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ANN-based approaches for CAPP

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4 Author(s)
Wang Xiankui ; Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084 ; Pu Jian ; Wu Dan ; Xu Zhongxin

Since existing computer aided process planning (CAPP) systems have shortcomings such as difficult knowledge-acquisition, low intelligence level, weak optimization capability, etc., the application of artificial neural networks (ANN) may significantly increase CAPP capabilities. Since ANN is self-learning, ANN has remarkable advantages in representing and acquiring of technical knowledge (especially that which is difficult to symbolize). In addition, since many procedures in CAPP are essentially optimization, ANN's combinatorial optimization capability can be very useful. Both of these aspects of applying ANN to CAPP are described using an example which deals with process planning for machining of mechanical components.

Published in:

Tsinghua Science and Technology  (Volume:1 ,  Issue: 2 )