A Study of Hybrid Optimization of Injection Moulding Process Parameters for Plastic Gear

Abstract:

This paper presents a hybrid optimization method for optimizing the injection moulding process parameters for plastic gear. This proposed method combines the Taguchi robust design, grey relational analysis (GRA) and principal component analysis (PCA) in designing the experiments and analyzing the behaviour of shrinkage in addendum circles (AC), dedendum circles (DC) and tooth thickness (TT) of the moulded gear. The proposed hybrid optimization method appears to be a necessity to overcome the shortcomings in multiple quality characteristics optimization as well as provides a statistical solution in defining a weight for each quality characteristic.

• Periodical: Advanced Materials Research (Volumes 591-593)
• Pages: 2135-2138
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.591-593.2135
• Online since: November 2012
• Authors: Nik Mizamzul Mehat, Shahrul Kamaruddin, Abdul Rahim Othman
• Keywords: Grey Relational Analysis (GRA), Injection Moulding Process Parameters, Optimization, Plastic Gear, Principal Component Analysis (PCA), Taguchi Method

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