Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1167463
