DocumentCode
2279060
Title
The Optimum Method on Craft Parameters of Plastic Injection Based on Synthesis Relation Degree and Ant Colonies Algorithm
Author
Huang Fengli ; Xu Jinhong ; Gu Jinmei
Author_Institution
Jiaxing Univ., Jiaxing, China
Volume
3
fYear
2010
fDate
13-14 March 2010
Firstpage
929
Lastpage
932
Abstract
Aiming at two quality factors (warpage quantity and shrinkage rate) of the plastic injection process, the optimum method on craft parameters of plastic injection based on synthesis relation degree, Kriging model and adaptive genetic-ant colonies algorithm is provided. The definition and calculation method of synthesis relation degree are given at first, and the approximate model based on Kriging model and genetic-ant colonies algorithm are given also. In the case study of plastic injection of fruit plate, the range of craft parameters and the deciding method of design variables based on orthogonal experiment are given, then the approximate model is gotten by Hyper-Latin square experiment and Kriging method, the optimum result is gotten by genetic-ant algorithm. According to the CAE and actual experiment of plastic injection, it shows that the optimum result of plastic injection is reliability, and has good practical meaning.
Keywords
computer aided engineering; genetic algorithms; injection moulding; production engineering computing; statistical analysis; CAE; Hyper-Latin square experiment; Kriging model; craft parameters; fruit plate; genetic ant colony algorithm; plastic injection; quality factors; shrinkage rate; warpage quantity; Algorithm design and analysis; Automation; Design optimization; Genetic algorithms; Injection molding; Mechatronics; Network synthesis; Neural networks; Plastics; Response surface methodology; ant colonies algorithm; fuzzy chance constrained; fuzzy simulated;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location
Changsha City
Print_ISBN
978-1-4244-5001-5
Electronic_ISBN
978-1-4244-5739-7
Type
conf
DOI
10.1109/ICMTMA.2010.408
Filename
5458666
Link To Document