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Open AccessArticle

Optimization of Injection Molding Parameters for HDPE/TiO2 Nanocomposites Fabrication with Multiple Performance Characteristics Using the Taguchi Method and Grey Relational Analysis

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Chemical & Petroleum Engineering Department, College of Engineering, UAE University, Al Ain 15551, UAE
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Mechanical Engineering Department, College of Engineering, UAE University, Al Ain 15551, UAE
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Author to whom correspondence should be addressed.
Academic Editor: Yehia M. Haddad
Materials 2016, 9(8), 710; https://doi.org/10.3390/ma9080710
Received: 17 July 2016 / Revised: 16 August 2016 / Accepted: 17 August 2016 / Published: 22 August 2016
The current study presents an investigation on the optimization of injection molding parameters of HDPE/TiO2 nanocomposites using grey relational analysis with the Taguchi method. Four control factors, including filler concentration (i.e., TiO2), barrel temperature, residence time and holding time, were chosen at three different levels of each. Mechanical properties, such as yield strength, Young’s modulus and elongation, were selected as the performance targets. Nine experimental runs were carried out based on the Taguchi L9 orthogonal array, and the data were processed according to the grey relational steps. The optimal process parameters were found based on the average responses of the grey relational grades, and the ideal operating conditions were found to be a filler concentration of 5 wt % TiO2, a barrel temperature of 225 °C, a residence time of 30 min and a holding time of 20 s. Moreover, analysis of variance (ANOVA) has also been applied to identify the most significant factor, and the percentage of TiO2 nanoparticles was found to have the most significant effect on the properties of the HDPE/TiO2 nanocomposites fabricated through the injection molding process. View Full-Text
Keywords: HDPE/TiO2 nanocomposites; injection molding parameters; optimization; Taguchi method; grey relational analysis HDPE/TiO2 nanocomposites; injection molding parameters; optimization; Taguchi method; grey relational analysis
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MDPI and ACS Style

Pervez, H.; Mozumder, M.S.; Mourad, A.-H.I. Optimization of Injection Molding Parameters for HDPE/TiO2 Nanocomposites Fabrication with Multiple Performance Characteristics Using the Taguchi Method and Grey Relational Analysis. Materials 2016, 9, 710.

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