Effect Of Injection Moulding Parameters On Warpage Deflection

Injection moulding is a process that can be characterised as their ability to produce high production rates with accurately product size and complex part shape. Generally, there are four elements affected the quality of injection moulded parts such as machine parameters, mould design, plastic materi...

Full description

Saved in:
Bibliographic Details
Main Author: Mohd Sani, Siti Salmah
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/16823/1/Effect%20Of%20Injection%20Moulding%20Parameters%20On%20Warpage%20Deflection.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utem-ep.16823
record_format uketd_dc
institution Universiti Teknikal Malaysia Melaka
collection UTeM Repository
language English
topic T Technology (General)
TP Chemical technology
spellingShingle T Technology (General)
TP Chemical technology
Mohd Sani, Siti Salmah
Effect Of Injection Moulding Parameters On Warpage Deflection
description Injection moulding is a process that can be characterised as their ability to produce high production rates with accurately product size and complex part shape. Generally, there are four elements affected the quality of injection moulded parts such as machine parameters, mould design, plastic materials and operator. In order to ensure quality of injection moulding parts can be produced at minimum cost and maximum productivity, the appropriate machine setting parameters are the priority should be achieved. Variation of process parameters are unavoidable in production of injection moulding and affected the quality of part because involved enormous process parameters. The purpose of this study is to analyze the effect of injection moulding parameters that are including cavity temperature, core temperature, mould temperature, melt temperature and cooling time. The main response of this study is to investigate the warpage deflection using simulation software and actual experimental method. The experiment was performed using injection moulding machine Arburg 420C 800-250 while simulation was done using MoldflowTM Plastic Insight (MPI) software. Design of experiment (DOE) using Taguchi method was applied to design the experimental runs and it was used to analyze the significant factors that affected the warpage deflection. Three methods of investigation work were performed in this research. First investigation work was performed by compared the deviation percentage between simulation MoldflowTM software and actual experimental method using different core and cavity mould temperature gradient. Second and third investigation works focus on optimized parameters using whole cold mould and whole hot mould where both investigation works were performed using simulation MoldflowTM software. Analysis of variance (ANOVA) was used as statistical tools to get the percentage of contribution for each factor and to find the interaction between parameters involved. The average deviation percentage of warpage deflection by simulation software and actual experiment for first investigation work using different mould core and cavity temperature gradient was found 12.80%. The improvement of warpage deflection between those three investigation works shows that the warpage deflection is improved at 89.53% from 0.5716mm to 0.0599mm between first and third investigation work. Meanwhile, warpage reduction between first and second investigation is 83.52% and between second and third investigation is 35.31%. Result shows that the lower differences between core and cavity temperature contributes smaller warpage deflection. On the other hand hot mould temperature controlled contributes less warpage deflection as compared to cold mould. This study proved that with appropriate control parameters in injection moulding process can produce better plastic products quality.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Mohd Sani, Siti Salmah
