Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69707
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mohammad ‘Amir ‘Izzat, Mohd Fadzil | - |
dc.contributor | School of Manufacturing Engineering | en_US |
dc.date.accessioned | 2021-02-15T04:24:21Z | - |
dc.date.available | 2021-02-15T04:24:21Z | - |
dc.date.issued | 2016-06 | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69707 | - |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | This paper describes the simulation work on how to reduce warpage in injection molding. Work simulation consists of three phases mold flow analysis,Response Surface Methodology (RSM) and Bat Algorithm (BA) analysis.For all the simulation work will involve a program called Mould Autodesk Insight (AMI) for most flow analysis and the Response Surface Methodology (RSM) will use the Design Expert software, ANOVA tables and analysis optimal setting, whileBat Algorithm method will be used Matlab software. This study also define parameters to be used after it was satisfactory and determine the general number.This project is to compare the methods by which better between Response Surface Methodology andBat Algorithm. The results between the two methods will determine better methods to reduce warpage in injection molding process. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | Warpage | en_US |
dc.subject | Injection molding | en_US |
dc.subject | Bat Algorithm (BA) | en_US |
dc.subject | Response Surface Methodology (RSM) | en_US |
dc.title | Optimization of injection moulding process using Bat Algorithm through simulation study | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Mohd Sazli, Saad, Dr. | - |
Appears in Collections: | School of Manufacturing Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Abstract,Acknowledgement.pdf | 127.58 kB | Adobe PDF | View/Open | |
Introduction.pdf | 247.17 kB | Adobe PDF | View/Open | |
Literature Review.pdf | 588.46 kB | Adobe PDF | View/Open | |
Methodology.pdf | 1.65 MB | Adobe PDF | View/Open | |
Results and Discussion.pdf | 472.85 kB | Adobe PDF | View/Open | |
Conclusion and Recommendation.pdf | 48.99 kB | Adobe PDF | View/Open | |
Refference and Appendics.pdf | 1.95 MB | Adobe PDF | View/Open |
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