eprintid: 19810
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/98/10
datestamp: 2024-06-04 14:19:32
lastmod: 2024-06-04 14:19:32
status_changed: 2024-06-04 14:15:54
type: conference_item
metadata_visibility: show
creators_name: Bharathy, N.K.A.M.
creators_name: Mehat, N.M.
creators_name: Kamaruddin, S.
title: Multi-factors optimization of injection moulded plastic bearing via Taguchi method
ispublished: pub
note: cited By 0; Conference of 2nd International Conference on Science, Engineering and Technology, ICSET 2022 ; Conference Date: 6 July 2022 Through 7 July 2022; Conference Code:197941
abstract: During injection moulding process, there are numerous variables that have to be considered such as material selection, part and mould design as well as processing parameters. All the variables interact with each other to determine the quality of the plastic part. Inappropriate combination of material selection, part and mould design as well as processing parameters can cause numerous production problems, degradation in final mechanical properties or defects on the aesthetic appearance of the moulded part. Therefore, it is of utmost importance to effectively control all the influential factors to improve the quality characteristics of the final moulded part. In this study, Taguchi optimization method was proposed to be integrated in simulation and optimize all the factors including material selection, part and mould design as well as processing parameters and determine the significance of each factor on the quality of the moulded part. In this research, volumetric shrinkage, shear stress at wall and deflection were selected as quality characteristics to study the effect of material selection, part design and injection moulding processing parameters on the bearing outer cage. © 2024 Author(s).
date: 2024
publisher: American Institute of Physics
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188300113&doi=10.1063%2f5.0180610&partnerID=40&md5=3cd9c6708e9598c03afe75f1a351a1bb
id_number: 10.1063/5.0180610
full_text_status: none
publication: AIP Conference Proceedings
volume: 2934
number: 1
refereed: TRUE
issn: 0094243X
citation:   Bharathy, N.K.A.M. and Mehat, N.M. and Kamaruddin, S.  (2024) Multi-factors optimization of injection moulded plastic bearing via Taguchi method.  In: UNSPECIFIED.