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008 090722t2008 my a f m 000 0 eng|d
020 _aTHE0007477(Local)
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_bfawwaz
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_zida84
040 _aUMP
090 _aTP1150 .Z85 2008 rs Bc.
100 0 _aZul Amri A. Bakar
245 1 0 _aBenchmarking of the actual injection of the product versus plastic simulation software /
_cZul Amri A. Bakar
246 3 _aBenchmarking of the actual injection of the product versus plastic simulation software
_h[electronic resource]
260 _aKuantan, Pahang :
_bUMP,
_c2008
300 _a44 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 computer disc
502 _aProject paper (Bachelor of Mechanical Engineering with Manufacturing) -- Universiti Malaysia Pahang - 2008
520 3 _aThe idea of this project, benchmarking of the actual injection of the product versus plastics simulation software is to do analysis of the parameters that involved in the plastic injection molding in order to determine the best solution to overcome the problems and defects that occurred in the plastic injection molding. By actual injection processes, the results that can be observed are limited such as temperature, stress and the point of gate that are almost impossible to be analyzed by naked eye. Thus, for such details information the engineer can depend on Computer Aided Engineer (CAE) or Computer Aided Manufacturing (CAM) tools such as in this case Moldflow, in generating the accurate data of the parameter that has been analyzed. The tools are capable in assisting the designation of the mold and the parts that need to be produced by generates the data that cannot be achieved by doing the actual experiments. Hence, actual injection analysis needs quite a lot of effort to determine the optimal parameters for the injection process by experienced expertise. Try and error method was traditional way in injecting the part into fine product which consumed a lot of time and energy as well as increase the production cost. The result between software simulation and the actual injection might have slight differences because of several factors. The factors can be determined by doing both analyses and comparing the result will generated the data of error percentage of the simulation software to actual injection as same as factors of the errors.
650 0 _aManufacturing processes
650 0 _aInjection molding of plastics
999 _aVIRTUA40
_c1211
_d1217
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