01816nam a2200253 a 4500 vtls000045977 KUKTEM 20251114204428.0 100604t2009 da f m 000 0 eng d THE0007454(Local) 201905161149 fawwaz 201204051142 Fida 201107132323 VLOAD 201006040843 Fida UMP TP1150 .A45 2009 rs Bc. Ahmad Amiruddin Rosdi Warpage optimization of a name card holder using neural network model / Ahmad Amiruddin Bin Rosdi Kuantan, Pahang : UMP , 2009 xvii, 77 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Mechanical Engineering with Manufacturing Engineering) -- Universiti Malaysia Pahang - 2009 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. Injection molding of plastics Plastics Moulding Finite element model 0 0 0 1 20000 20000 2019-09-04 0 TP1150 .A45 2009 rs Bc. 0000046311 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 4456 | TP1150 .A45 2009 rs Bc. 0000046312 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 1863 1869 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5200*6500*6501*6502*9992