Intelligent determination of cutting conditions in CAPP based on ANN

Author

Zhang, Xue-Linag ; Wen, Shu-Bua

Author_Institution

Sch. of Mech. & Electr. Eng., Taiyuan Heavy Machinery Inst., China

Volume

3

fYear

2002

fDate

2002

Firstpage

1520

Abstract

Computer aided process programming (CAPP) is one of the major technologies of CIMS, and it is a key technology in realizing CAD/CAM. Cutting conditions are part of the contents in one processing card of a machinery element designed by CAPP. The intelligent determination of cutting conditions has to be solved in CAPP. After having introduced the factors of boring conditions and their coding descriptions as well as the basic theory of weight smoothing BP algorithm (SMBP) with. the annealing smoothing factor, the artificial neural network (ANN) modeling method based on the axial SMBP algorithm is presented in this paper. The modeling example about boring conditions verifies its effectiveness. The ANN model described can realize the intelligent determination of cutting conditions.

Keywords

CAD/CAM; backpropagation; computer aided production planning; computer integrated manufacturing; cutting; machining; neural nets; simulated annealing; CAD/CAM; Computer integrated manufacturing; annealing smoothing factor; backpropagation; boring; computer aided process programming; cutting conditions; machining; neural network; weight smoothing BP algorithm; Annealing; Artificial intelligence; Artificial neural networks; CADCAM; Computer aided manufacturing; Computer integrated manufacturing; Design automation; Machine intelligence; Machinery; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on

Print_ISBN

0-7803-7508-4

Type

conf

DOI

10.1109/ICMLC.2002.1167463

Filename

1167463