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Multi-objective optimization of absorber piston rod design parameter using Response Surface Methodology

Link to publisher's homepage at https://aset.unimap.edu.my

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Bibliographic Details
Main Author: Muhammad Zaki, Zamri
Other Authors: zakizamri07@gmail.com
Format: Article
Language:English
Published: Penerbit UniMAP (UniMAP Press) 2022
Subjects:
Response surface methodolog
Finite element analysis
Optimization
Piston rod
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77353
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spelling my.unimap-773532022-12-04T03:24:50Z Multi-objective optimization of absorber piston rod design parameter using Response Surface Methodology Muhammad Zaki, Zamri Muhammad Zaki, Zamri zakizamri07@gmail.com Faculty of Mechanical Engineering & Technology, Universiti Malaysia Perlis (UniMAP) Response surface methodolog Finite element analysis Optimization Piston rod Link to publisher's homepage at https://aset.unimap.edu.my Car absorbers provide a comfortable ride and improve ride handling by delivering road wheel contact. The typical car absorber problems are oil leakage and piston rod wear-out due to the lateral friction between the shell case and piston rod. The piston rod can bend and rupture when exposed to higher vibration exerting high impact force. This study focuses on optimizing car absorber piston rod design parameters via finite element analysis. The response surface methodology (RSM) was utilized to create the design of the numerical experiment. The piston rod parameters (i.e., length of the piston rod, the piston rod diameter #1, and the piston rod diameter #2) were optimized to reduce the stress and displacement of the piston rod. The optimization results revealed that the optimum parameters were 254 mm in piston length, 24.79 mm in diameter #1, and 15 mm in diameter #2. With the optimized piston rod parameters, the stress and displacement of the piston were 1.65048E+007 and 0.007569 mm, respectively. The most significant factors that influence the responses were also studied. The suggested optimized factors and responses were validated in the finite element simulation. 2022 2022-12-04T03:24:50Z 2022-12-04T03:24:50Z 2022-12 Article Advanced and Sustainable Technologies (ASET), vol.1(2), 2022, pages 20-29 2976-2294 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77353 https://aset.unimap.edu.my en Penerbit UniMAP (UniMAP Press)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Response surface methodolog
Finite element analysis
Optimization
Piston rod
spellingShingle Response surface methodolog
Finite element analysis
Optimization
Piston rod
Muhammad Zaki, Zamri
Muhammad Zaki, Zamri
Multi-objective optimization of absorber piston rod design parameter using Response Surface Methodology
description Link to publisher's homepage at https://aset.unimap.edu.my
author2 zakizamri07@gmail.com
author_facet zakizamri07@gmail.com
Muhammad Zaki, Zamri
Muhammad Zaki, Zamri
format Article
author Muhammad Zaki, Zamri
Muhammad Zaki, Zamri
author_sort Muhammad Zaki, Zamri
title Multi-objective optimization of absorber piston rod design parameter using Response Surface Methodology
title_short Multi-objective optimization of absorber piston rod design parameter using Response Surface Methodology
title_full Multi-objective optimization of absorber piston rod design parameter using Response Surface Methodology
title_fullStr Multi-objective optimization of absorber piston rod design parameter using Response Surface Methodology
title_full_unstemmed Multi-objective optimization of absorber piston rod design parameter using Response Surface Methodology
title_sort multi-objective optimization of absorber piston rod design parameter using response surface methodology
publisher Penerbit UniMAP (UniMAP Press)
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77353
_version_ 1753973016674435072
score 13.222552

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