TY  - BOOK
AU  - Ahmad Amiruddin Rosdi
TI  - Warpage optimization of a name card holder using neural network model
SN  - THE0007454(Local)
PY  - 2009///
CY  - Kuantan, Pahang
PB  - UMP
KW  - Injection molding of plastics
KW  - Plastics
KW  - Moulding
KW  - Finite element model
N1  - Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009
N2  - 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
ER  -