Shrinkage Analysis on Thick Plate Part using Response Surface Methodology (RSM)
The work reported herein is about an analysis on the quality (shrinkage) on a thick plate part using Response Surface Methodology (RSM). Previous researches showed that the most influential factor affecting the shrinkage on moulded parts are mould and melt temperature. Autodesk Moldflow Insight sof...
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ump-176012017-05-23T03:28:09Z http://umpir.ump.edu.my/id/eprint/17601/ Shrinkage Analysis on Thick Plate Part using Response Surface Methodology (RSM) Isafiq, M. Shayfull, Z. Nasir, S. M. Rashidi, M. M. Fathullah, M. Noriman, N. Z. TJ Mechanical engineering and machinery The work reported herein is about an analysis on the quality (shrinkage) on a thick plate part using Response Surface Methodology (RSM). Previous researches showed that the most influential factor affecting the shrinkage on moulded parts are mould and melt temperature. Autodesk Moldflow Insight software was used for the analysis, while specifications of Nessei NEX 1000 injection moulding machine and P20 mould material were incorporated in this study on top of Acrylonitrile Butadiene Styrene (ABS) as a moulded thermoplastic material. Mould temperature, melt temperature, packing pressure and packing time were selected as variable parameters. The results show that the shrinkage have improved 42.48% and 14.41% in parallel and normal directions respectively after the optimisation process. EDP Sciences 2016 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/17601/1/matecconf_icongdm2016_01084.pdf Isafiq, M. and Shayfull, Z. and Nasir, S. M. and Rashidi, M. M. and Fathullah, M. and Noriman, N. Z. (2016) Shrinkage Analysis on Thick Plate Part using Response Surface Methodology (RSM). In: MATEC Web of Conferences: 2nd International Conference on Green Design and Manufacture 2016 (IConGDM 2016), 1-2 May 2016 , Phuket, Thailand. pp. 1-8., 78 (01084). ISSN 2261-236X https://doi.org/10.1051/matecconf/20167801084 DOI: 10.1051/matecconf/20167801084 |
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TJ Mechanical engineering and machinery Isafiq, M. Shayfull, Z. Nasir, S. M. Rashidi, M. M. Fathullah, M. Noriman, N. Z. Shrinkage Analysis on Thick Plate Part using Response Surface Methodology (RSM) |
description |
The work reported herein is about an analysis on the quality (shrinkage) on a thick plate part using Response Surface Methodology (RSM). Previous researches showed that the most influential factor affecting the shrinkage on moulded parts are mould and melt temperature.
Autodesk Moldflow Insight software was used for the analysis, while specifications of Nessei NEX 1000 injection moulding machine and P20 mould material were incorporated in this study on top of Acrylonitrile
Butadiene Styrene (ABS) as a moulded thermoplastic material. Mould temperature, melt temperature, packing pressure and packing time were selected as variable parameters. The results show that the shrinkage have
improved 42.48% and 14.41% in parallel and normal directions respectively after the optimisation process. |
format |
Conference or Workshop Item |
author |
Isafiq, M. Shayfull, Z. Nasir, S. M. Rashidi, M. M. Fathullah, M. Noriman, N. Z. |
author_facet |
Isafiq, M. Shayfull, Z. Nasir, S. M. Rashidi, M. M. Fathullah, M. Noriman, N. Z. |
author_sort |
Isafiq, M. |
title |
Shrinkage Analysis on Thick Plate Part using Response Surface Methodology (RSM) |
title_short |
Shrinkage Analysis on Thick Plate Part using Response Surface Methodology (RSM) |
title_full |
Shrinkage Analysis on Thick Plate Part using Response Surface Methodology (RSM) |
title_fullStr |
Shrinkage Analysis on Thick Plate Part using Response Surface Methodology (RSM) |
title_full_unstemmed |
Shrinkage Analysis on Thick Plate Part using Response Surface Methodology (RSM) |
title_sort |
shrinkage analysis on thick plate part using response surface methodology (rsm) |
publisher |
EDP Sciences |
publishDate |
2016 |
url |
http://umpir.ump.edu.my/id/eprint/17601/ http://umpir.ump.edu.my/id/eprint/17601/ http://umpir.ump.edu.my/id/eprint/17601/ http://umpir.ump.edu.my/id/eprint/17601/1/matecconf_icongdm2016_01084.pdf |
first_indexed |
2023-09-18T22:24:24Z |
last_indexed |
2023-09-18T22:24:24Z |
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1777415869901570048 |