author_facet Mohd Sani, Siti Salmah
author_sort Mohd Sani, Siti Salmah
title Effect Of Injection Moulding Parameters On Warpage Deflection
title_short Effect Of Injection Moulding Parameters On Warpage Deflection
title_full Effect Of Injection Moulding Parameters On Warpage Deflection
title_fullStr Effect Of Injection Moulding Parameters On Warpage Deflection
title_full_unstemmed Effect Of Injection Moulding Parameters On Warpage Deflection
title_sort effect of injection moulding parameters on warpage deflection
granting_institution Universiti Teknikal Malaysia Melaka
granting_department Faculty Of Manufacturing Engineering
publishDate 2015
url http://eprints.utem.edu.my/id/eprint/16823/1/Effect%20Of%20Injection%20Moulding%20Parameters%20On%20Warpage%20Deflection.pdf
_version_ 1747833897106800640
spelling my-utem-ep.168232020-11-11T14:31:38Z Effect Of Injection Moulding Parameters On Warpage Deflection 2015 Mohd Sani, Siti Salmah T Technology (General) TP Chemical technology Injection moulding is a process that can be characterised as their ability to produce high production rates with accurately product size and complex part shape. Generally, there are four elements affected the quality of injection moulded parts such as machine parameters, mould design, plastic materials and operator. In order to ensure quality of injection moulding parts can be produced at minimum cost and maximum productivity, the appropriate machine setting parameters are the priority should be achieved. Variation of process parameters are unavoidable in production of injection moulding and affected the quality of part because involved enormous process parameters. The purpose of this study is to analyze the effect of injection moulding parameters that are including cavity temperature, core temperature, mould temperature, melt temperature and cooling time. The main response of this study is to investigate the warpage deflection using simulation software and actual experimental method. The experiment was performed using injection moulding machine Arburg 420C 800-250 while simulation was done using MoldflowTM Plastic Insight (MPI) software. Design of experiment (DOE) using Taguchi method was applied to design the experimental runs and it was used to analyze the significant factors that affected the warpage deflection. Three methods of investigation work were performed in this research. First investigation work was performed by compared the deviation percentage between simulation MoldflowTM software and actual experimental method using different core and cavity mould temperature gradient. Second and third investigation works focus on optimized parameters using whole cold mould and whole hot mould where both investigation works were performed using simulation MoldflowTM software. Analysis of variance (ANOVA) was used as statistical tools to get the percentage of contribution for each factor and to find the interaction between parameters involved. The average deviation percentage of warpage deflection by simulation software and actual experiment for first investigation work using different mould core and cavity temperature gradient was found 12.80%. The improvement of warpage deflection between those three investigation works shows that the warpage deflection is improved at 89.53% from 0.5716mm to 0.0599mm between first and third investigation work. Meanwhile, warpage reduction between first and second investigation is 83.52% and between second and third investigation is 35.31%. Result shows that the lower differences between core and cavity temperature contributes smaller warpage deflection. On the other hand hot mould temperature controlled contributes less warpage deflection as compared to cold mould. This study proved that with appropriate control parameters in injection moulding process can produce better plastic products quality. 