Conclusions

• The proposed CAPP methodology takes in as input the attributes of the features and automatically generates all the feasible alternatives for machining the feature in order of preference after taking their relative costs into consideration.
• Some advantageous features of the neural network based CAPP methodology as against the knowledge based approach are:
• Its efficient knowledge acquisition capability owing to its ability to implicitly derive the rules from sample machining cases presented to the neural network
• Its capability to generalize beyond the original machining cases to which it is exposed during the training and face intermediate situations with reasonably good accuracy with respect to those proposed during the training
• High processing speed once the neural network is trained.