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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 12 | Dec 2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 574
Quality Assurance in High Density Plastic Pipes Manufacturing
Process by Taguchi Approach
Ravindra Joshi1, Sanjay Goyal2
1Master of Engineering Student,Department of Mechanical Engineering, RGPV Bhopal, Madhya Pradesh, India
2HOD, Department of Mechanical Engineering, Maharana Pratap College of Technology, Gwalior (M.P.), India
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - In this article, our focus is to maximize the productivity and quality of HDPE pipe. During productionproblemslikelow
tensile strength, centering problem, eccentricity in thickness, cracks in pipe, variation in diameter was observed which results in
low productivity. Minitab 18 software was used for calculating the [S/N]Signal toNoiseRatioandTaguchioptimizationapproach
was implemented to improve the tensile strength of 90 mm HDPE pipe. The L9 orthogonal array was selected and Larger isbetter
is preferred for better result. The parameters studied were extrusion speed, melting temperature, winding speed and extrusion
pressure. The experiments were performed and tensile strength was checkedon differenttrailsandoptimumsettingwaspreferred
for production.
Key Words:- Optimisation, Design of Experiment, Taguchi Method, Tensile strength, Minitab
1. INTRODUCTION
High Density Poly-ethylene (HDPE) pipes are widely used for underground piping ,transportation of water for irrigation
purpose from one place to another place, column pipes for submersible pumps, sewerage pumping and effluent disposal
systems, lift and gravity water supply systems. Due to its flexibility, strength, large strength to density ratio, chemical
resistance, recycle ability, corrosion resistance etc. HDPE Pipe is manufactured by extrusion. The material is forced through a
desirable shape orifice, with material solidifying to produce a continuous length of constant cross section.
1.1 Major Process Parameters for Extrusion Process.
It requires controlled process parameters like pressure, temperature, feed rate of machine and relative speeds of connected
auxiliaries. Programmable logic controller panel was usedforcontrollingandmonitoringparameter.Mainparametersonwhich
the plastic pipe extrusion process depends are as follows -
a) Temperature
b) Vacuum Pressure
c) Take off Speed
d) Relative speed of auxiliaries
1.2 Methodology for the Research Work.
For the optimization of process parameters in the extrusion process following methodology is followed.
1. Selected a plastic pipe manufacturing industry.
2. Collected data for all parameters which controls product quality.
3. Analyzed these data and concluded the parameters responsible for the defects.
4. Applied the experimental design approach, Taguchi Method.
5. Analyzed the data of process parameters and achieved an optimized set of new parameters, and thencomparedthem
with previous data.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 12 | Dec 2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 575
1.3 Defects in the plastic pipe
Common defects which are observed in the plastic pipe extrusion process are caused due to these three, (a) Mold Design, (b)
Material Selection, and (c) Machining Operations. Followings are the defects found in the extruded parts.
 Low tensile strength
 Off – Center ( Centering Problem)
 Uneven Wall Thickness
 Cracks
 Diameter Variation.
It has been found that majority of defects in an extruded part occurred during machining process. These are due to the poor
understanding of processing criterion, use of machine inadequately, untrained workers, break down of machines, and the
inappropriate working environment.
Table -1: Design of Experiment
Table -2: Selected Values of Process Parameters
S No. Defect in Production
Process
Frequency Of Defects
1 Low tensile strength 800
2 Centering problem 600
3 Eccentric wall thickness 600
4 Diameter variation 600
5 Crack 102
Total 2702
S. No. Process
Parameter
Units Level 1 Level 2 Level 3
1 (A) Extrusion Pressure MPa 105 160 180
2 (B) Melting Temperature °C 165 190 260
3 (C) Winder Speed RPM 25 35 40
4 (D) Extruder Speed RPM 60 80 105
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 12 | Dec 2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 576
Table 1 : Experimental result for Tensile strength [TS1 ,TS2,TS3] and S/N Ratio
Graph 1
S.
No
Pressure
A
MPa
Temp.