2015 Thesis http://eprints.utem.edu.my/id/eprint/16823/ http://eprints.utem.edu.my/id/eprint/16823/1/Effect%20Of%20Injection%20Moulding%20Parameters%20On%20Warpage%20Deflection.pdf text en public http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=96252 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Manufacturing Engineering 1. Aashiq, M.M., Arun, A.P., and Parthiban, M., 2013. Investigation of Process Parameters for an Injection Molding Component for Warpage and Shrinkage. International Journal of Engineering Trends and Technology, 4 (4), pp.1237-1241. 2. Abhang, L.B., and Hameedullah, M., 2012. Optimization of Machining Parameters in Steel Turning Operation by Taguchi Method. Procedia Engineering, pp.40–48. 3. Alfreda, C.E., 2006. The Complete Part Design Handbook: for Injection Molding of Thermoplastics, 1 st ed., Cincinnati: Hanser Gardner Publications. 4. Amran, M., Salmah, S., Zaki, M., Izamshah, R., Hadzley, M., Sivarao, S., Kasim, M.S., and Amri, M., 2014. The Effect of Pressure on Warpage of Dumbbell Plastic Part in Injection Moulding Machine. Advanced Materials Research, 903 (2014), pp.61-66. 5. Anoop, C.A., and Kumar, P., 2013. Application of Taguchi Methods and ANOVA in GTAW Process Parameters Optimization for Aluminium Alloy 7039. International Journal of Engineering and Innovative Technology, 2 (11), pp.54–58. 6. Anonymous, 2011. Factors Affecting the Injection Process. Tayu Machinery Product. Available at: http://injection-molding-machine.tayu.cn/injection-machine/209.html [Accessed on 20 December 2014]. Barbara, G.T., and Linda, S.F., 2012. Using Multivariate Statistics, 6 th ed., New Jersey: Pearson Education. 7. Bariran, S.E., and Sahari, K.S., 2013. Taguchi Method Based Optimization in Plastic Injection Moulding: A Novel Literature Review Based Classification and Analysis. International Conference on Robust Quality Engineering, pp.113–116. 8. Barros, I., Teixeira, S.F.C., Teixeira, J.C., and Cunha, A.M., 2000. Evaluation of the Thermal Behaviour of Injection Moulds. International Polymer Processing, 15 (1), pp.95- 102. 9. Bayer, 2013. Optimized Mold Temperature Control. Available at: http://www.plastics.bayer.com [Accessed on 20 September 2014]. 10. Beaumont, J.P., 2004. Runner and Gating Design Handbook Tools for Successful Injection Moulding, 1 st ed., New York: Carl Hanser. 11. Ben, B., Michael, M., and Patrick, B., 2001. Predicting Shrinkage for Injection Molds. Society of Plastics Annual Technical Papers, pp.3180–3184. 12. Bociaga, E., Jaruga, T., Lubczynska, K., and Gnatowski, A., 2010. Warpage of Injection Moulded Parts as the Result of Mould Temperature Difference. Archives of Materials Science and Engineering, 44 (1), pp.28-34. 13. Boell, K.M., 1995. Predicting the Cooling Time of an Injection Moulded Part. Proceedings of the 53th Annual Technical Conference & Exhibition, pp.4242-4246. 14. Brinson, H.F., and Catherine, L.B., 2007. Polymer Engineering Science and Viscoelasticity: An Introduction, 1 st ed., New York: Springer Science & Bussiness Media. 15. Bryce, D., 1996. Plastic Injection Molding Manufacturing Process Fundamentals, 1st ed., New Jersey: Society of Manufacturing Engineers. 16. Chanda, M., and Roy, S.K., 2012. Plastics Technology Handbook, 4th ed., United States: CRC Press. 17. Chang, T.C., and Faison, E., 1999. Optimization of Weld Line Quality in Injection Molding Using an Experimental Design Approach. Journal of Injection Molding Technology, 3 (2), pp.61-66 18. Chang, Y., Liu, C.S., Huang, S.T., Huang, C., Chen, M., and Yang, W., 2009. Dynamic Property of the Frozen-Layer and Its Effects on Warpage in Injection Molded Parts. Society of Plastics Engineering ANTEC, pp.2905-2911. 