Optimization of Laminated Composites Characteristics via integration of Chamis Equation, Taguchi method and Principal Component Analysis

Syarafuddin Salam, S. and Mizamzul Mehat, N. and Kamaruddin, S. (2019) Optimization of Laminated Composites Characteristics via integration of Chamis Equation, Taguchi method and Principal Component Analysis. In: UNSPECIFIED.

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Abstract

To date, composite material has drawn significant attention due to its extended properties in various application. Many factors need to be considered in designing the composites which might leads to complex decision making. Therefore, this study focuses on analyzing and optimizing various factors including combination of material, volume fraction of fiber, ply angle, ply quantity, ply thickness and load applied via integration of the Taguchi method / Principal component analysis along with analytical analysis of Chamis equation. The finite element was adopted in conducting the analysis. Three responses were considered for the laminated composites namely displacement, stress and strain. The findings from the main effects analysis showed that the set of optimum parameters was identified as load applied of 2000N, ply thickness of 0.08 mm, ply quantity of 12 plies, ply angle of 0,90,0 °, material combination of boron/epoxy as well as volume fraction of 65. © 2019 Published under licence by IOP Publishing Ltd.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 1; Conference of International Conference on Green Engineering Technology and Applied Computing 2019, IConGETech2 019 and International Conference on Applied Computing 2019, ICAC 2019 ; Conference Date: 4 February 2019 Through 5 February 2019; Conference Code:150987
Uncontrolled Keywords: Decision making; Green computing; Integral equations; Laminated composites; Laminating; Taguchi methods; Volume fraction, Analytical analysis; Complex decision; Component analysis; Main effect; Material combination; Optimum parameters; Ply angles; Stress and strain, Principal component analysis
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 10 Nov 2023 03:25
Last Modified: 10 Nov 2023 03:25
URI: https://khub.utp.edu.my/scholars/id/eprint/11393

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