Analysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation Method

This study focuses on the optimisation of the injection moulding parameters to maximise the strength ofmoulded parts using a simulation software. The moulded parts were injected with Acrylonitrile- Butadiene-Styrene (ABS) whereas mould temperature, melt temperature, packing pressure and packing time...

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Main Authors: S. M., Azlan, Z., Shayfull, S. M., Nasir, Mohd Sazli, Saad, Mohd Rashidi, Maarof, M., Fathullah
Format: Conference or Workshop Item
Language:English
Published: EDP Sciences 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/14826/
http://umpir.ump.edu.my/id/eprint/14826/
http://umpir.ump.edu.my/id/eprint/14826/1/Analysis%20of%20Strength%20on%20Thick%20Plate%20Part%20using%20Genetic%20Algorithm%20Optimisation%20Method.pdf
id ump-14826
recordtype eprints
spelling ump-148262017-03-27T03:01:50Z http://umpir.ump.edu.my/id/eprint/14826/ Analysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation Method S. M., Azlan Z., Shayfull S. M., Nasir Mohd Sazli, Saad Mohd Rashidi, Maarof M., Fathullah TJ Mechanical engineering and machinery This study focuses on the optimisation of the injection moulding parameters to maximise the strength ofmoulded parts using a simulation software. The moulded parts were injected with Acrylonitrile- Butadiene-Styrene (ABS) whereas mould temperature, melt temperature, packing pressure and packing time were selected as variable process parameters. The polynomial model obtained using Design of Experiment (DOE) was integrated with the Response Surface Methodology (RSM) and Centre Composite Design (CCD). The RSM was supported with Genetic Algorithm (GA) to anticipate the optimum value of processing parameters with the highest strength. It was found that strength of the parts can be improved 2.2% using the methodology reported herein. EDP Sciences 2016 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/14826/1/Analysis%20of%20Strength%20on%20Thick%20Plate%20Part%20using%20Genetic%20Algorithm%20Optimisation%20Method.pdf S. M., Azlan and Z., Shayfull and S. M., Nasir and Mohd Sazli, Saad and Mohd Rashidi, Maarof and M., Fathullah (2016) Analysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation Method. In: MATEC Web of Conferences: 2nd International Conference on Green Design and Manufacture 2016 (IConGDM 2016), 1-2 May 2016 , Phuket, Thailand. pp. 1-11., 78 (01085). ISSN 2261-236X http://dx.doi.org/10.1051/matecconf/20167801085
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
S. M., Azlan
Z., Shayfull
S. M., Nasir
Mohd Sazli, Saad
Mohd Rashidi, Maarof
M., Fathullah
Analysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation Method
description This study focuses on the optimisation of the injection moulding parameters to maximise the strength ofmoulded parts using a simulation software. The moulded parts were injected with Acrylonitrile- Butadiene-Styrene (ABS) whereas mould temperature, melt temperature, packing pressure and packing time were selected as variable process parameters. The polynomial model obtained using Design of Experiment (DOE) was integrated with the Response Surface Methodology (RSM) and Centre Composite Design (CCD). The RSM was supported with Genetic Algorithm (GA) to anticipate the optimum value of processing parameters with the highest strength. It was found that strength of the parts can be improved 2.2% using the methodology reported herein.
format Conference or Workshop Item
author S. M., Azlan
Z., Shayfull
S. M., Nasir
Mohd Sazli, Saad
Mohd Rashidi, Maarof
M., Fathullah
author_facet S. M., Azlan
Z., Shayfull
S. M., Nasir
Mohd Sazli, Saad
Mohd Rashidi, Maarof
M., Fathullah
author_sort S. M., Azlan
title Analysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation Method
title_short Analysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation Method
title_full Analysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation Method
title_fullStr Analysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation Method
title_full_unstemmed Analysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation Method
title_sort analysis of strength on thick plate part using genetic algorithm optimisation method
publisher EDP Sciences
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/14826/
http://umpir.ump.edu.my/id/eprint/14826/
http://umpir.ump.edu.my/id/eprint/14826/1/Analysis%20of%20Strength%20on%20Thick%20Plate%20Part%20using%20Genetic%20Algorithm%20Optimisation%20Method.pdf
first_indexed 2023-09-18T22:19:00Z
last_indexed 2023-09-18T22:19:00Z
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