19. Chen, C.P., Chuang, M.T., Hsiao, Y.H., Yang, Y.K., and Tsai, C.H., 2009. Simulation and Experimental Study in Determining Injection Molding Process Parameters for Thin-Shell Plastic Parts via Design of Experiments Analysis. Expert Systems with Applications, 36 (7), pp.10752–10759. 20. Chen, S.C., Minh, P.S., Hsieh, I.S., and Chiou, Y.C., 2009. Improve Cooling Effect of Injection Molding By Pulsed-Cooling Method. Department of Mechanical Engineering, Chung Yuan Christian University, Taiwan. 21. Chin, C. S., 2008. An Investigation to Improve Construction Information Flows. ProQuest. United States. Custompartnet, 2007. Injection Moulding. Available at: http://www.custompartnet.com/wu/InjectionMolding [Accessed on 20 September 2014]. 22. Czitrom, V., and Spagon, P.D., 1997. Statistical Case Studies for Industrial Process Improvement, 1 st ed., United States: SIAM. Dang, X.P., 2014. General Frameworks for Optimization of Plastic Injection Molding Process Parameters. Simulation Modelling Practice and Theory, pp.15-27. 23. Department of Skills Development Ministry of Human Resources, 2013. Occupational Analysis Plastics Industry. Ministry of Human Resources, Malaysia. 24. Dhavamani, C., and Alwarsamy, T., 2011. Review on Optimization of Machining Operation. International Journal of Academic Research, 3 (3), pp.476–485. 25. Fei, N.C., Mehat, N.M., and Kamaruddin, S., 2013. Practical Applications of Taguchi Method for Optimization of Processing Parameters for Plastic Injection Moulding: A Retrospective Review. International Scholarly Research Notices, 2013 (2013), pp.1–11. 26. Fischer, J., 2012. Handbook of Molded Part Shrinkage and Warpage, 2 nd ed., New York: William Andrew. 27. Fuh, J.Y.H., Zhang, Y.F., Fu, M.W., and Nee, A.Y.C., 2004. Computer-Aided Injection Mold Design and Manufacture, 1 st ed., United States: CRC Press. 28. Gao, Y., and Wang, X., 2009. Surrogate-Based Process Optimization for Reducing Warpage in Injection Molding. Journal of Materials Processing Technology, 209 (3), pp.1302–1309. 29. Gipson, P.M., Grelle, P.F., and Salamon, B.A., 1999. The Effects of Process Conditions, Nominal Wall Thickness and Flow Length on the Shrinkage Characteristics of Injection Moulded Polypropylene. Society of Plastics Engineering ANTEC, pp.443-449. 30. Goodship, V., 2004. Arburg Practical Guide to Injection Moulding, 1 st ed., United Kingdom: Rapra Technology. Gordon, J.M.J., 2010. Total Quality Process Control for Injection Molding, 2nd ed., New Jersey: John Wiley & Sons. 31. Greer, M.R., Reaume, A., and Kowalski, G., 2010. The Importance of Mold Temperature on the Properties of Polyphenylene Sulfide Parts. Society of Plastic Engineering (SPE) ANTEC, pp.1-6. 32. Huang, M.C., and Tai, C.C, 2001. The Effective Factors in the Warpage Problem of an Injection-Molded Part with a Thin Shell Feature. Journal of Materials Processing Technology, 110 (1), pp.1-9. 33. Hussin, R., Saad, M.R., Hussin, R., and Dawi, M.S.I.M, 2012. An Optimization of Plastic Injection Molding Parameters Using Taguchi Optimization Method. Asian Transactions on Engineering, 2 (5), pp.75-80. 34. Johannaber, F., 2008. Injection Molding: A User’s Guide, 4th ed., New York: Carl Hanser. Kalpakjian, S., and Schmid, S.R., 2013. Manufacturing Engineering and Technology, 7th ed., New Jersey: Prentice Hall. 35. Kamal, M.R., Isayev, A., and Liu, S.J., 2009. Injection Molding: Technology and Fundamentals, 1 st ed., New York: Carl Hanser Verlag. 