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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | 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/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|