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Original Articles

Effects of Process Parameters and Two-Way Interactions on Sink Mark Depth of Injection Molded Parts by Using the Design of Experiment Method

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Pages 30-35 | Published online: 26 Dec 2007

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Read on this site (3)

Nik Mizamzul Mehat & Shahrul Kamaruddin. (2011) Multi-Response Optimization of Injection Moulding Processing Parameters Using the Taguchi Method. Polymer-Plastics Technology and Engineering 50:15, pages 1519-1526.
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Chorng-Jyh Tzeng, Yung-Kuang Yang, Ming-Hua Hsieh & Chun-Yuan Chen. (2011) Adaptive Adjustment of Injection Molding Process for Mechanical Characteristics Using the Taguchi Method and Response Surface Methodology. Polymer-Plastics Technology and Engineering 50:6, pages 552-563.
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Janak Suthar, Jinil Persis, V. G. Venkatesh & Yangyan Shi. Exploring smart quality predictive modelling approach: a case study of the injection-molding industry. Production Planning & Control 0:0, pages 1-16.
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Articles from other publishers (4)

Huang Gao, Yun Zhang, Xundao Zhou & Dequn Li. (2018) Intelligent methods for the process parameter determination of plastic injection molding. Frontiers of Mechanical Engineering 13:1, pages 85-95.
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J. Sreedharan & A.K. Jeevanantham. (2018) Optimization of Injection Molding Process to Minimize Weld-line and Sink-mark Defects Using Taguchi based Grey Relational Analysis. Materials Today: Proceedings 5:5, pages 12615-12622.
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Nik Mizamzul Mehat & Shahrul Kamaruddin. (2012) Quality control and design optimisation of plastic product using Taguchi method: a comprehensive review. International Journal of Plastics Technology 16:2, pages 194-209.
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D. Mathivanan & N. S. Parthasarathy. (2009) Sink-mark minimization in injection molding through response surface regression modeling and genetic algorithm. The International Journal of Advanced Manufacturing Technology 45:9-10, pages 867-874.
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