36. Kamaruddin, S., Khan, Z.A., and Wan, K.S., 2004. The Use of the Taguchi Method in Determining the Optimum Plastic Injection Moulding Parameters for the Production of a Consumer Product. Jurnal Mekanikal, 18, pp.98-110. 37. Kamble, P.D., Waghmare, A.C., Askhedhar, R.D., Sahare, S.B., and Khedkhar, S.S., 2011. Optimization of Turning Operation – A Review. International Journal of Mechanical, Automobile & Production Engineering, 1 (3), pp.110–119. 38. Karna, S.K., and Sahai, R., 2012. An Overview on Taguchi Method. International Journal of Engineering and Mathematical Sciences, 1 (1), pp.1-7. 39. Kazmer, D.O., 2012. Injection Mold Design Engineering. 2 nd ed., New York: Carl Hanser. Kennedy, P.K., 2008. Practical and Scientific Aspects of Injection Molding Simulation, 1 st ed., New York: Technische Universiteit Eindhoven. 40. King, M., 2013. Injection Gate Design. [online] Available at: http://www.chmold.com/english/Injection-Gate-Design-n111.htm [Accessed on 20 December 2014]. 41. Kikuchi, H., and Koyama, K., 2004. Generalized Warpage Parameter. Polymer Engineering & Science, 36 (10), pp.1309-1316. Kittisorn, S., 2004. A Market Highlights and Best Prospects. Plastics Manufacturing Machinery. Kokkulunk, G., Parlak, A., Bagci, E., and Aydin, Z., 2014. Application of Taguchi Methods for the Optimization of Factors Affecting Engine Performance and Emission of Exhaust Gas Recirculation in Steam-injected Diesel Engines. Acta Polytechnica Hungarica, 11 (5), pp.95-107. 42. Kurt, M, Saban Kamber, O., Kaynak, Y., Atakok, G., and Girit, O., 2009. Experimental Investigation of Plastic Injection Molding: Assessment of the Effects of Cavity Pressure and Mold Temperature on the Quality of the Final Products. Materials and Design, 30 (8), pp.3217–3224. 43. Kurtaran, H., Ozcelik, B., and Erzurumlu, T., 2005. Warpage Optimization of a Bus Ceiling Lamp Base Using Neural Network Model And Genetic Algorithm, Journal of Materials Processing Technology, 169 (2), pp.314–319. 44. Lakshmana, N.T.K., Ravi, B.C., Gaviyappa, G.H., Utthanoor, B.R., Shivaraj, S., and Vishwanath, B.N., 2014. A Study on Reducing the Sink Mark in Plastic Injection Moulding-Taguchi Technique. International Journal of Engineering Research and Development, 10 (3), pp.40-43. 45. Lia, 2013. A Short Television History. [online] Available at: http://www.bloglet.com/ashort-television-history/ [Accessed on 20 December 2014]. 46. Longzhi, Z., Binghui, C., Jianyun, L., and Shangbing, Z., 2010. Optimization of Plastics Injection Molding Processing Parameters Based on the Minimization of Sink Marks. International Conference Mechanic Automation and Control Engineering (MACE), pp.593-595. 47. Mathews, P.G., 2005. Design of Experiments with MINITAB, 1st ed., United States: ASQ Quality Press. 48. Mehat, N.M., Kamaruddin, S., and Othman, A.R., 2013. Modeling and Analysis of Injection Moulding Process Parameters for Plastic Gear Industry Application. International Scholarly Research Notices, 2013 (2013), pp.1-10. 49. Michael, S., 2011. The Importance of Melt & Mold Temperature. Plastic Technology, December. 50. Milos, M., and Miroslav, R., 2013. Application of the Taguchi Method for Optimization of Laser Cutting : A Review. Non Conventional Technologies Romania Association, pp.50–57. 51. Ming, T.K., Hsieh, C.Y., and Lo, W.C., 2009. A Study of the Effects of Process Parameters for Injection Molding on Surface Quality of Optical Lenses. Journal of Materials Processing Technology, 209 (7), pp.3469-3477. 52. Mohamed, O.A., Masood, S.H., Saifullah, A., 2013. A Simulation Study of Conformal Cooling Channels in Plastic Injection Moulding. International Journal of Engineering Research, 2(5). pp.344-348. 53. MoldflowTM Plastic Insight, (2014), Interpreting mesh statistics. Page 1-25. Murphy, J., 1998. The Reinforced Plastic Handbook, 1 st ed., New York: Elsevier. 