dc.contributor.author | Zamri, Razali | |
dc.date.accessioned | 2021-02-25T06:35:40Z | |
dc.date.available | 2021-02-25T06:35:40Z | |
dc.date.issued | 2016-06 | |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69923 | |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | This project is about research on the analysis of strength on the thick plate part (thickness of the
part is more than 3mm) using Response Surface Methodology (RSM). The objective of this
project is to improve the mechanical strength of the thick plate part from the significant
parameter by using RSM. To find the significant factor for this research, the previous journal
from other researcher were reviewed and has been conclude that melt temperature and mould
temperature were the significant factor. Therefore, to run analysis using simulation, Moldflow
Analysis Insight (AMI) 2013 was used and by using thick plate part mould design in 3D, three
analysis which is fill, fill + pack and cool (FEM) analysis were conducted. From the simulation
analysis, the suitable parameter setting is obtained and were applied to the injection moulding
machine for production of experiment parts. Four parameters were considered for variable
parameters which were mould temperature, melt temperature, packing pressure and packing
time. Analysis of Variance (ANOVA) was used to optimise the tensile strength on the thick plate
part by using RSM. It was found that the most significant factor that influenced the tensile
strength on the thick plate part was melt temperature and the tensile strength of the thick plate
part was improved by 5.52% after the optimisation. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | Thick plate part | en_US |
dc.subject | Response Surface Methodology (RSM) | en_US |
dc.subject | Thick plate part -- Analysis | en_US |
dc.subject | Strength analysis | en_US |
dc.title | Analysis of strength on the thick plate part using response surface methodology | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Shayfull Zamree, Abd Rahim, Dr. | |