Warpage optimization of a name card holder using neural network model
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 desig...
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2009
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my.ump.umpir.11722022-03-24T02:32:04Z http://umpir.ump.edu.my/id/eprint/1172/ Warpage optimization of a name card holder using neural network model Ahmad Amiruddin, Rosdi TP Chemical technology 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. 2009-11 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/1172/1/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model.pdf 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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| language |
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TP Chemical technology |
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TP Chemical technology Ahmad Amiruddin, Rosdi Warpage optimization of a name card holder using neural network model |
| description |
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. |
| format |
Undergraduates Project Papers |
| author |
Ahmad Amiruddin, Rosdi |
| author_facet |
Ahmad Amiruddin, Rosdi |
| author_sort |
Ahmad Amiruddin, Rosdi |
| title |
Warpage optimization of a name card holder using neural network model |
| title_short |
Warpage optimization of a name card holder using neural network model |
| title_full |
Warpage optimization of a name card holder using neural network model |
| title_fullStr |
Warpage optimization of a name card holder using neural network model |
| title_full_unstemmed |
Warpage optimization of a name card holder using neural network model |
| title_sort |
warpage optimization of a name card holder using neural network model |
| publishDate |
2009 |
| url |
http://umpir.ump.edu.my/id/eprint/1172/1/Warpage%20optimization%20of%20a%20name%20card%20holder%20using%20neural%20network%20model.pdf http://umpir.ump.edu.my/id/eprint/1172/ |
| _version_ |
1822915579072217088 |
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13.250246 |