54. NIIR Board of Consultants and Engineers, 2006. The Complete Technology Book on Plastic Extrusion, Moulding and Mould Designs, 1st ed., New Delhi: Pacific Business Press Inc. 55. Oktem, H., 2012. Optimum Process Conditions on Shrinkage of an Injected-Molded Part of DVD-ROM Cover Using Taguchi Robust Method. International Journal of Advanced Manufacturing Technology, 61 (5), pp.519-528. 56. Oktem, H., Erzurumlu, T., and Uzman, I., 2007. Application of Taguchi Optimization Technique in Determining Plastic Injection Molding Process Parameters for a Thin-Shell Part. Materials & Design, 28 (4), pp.1271-1278. 57. Osswald, T.A., Turng, L.S., and Gramann, P.J., 2008. Injection Molding Handbook, 2 nd ed., New York: Carl Hanser. 58. Ozcelik, B., and Sonat, I., 2009. Warpage and Structural Analysis of Thin Shell Plastic in the Plastic Injection Molding. Materials and Design, 30 (2), pp.367–375. 59. Ozcelik, B., and Erzurumlu, T., 2006. Comparison of the Warpage Optimization in the Plastic Injection Molding Using ANOVA, Neural Network Model and Genetic Algorithm. Journal of Materials Processing Technology, 171 (3), pp.437-445. 60. Ozcelik, B., Ozbaya, A., and Demirbas, E., 2010. Influence of Injection Parameters and Mold Materials on Mechanical Properties of ABS in Plastic Injection Molding. International Communications in Heat and Mass Transfer, 37 (9), pp.1359–1365. 61. Pannerselvam, R., 2012. Design and Analysis of Experiments, 1 st ed., New Delhi: PHI Learning Pvt.Ltd. 62. Pareek, R.,and Bhamniya, J., 2013. Optimization of Injection Moulding Process using Taguchi and ANOVA. International Journal of Scientific & Engineering Research, 4 (1), pp.1-6. 63. Polypropylene Malaysia Sdn Bhd.,2011. Propelinas G112. Page 1-6. Popat, M.A., 2012. An Investigation and Analysis of Process Parameters for EDM Drilling Machine using Taguchi Method: Saurashtra University. 64. Potsch, G., and Michaeli, W., 2008. Injection Molding: An Introduction, 2nd ed., New York: Carl Hanser. 65. Rajalingam, S., Bono, A., and Sulaiman, J., 2012. Identifying the Critical Moulding Machine Parameters Affecting Injection Moulding Process by Basic Statistical Process Control Tools. International Journal of Engineering and Physical Sciences, 6, pp.358-364. 66. Ranran, X., and Huimin, Z., 2013. Optimization Design of Injection Mold Gate for the Washing Machine Control Pane Based on Moldflow. Plastics Manufacture, 11 (41). 67. Robert, A.M., 2011. Plastic Part Design for Injection Molding: An Introduction, 2 nd ed., New York: Carl Hanser. 68. Rosato, D.V., Rosato, D.V., and Rosato, M.G., 2000. Injection Molding Handbook, 3rd ed., United States: Springer Science & Business Media. 69. Roy, R.K., 2010. A Primer on the Taguchi Method, 2nd ed., New Jersey: Society of Manufacturing Engineers. 70. Sanchez, R., Aisa, J., Martinez, A., and Mercado, D., 2012. On the Relationship between Cooling Setup and Warpage in Injection Molding. Measurement, 45 (5), pp.1051–1056. 71. Sandoval, T., 2015. Infrared Thermometers: Re-purposing Another Tool. Available at: http://techdissected.com/alternative-tech/infrared-thermometers-re-purposing-another-tool/ [Accessed on 20 December 2014]. 72. Sannen, S., Munck, M.D., Keyzer, J.D., and Puyvelde, P.V., 2012. Water-Assisted Injection Molding: Validation of 3D Simulations by Experimental Data. Society of Plastic Engineers, pp.1-5. 73. School of Technology and Management, n.d., Validation Phase and Simulation : Injection Moulding. Polytechnic Institute of Leiria. Seyler, R., and Schenck, A., 2003. Warpage Index Based on Cooling and Orientational Effects. Society of Plastics Engineering ANTEC, pp.3353-3357. 