01547nam a2200205 a 4500001001400000003000700014005001700021008004100038020002200079040000800101100002600109245010300135260003500238300005800273502012300331520080500454650003401259650002301293650002501316vtls000045977KUKTEM20251114204428.0100604t2009       da  f m    000 0 eng d  aTHE0007454(Local)  aUMP0 aAhmad Amiruddin Rosdi10aWarpage optimization of a name card holder using neural network model /cAhmad Amiruddin Bin Rosdi  aKuantan, Pahang :bUMP ,c2009  axvii, 77 p. :bill. (some col.) ;c30 cm. +e1 CD-ROM  aProject paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 20093 aInjection 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. 0aInjection molding of plastics 0aPlasticsxMoulding 0aFinite element model