Ahmad Amiruddin, Rosdi (2009) Warpage optimization of a name card holder using neural network model. Faculty of Mechanical Engineering, UNIVERSITI MALAYSIA PAHANG.
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Abstract
Injection molding has become widely process that used in plastic manufacturing. To produce high quality product, it has to consider the process condition. In this study, optimum parameters for injection molding of a name card holder are determined. Finite element software MoldFlow, statistical design of experiment and artificial neural network are used in finding optimum value. The process parameter influencing warpage is determined using finite element software based on data using full factorial design. By exploiting finite element analysis result, a predictive model using artificial neural network is created. Optimum value is determined by comparing result by using finite element analysis and optimization using artificial neural network and choose the smallest percentage of error.
| Item Type: | Undergraduates Project Papers |
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| Additional Information: | Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009, SV: Mr. Rosdi B Daud |
| Uncontrolled Keywords: | Injection moulding of plastics; Plastics; Moulding; Finite element model |
| Subjects: | T Technology > TP Chemical technology |
| Faculty/Division: | Faculty of Mechanical Engineering |
| Depositing User: | nurudin nasir |
| Date Deposited: | 03 Mar 2011 06:22 |
| Last Modified: | 24 Mar 2022 02:32 |
| URI: | http://umpir.ump.edu.my/id/eprint/1172 |
| Download Statistic: | View Download Statistics |
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