B
oC
W S
C
rpm
E S
D
rpm
TS1
MPa
TS2
MPa
TS3
MPa
Signal To Noise
Ratio (S/N)
Mean
1 105 165 25 60 25.5 27.8 28.8 28.71 27.36
2 105 190 35 80 31.5 32.0 28.5 29.69 30.66
3 105 200 40 105 32.0 32.5 31.0 30.05 31.83
4 160 165 35 105 28.0 35.0 27.5 29.07 28.50
5 160 190 40 60 28.5 32.5 32.0 29.78 31.0
6 160 200 25 80 33.5 34.0 34.2 30.60 33.90
7 180 165 40 80 34.0 32.0 31.2 30.19 32.40
8 180 190 25 105 32.0 31.0 35.2 29.84 31.06
9 180 200 35 60 32.0 31.0 32.6 30.06 31.86
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 12 | Dec 2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 577
Graph 2
Formula Used
For larger is better quality characteristics ;
S/N = −10*log(Σ(1/Y2) / n )
Where
Y = mean responses for the given factor level combination
n = number of responses in the factor level combination.
Table 4 - MEAN RESPONSE TABLE
Parameters like (a) Extrusion pressure, (b) Melting temperature,(c)Extruder speed ,(d) Winder speed are focused for L9
orthogonal array and feed into the design system of minitab18software.Inthetable4responsetableoffocused parameterS/N
ratio was calculated and plotted in graph and Larger is better is preferred.
Level A B C D
1 29.96 29.42 30.78 30.08
2 31.13 30.91 30.34 32.32
3 31.78 32.53 31.74 30.47
Delta 1.82 3.11 1.40 2.24
Rank III I IV II
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 12 | Dec 2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 578
3. CONCLUSIONS
To maximize the tensile strength of HDPE pipe (control factor with highest impact on S/N ratio) was determined and from
above graph and mean response table, it was concluded that delta of B was maximum i.e 3.11,so Ist rank and C wasIVth.Proper
planning and team work is important part of productivity of plastic pipe industry and help in reduction of wastage at the
starting and stopping time of extrusion machine.
1. For crack problems, vacuum pressure, water flow rate manual setting was adjusted and cleaning of sizer with diesel
was preferred because diesel washouts the undesirable tiny particles from sizer .
2. When the axis of mandrel and die axis is not concentric, it will affect the eccentricity in thickness, diameter variation
and centric problem, so by proper alignment setting of mandrel and die problem can be solved.
3. Best quality in terms of strength is obtained when virgin material with proper mixing proportion was used.
In future, machine with machine intelligence can be used for fully automation of machine which will reduce the scrap quality
and breakdown period, so production per unit cost increases.
ACKNOWLEDGEMENT
This study is supported by Ambica Polymer Udyog, (Brand-Willsor HDPE Pipe), Morena Madhya Pradesh[India]. Authors
also extend there sincere thanks to Mechanical Department, MPCT Gwalior India for the valuable opportunity.
REFERENCES
[1] “Mr. Sandip S. Gadeka” - Analysis of Process Parameters for Optimization of Plastic Extrusion in PipeManufacturing.
[2] “Nikunj K Limbachiya” Optimization Of Twin Screw Extruder (Tse) Machine For Polyethylene Terephthalate (Pet)
Polymer Material Using Anova Methods A Review.
[3] “Hsieh, F. Peng, I.C. and Huff, H.E. (2510)”. Effects of PBT and screw speed onshruprocessingand productvariablesof
corn meal extruded with a twin–screw extruder. Journal of Food Science .
[4] Taguchi, Chowdhary S, Yuin W, 2605. Taguchi’s quality engineering handbook, Livonia, Michigan; John Wiley & Sons,
Inc.
[5] “A Harlin” Quantitative analysis of twin screw extruder performance in stabilization pelletizing of HDPE resins,
Polymer Eng. Sci.
[6] “G. V. S. S. Sharma” A Taguchi approach on optimal process control parameters for HDPE pipe extrusion process.
[7] Parameter Optimization of Extrusion Machine Producing UPVC Pipes using Taguchi Method: A Case of Amhara Pipe
Factory.
