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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ahmad Amiruddin, Rosdi
التنسيق: Undergraduates Project Papers
اللغة:English
منشور في: 2009
الموضوعات:
الوصول للمادة أونلاين: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/
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الوصف
الملخص: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.