Optimization of compression moulding parameters on mechanical properties of stainless steel 316L

Md Ali, Mohd Amran and Mohd Ali, Noorfa Idayu and Salleh, Mohd Shukor and Abdullah, Muhammad Ilman Hakimi Chua and Subramonian, Sivarao and Yamaguchi, Masayuki (2023) Optimization of compression moulding parameters on mechanical properties of stainless steel 316L. Journal of Advanced Manufacturing Technology (JAMT), 17 (1). pp. 47-58. ISSN 1985-3157

[img] Text
4005

Download (3kB)

Abstract

Compression moulding is one of the forming processes for metal powder compounded with thermoplastic materials. The compounded materials feed directly into a heated mould and compressed to form a final product. Recently, compression moulding process has received more attention due to the cost effectiveness as compared to the expensive forming processes such as injection moulding and isostatic pressing. This article focuses on the optimization compression moulding parameters on mechanical properties such as ultimate tensile strength, elastic modulus and percentage of elongation. The parameters of compression moulding selected are mould temperature, weight of material and pre-heat time. Taguchi method with L4 orthogonal array was implemented in this experiment. After optimization, it was found that the weight of material is the most significant parameter on the ultimate tensile strength and elastic modulus. Meanwhile, preheat time is the most significant for percentage of elongation. It was shown that mould temperature was not significant parameter for this experiment. Thus, the weight of material and preheat time are the most important parameters affected the mechanical properties of stainless steel 316L.

Item Type: Article
Uncontrolled Keywords: Compression moulding, Mechanical properties, Optimization, Taguchi method, Stainless steel 316L
Divisions: Faculty of Manufacturing Engineering
Depositing User: Norfaradilla Idayu Ab. Ghafar
Date Deposited: 22 Jul 2024 16:43
Last Modified: 22 Jul 2024 16:43
URI: http://eprints.utem.edu.my/id/eprint/27423
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item