International Journal (ESTIJ), ISSN: 2250-3498 ,Vol.5, No.1, February 2015. [14]. Mitul J. Barot, “Review onFinite Element Analysis and Optimization of PVC Window Profile” IJETSR, International Journal of Engineering Technology Science and Research,ISSN 2394 –3386,Volume 2 Issue 1January 2015. Level Extrusion pressure(A) (Mpa) Melting Temperature (B) (°C) Winder speed(C) (rpm) Extruder speed(D) (rpm) 1 29.40 29.29 29.68 29.42 2 29.75 29.70 29.51 30.10 3 29.97 30.12 29.92 29.59 Delta 0.57 0.83 0.42 0.68 Rank 3 1 4 2