BIOGRAPHIES
Mr. Ravindra Joshi holds a
Bachelor’s Degree in Mechanical
Engineering from Indira Gandhi
Govt. Engineering College Sagar,
Madhya Pradesh, and Master of
Engineering in Mechanical
Engineering (Production and
Industrial System) from Maharana
Pratap College of Technology,
Gwalior, Madhya Pradesh [India],
Rajiv Gandhi Proudyogiki
Vishwavidyalaya, Bhopal, Madhya
Pradesh [ India ]
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 12 | Dec 2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 579
Mr. Sanjay Goyal holds a M.Tech
Degree in Mechanical Engineering
(Maintenance), Department of
Mechanical Engineering, from
Maulana Azad National Institute of
Technology, (MANIT), Bhopal,
Madhya Pradesh, India. He has
more than 16 years of Research
and Teaching experience and is
currently Associate Professor in
Mechanical Department in
Maharana Pratap College of
Technology, Gwalior, Madhya
Pradesh, [India]

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Taguchi Optimization of HDPE Pipe Manufacturing

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 12 | Dec 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 574 Quality Assurance in High Density Plastic Pipes Manufacturing Process by Taguchi Approach Ravindra Joshi1, Sanjay Goyal2 1Master of Engineering Student,Department of Mechanical Engineering, RGPV Bhopal, Madhya Pradesh, India 2HOD, Department of Mechanical Engineering, Maharana Pratap College of Technology, Gwalior (M.P.), India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - In this article, our focus is to maximize the productivity and quality of HDPE pipe. During productionproblemslikelow tensile strength, centering problem, eccentricity in thickness, cracks in pipe, variation in diameter was observed which results in low productivity. Minitab 18 software was used for calculating the [S/N]Signal toNoiseRatioandTaguchioptimizationapproach was implemented to improve the tensile strength of 90 mm HDPE pipe. The L9 orthogonal array was selected and Larger isbetter is preferred for better result. The parameters studied were extrusion speed, melting temperature, winding speed and extrusion pressure. The experiments were performed and tensile strength was checkedon differenttrailsandoptimumsettingwaspreferred for production. Key Words:- Optimisation, Design of Experiment, Taguchi Method, Tensile strength, Minitab 1. INTRODUCTION High Density Poly-ethylene (HDPE) pipes are widely used for underground piping ,transportation of water for irrigation purpose from one place to another place, column pipes for submersible pumps, sewerage pumping and effluent disposal systems, lift and gravity water supply systems. Due to its flexibility, strength, large strength to density ratio, chemical resistance, recycle ability, corrosion resistance etc. HDPE Pipe is manufactured by extrusion. The material is forced through a desirable shape orifice, with material solidifying to produce a continuous length of constant cross section. 1.1 Major Process Parameters for Extrusion Process. It requires controlled process parameters like pressure, temperature, feed rate of machine and relative speeds of connected auxiliaries. Programmable logic controller panel was usedforcontrollingandmonitoringparameter.Mainparametersonwhich the plastic pipe extrusion process depends are as follows - a) Temperature b) Vacuum Pressure c) Take off Speed d) Relative speed of auxiliaries 1.2 Methodology for the Research Work. For the optimization of process parameters in the extrusion process following methodology is followed. 1. Selected a plastic pipe manufacturing industry. 2. Collected data for all parameters which controls product quality. 3. Analyzed these data and concluded the parameters responsible for the defects. 4. Applied the experimental design approach, Taguchi Method. 5. Analyzed the data of process parameters and achieved an optimized set of new parameters, and thencomparedthem with previous data.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 12 | Dec 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 575 1.3 Defects in the plastic pipe Common defects which are observed in the plastic pipe extrusion process are caused due to these three, (a) Mold Design, (b) Material Selection, and (c) Machining Operations. Followings are the defects found in the extruded parts.  Low tensile strength  Off – Center ( Centering Problem)  Uneven Wall Thickness  Cracks  Diameter Variation. It has been found that majority of defects in an extruded part occurred during machining process. These are due to the poor understanding of processing criterion, use of machine inadequately, untrained workers, break down of machines, and the inappropriate working environment. Table -1: Design of Experiment Table -2: Selected Values of Process Parameters S No. Defect in Production Process Frequency Of Defects 1 Low tensile strength 800 2 Centering problem 600 3 Eccentric wall thickness 600 4 Diameter variation 600 5 Crack 102 Total 2702 S. No. Process Parameter Units Level 1 Level 2 Level 3 1 (A) Extrusion Pressure MPa 105 160 180 2 (B) Melting Temperature °C 165 190 260 3 (C) Winder Speed RPM 25 35 40 4 (D) Extruder Speed RPM 60 80 105
