Application of neural network in precision prediction of hat-section profiles in rotary draw bending

J Mater Sci Technol ›› 2001, Vol. 17 ›› Issue (01): 137-138.

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Application of neural network in precision prediction of hat-section profiles in rotary draw bending

Xuechun LI, Yyying YANG, Zhaohai JIN, Junting LIU, Shunping LI

National Key Laboratory of Precision Hot Processing of Metals, Harbin Institute of Technology, Harbin 150001, China...

Received:2000-04-05 Revised:1900-01-01 Online:2001-01-28 Published:2009-10-10
Contact: Xuechun LI

Abstract

Abstract: It is difficult to control the accuracy of hat-section profile rotary-draw bent products because their shapes are complex and many factors influence the forming process. In this paper, a multi-layer feed-forward neural network based on improved BP (back propagation) algorithm is adopted to study the influence law of the main material properties and forming parameters on the accuracy of hat-section profile forming process. Rotary draw-bending precision prediction is realized and the technology parameters in the forming process are controlled according to the given precision.

Key words:

Xuechun LI, Yyying YANG, Zhaohai JIN, Junting LIU, Shunping LI. Application of neural network in precision prediction of hat-section profiles in rotary draw bending[J]. J Mater Sci Technol, 2001, 17(01): 137-138.

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Application of neural network in precision prediction of hat-section profiles in rotary draw bending

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