74. Sharma, P.C., 2007. A Textbook of Production Technology: Manufacturing Processes, 2nd ed., New Delhi: 75. Chand. Shayfull, Z., Ghazali, M.F., Azaman, M., Nasir, S.M., and Faris, N.A., 2010. Effect of Differences Core and Cavity Temperature on Injection Molded Part and Reducing the Warpage by Taguchi Method. International Journal of Engineering & Technology, 10 (6), pp.133–140. 76. Shi, H., Xie, S., and Wang, X., 2013. A Warpage Optimization Method for Injection Molding Using Artificial Neural Network with Parametric Sampling Evaluation Strategy. International Journal of Advanced Manufacturing Technology, 65 (1), pp.343-353. 77. Shijun, N., 2003. Effects of Mold Gating on Shrinkage and Warpage of Injection Molded Parts. Society of Plastic Engineers, pp.544-548. 78. Shijun, N., 2004. Minimizing Warpage of an Injection Molded Part by Systematic Simulation Analysis. Society of Plastic Engineers, pp.616-620. 79. Shoemaker, J., 2006. Moldflow Design Guide. 1 st ed., Carl Hanser Publication., Cincinnati, USA. Shuaib, N.A., Ghazali, M.F., Shayfull, Z., Zain, M.Z.M., and Nasir, S.M., 2011. Warpage Factors Effectiveness of a Thin Shallow Injection-Molded Part using Taguchi Method. International Journal of Engineering & Technology, 11(1), pp.183-187. 80. Singh, H., 2012. Taguchi Optimization Of Process Parameters : A Review And Case Study, International Journal of Advanced Engineering Research and Studies, 1 (3), pp.39– 41. 81. Subramaniam, N.M., 2011. The Basics of Troubleshooting in Plastics Processing: An Introductory Practical Guide, 1st ed., New Jersey: John Wiley & Sons. 82. Sun, J., Li, Y.Q., and Li, F., 2011. Effect of the Injection Molding Processing Parameters on Automobile Bumper Warpage Deformation. China Plastics Industry, 5 (15). 83. Tang, S.H., Tan, Y.J., Sapuan, S.M., Sulaiman, S., Ismail, N., and Samin, R., 2007. The Use of Taguchi Method in Injection Moulding for Reducing Warpage. Journal of Materials Processing Technology, 182 (1), pp.418-426. 84. Telford, J.K., 2007. A Brief Introduction to Design of Experiments. Johns Hopkins Apl Techical Digest, 27(3), pp.224–232. 85. Unal, R., and Dean, E., 1991. Taguchi Approach to Design Optimization for Quality and Cost: An Overview. International Society of Parametric Analysis, pp.1–10. 86. Vashisht, R., and Kapila, A., 2013. A Comparative Study of Coolants based on the Cooling Time of Injection Molding. International Journal of Emerging Technology and Advanced Engineering, 4 (6), pp.830-834. 87. Vishnuvarthanan, M., Panda, R., and Ilangovan, S., 2013. Optimization of Injection Molding Cycle Time Using Moldflow Analysis. Middle East Journal of Scientific Research, 13 (7), pp.944-946. 88. Wang, X., Yang, W., and Xie, P., 2012. Injection Molding Gating System Scheme and Warpage Analysis of Automobile Dashboard. Computer Aided Engineering, 1 (13). 89. Winston, R.R., 2011. Uhlig’s Corrosion Handbook, 3rd ed., New Jersey: John Wiley & Sons. Wolf, R.A., 2012. Atmospheric Pressure Plasma for Surface Modification, 1 st ed., New Jersey: John Wiley & Sons. 90. Xia, W., 2012. Flow and Warpage Simulation of Mobile Phone Injection Mold. Instrumentation & Measurement, Sensor Network and Automation, pp. 491-493. 91. Yadav, A.J., Dravid, S.V., and Rajput, V.D., 2012. Taguchi Technique in Optimization of Injection Molding Process Parameters for Manufacturing Plastic Parts. Proceedings of the Third Biennial National Conference on Nascent Technologies, Institute of Technology Mumbai, 24-25 February 2012. Department of Mechanical Engineering. 92. Yang, T.M., Hsu, N.S., Chiu, C.C., and Wang, H.J., 2014. Applying the Taguchi Method to River Water Pollution Remediation Strategy Optimization. International Journal of Environmental Research and Public Health, 11 (4), pp.4108-4124. 93. Zhou, H., 2013. Computer Modeling for Injection Molding: Simulation, Optimization and Control, 1 st ed., New Jersey: John Wiley & Sons.