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http://dx.doi.org/10.3795/KSME-A.2003.27.6.1020

The Optimization of Injection Molding System Using Axiomatic Approach  

Kim, Jong-Hun (연세대학교 대학원 기계공학과)
Lee, Jong-Soo (연세대학교 기계공학부)
Cha, Sung-Woon (연세대학교 기계공학부)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.27, no.6, 2003 , pp. 1020-1027 More about this Journal
Abstract
A traditional mold design has been conducted by an experience-based trial and error, whereby the mold designer would decide the gate locations and processing conditions based on the caring characteristics and its functional requirements. The paper suggests an optimal gate location and processing conditions in the injection molding using a global search method referred to as micro genetic algorithm( ${\mu}$ GA). ${\mu}$ GA yields the optimal solution with a small size of population without respect to design variables for saving time that is needed to calculate the fitness of many individuals. Due to the reason, the paper uses a commercial analysis package of injection molding(CAPA) to analysis a state of flux. In addition to that, axiomatic approach .is applied in the beginning of design. It is a useful method to draw a well-organized and reasonable idea to handle a problem.
Keywords
Micro Genetic Algorithm; Evolutionary Computing; Injection Molding; Runner System; Axiomatic Approach; Functional Requirement; Design Parameter;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
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