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URN etd-0816106-145121 Statistics This thesis had been viewed 3329 times. Download 2075 times. Author Chien-Lin Chan Author's Email Address No Public. Department Mechanical Engineering Year 2005 Semester 2 Degree Master Type of Document Master's Thesis Language Chinese&English Page Count 196 Title Cooling Channels Location Optimization of Injection Molding Using Integration of Moldflow and Genetic Algorithm Keyword Cooling channel Optimization Injection molding Genetic algorithm Genetic algorithm Injection molding Optimization Cooling channel Abstract The cooling channels design for injection molding usually depends on the designer’s experiences or the process of trial-and-error. Even though the designer could find out the design fitting the requirements through several trials, it still cannot guarantee that the results are good enough specially for high precision component or complicated sharp product.
In recently years, the computer-aided engineering (CAE) has been generally applied in product development for various fields. It contributes for enhancing design ability of complicated and high precision product. The purpose of this study is to find out the optimal arrangement of cooling channels of injection molding by integration of the genetic algorithms for optimization search and the Moldflow software for injection molding analysis.
In order to verify the architecture and performance of optimization program using genetic algorithms (GA), several test functions are utilized to check the accuracy and execution efficiency of developed program. Then the developed GA program was integrated with Moldflow software in optimization of cooling channels location. From the results of two case studies, it was shown that the cooling channels design system implemented in this study could offer designer with different options in selection the arrangement of cooling channels for injection molding. The developed architecture can enhance the design efficiency of cooling channels, upgrade product quality, lower development cost and increase economic benefits.
Advisor Committee Chun-Yin Wu - advisor
Ching-Hsiung Hsieh - co-chair
Chung-Chih Tai - co-chair
Files Date of Defense 2006-07-24 Date of Submission 2006-08-16