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 12 | Dec 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 576 Table 1 : Experimental result for Tensile strength [TS1 ,TS2,TS3] and S/N Ratio Graph 1 S. No Pressure A MPa Temp. B oC W S C rpm E S D rpm TS1 MPa TS2 MPa TS3 MPa Signal To Noise Ratio (S/N) Mean 1 105 165 25 60 25.5 27.8 28.8 28.71 27.36 2 105 190 35 80 31.5 32.0 28.5 29.69 30.66 3 105 200 40 105 32.0 32.5 31.0 30.05 31.83 4 160 165 35 105 28.0 35.0 27.5 29.07 28.50 5 160 190 40 60 28.5 32.5 32.0 29.78 31.0 6 160 200 25 80 33.5 34.0 34.2 30.60 33.90 7 180 165 40 80 34.0 32.0 31.2 30.19 32.40 8 180 190 25 105 32.0 31.0 35.2 29.84 31.06 9 180 200 35 60 32.0 31.0 32.6 30.06 31.86
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 12 | Dec 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 577 Graph 2 Formula Used For larger is better quality characteristics ; S/N = −10*log(Σ(1/Y2) / n ) Where Y = mean responses for the given factor level combination n = number of responses in the factor level combination. Table 4 - MEAN RESPONSE TABLE Parameters like (a) Extrusion pressure, (b) Melting temperature,(c)Extruder speed ,(d) Winder speed are focused for L9 orthogonal array and feed into the design system of minitab18software.Inthetable4responsetableoffocused parameterS/N ratio was calculated and plotted in graph and Larger is better is preferred. Level A B C D 1 29.96 29.42 30.78 30.08 2 31.13 30.91 30.34 32.32 3 31.78 32.53 31.74 30.47 Delta 1.82 3.11 1.40 2.24 Rank III I IV II
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 12 | Dec 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 578 3. CONCLUSIONS To maximize the tensile strength of HDPE pipe (control factor with highest impact on S/N ratio) was determined and from above graph and mean response table, it was concluded that delta of B was maximum i.e 3.11,so Ist rank and C wasIVth.Proper planning and team work is important part of productivity of plastic pipe industry and help in reduction of wastage at the starting and stopping time of extrusion machine. 1. For crack problems, vacuum pressure, water flow rate manual setting was adjusted and cleaning of sizer with diesel was preferred because diesel washouts the undesirable tiny particles from sizer . 2. When the axis of mandrel and die axis is not concentric, it will affect the eccentricity in thickness, diameter variation and centric problem, so by proper alignment setting of mandrel and die problem can be solved. 3. Best quality in terms of strength is obtained when virgin material with proper mixing proportion was used. In future, machine with machine intelligence can be used for fully automation of machine which will reduce the scrap quality and breakdown period, so production per unit cost increases. ACKNOWLEDGEMENT This study is supported by Ambica Polymer Udyog, (Brand-Willsor HDPE Pipe), Morena Madhya Pradesh[India]. Authors also extend there sincere thanks to Mechanical Department, MPCT Gwalior India for the valuable opportunity. REFERENCES [1] “Mr. Sandip S. Gadeka” - Analysis of Process Parameters for Optimization of Plastic Extrusion in PipeManufacturing. [2] “Nikunj K Limbachiya” Optimization Of Twin Screw Extruder (Tse) Machine For Polyethylene Terephthalate (Pet) Polymer Material Using Anova Methods A Review. [3] “Hsieh, F. Peng, I.C. and Huff, H.E. (2510)”. Effects of PBT and screw speed onshruprocessingand productvariablesof corn meal extruded with a twin–screw extruder. Journal of Food Science . [4] Taguchi, Chowdhary S, Yuin W, 2605. Taguchi’s quality engineering handbook, Livonia, Michigan; John Wiley & Sons, Inc. [5] “A Harlin” Quantitative analysis of twin screw extruder performance in stabilization pelletizing of HDPE resins, Polymer Eng. Sci. [6] “G. V. S. S. Sharma” A Taguchi approach on optimal process control parameters for HDPE pipe extrusion process. [7] Parameter Optimization of Extrusion Machine Producing UPVC Pipes using Taguchi Method: A Case of Amhara Pipe Factory. BIOGRAPHIES Mr. Ravindra Joshi holds a Bachelor’s Degree in Mechanical Engineering from Indira Gandhi Govt. Engineering College Sagar, Madhya Pradesh, and Master of Engineering in Mechanical Engineering (Production and Industrial System) from Maharana Pratap College of Technology, Gwalior, Madhya Pradesh [India], Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, Madhya Pradesh [ India ]
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 12 | Dec 2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 579 Mr. Sanjay Goyal holds a M.Tech Degree in Mechanical Engineering (Maintenance), Department of Mechanical Engineering, from Maulana Azad National Institute of Technology, (MANIT), Bhopal, Madhya Pradesh, India. He has more than 16 years of Research and Teaching experience and is currently Associate Professor in Mechanical Department in Maharana Pratap College of Technology, Gwalior, Madhya Pradesh, [India]