DocumentCode
2845083
Title
Evolutionary Optimization of Plastic Injection Mould Cooling System Layout Design
Author
Li, C.G. ; Wu, Yuguang
Author_Institution
Sch. of Mech. Eng., HangZhou DianZi Univ., Hangzhou, China
Volume
1
fYear
2010
fDate
13-14 Oct. 2010
Firstpage
693
Lastpage
696
Abstract
The cooling system is one of the most important systems in a plastic injection mould. It affects the quality and productivity of the molded part. In this paper, we extend our previous research on the automatic plastic injection cooling system layout design to multiple inlet and outlet systems, and propose an evolutionary approach with ad hoc operators to concurrently optimize the topological connection and geometric position of a cooling system. A mixed encoding scheme is developed to encode a candidate solution, which is represented in the form of a variant-length chromosome. Ad hoc evolutionary operators and parameters adapting to the characteristics of cooling system design are devised. An experimental system is implemented to verify the feasibility of the approach, and the results of case study illustrate the validity of this approach. It can be expected this research will well facilitate the automation of plastic injection mould cooling system design.
Keywords
cooling; design engineering; genetic algorithms; injection moulding; plastics industry; ad hoc evolutionary operator; cooling system; evolutionary optimization; layout design; mixed encoding scheme; plastic injection mould; variant-length chromosome; Biological cells; Cooling; Encoding; Gallium; Genetic algorithms; Layout; Plastics; Degree of freedom (DOF); Genetic algorithm (GA); layout design automation; plastic injection mould;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-8333-4
Type
conf
DOI
10.1109/ISDEA.2010.305
Filename
5743274
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