DocumentCode
1979327
Title
Knowledge-based stamping direction optimization for auto-body panel workpiece
Author
Xiang, Huiyu ; Leng, Chongjie ; Hu, Demao
Author_Institution
Sch. of Mater. & Mech. Eng., Beijing Technol. & Bus. Univ., Beijing, China
fYear
2011
fDate
16-18 Sept. 2011
Firstpage
3958
Lastpage
3961
Abstract
This paper developed a module system which can automatically determine the stamping direction of the sheet metal part in UG system based on the three-dimensional digital model of the product. According to the knowledge and expertise of mould design the principle of the stamping direction is determined and thus the fundamental mathematical model is established. Using advanced optimization algorithms and programming techniques to process of the mathematical model, and performing a comprehensive analysis for the solving results, the feasible region of the stamping direction is found, and thus can in the feasible region to establish an optimal stamping direction. The use of secondary development technology to develop the software module with the similar UG software user interface, easy operation, to achieve the automation of the stamping direction determination, can improve the efficiency and quality of mold design significantly.
Keywords
CAD; automotive components; knowledge based systems; metal stamping; moulding; optimisation; production engineering computing; sheet metal processing; structural panels; user interfaces; UG software user interface; auto-body panel workpiece; fundamental mathematical model; knowledge based stamping direction optimization; mold design quality; programming techniques; secondary development technology; sheet metal part; software module; three-dimensional digital model; Materials; Mathematical model; Metals; Optimization; Pressing; Resistance; Software; Knowledge based engineering; computer-aided design; optimization; sheet metal forming;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8162-0
Type
conf
DOI
10.1109/ICECENG.2011.6057350
Filename
6057350
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