Title :
The fuzzy-nets based approach in optimization of machining processes
Author :
Chang, Ted C. ; Chen, Joseph C.
Author_Institution :
Dept. of Ind. Educ. & Technol., Iowa Univ., Iowa City, IA, USA
Abstract :
In this research, a self-organizing fuzzy-nets optimization (FNO) system is developed to generate a knowledge bank that can show the required cutting power to be on-line for a short length of time in an NC verifier. The FNO system requires a self-learning procedure consisting of five steps. A generic system consisting of a fuzzification module and a defuzzification module is implemented to perform the procedure
Keywords :
computerised numerical control; cutting; fuzzy control; fuzzy neural nets; machining; numerical control; optimisation; self-adjusting systems; self-organising feature maps; NC verifier; cutting power; defuzzification module; fuzzification module; fuzzy-nets based approach; knowledge bank; machining processes optimisation; numerical control verifier; self-learning procedure; self-organizing fuzzy-nets optimization; CADCAM; Computer aided manufacturing; Computer numerical control; Feeds; Machining; Milling; Power system modeling; Predictive models; Production; Programming profession;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3026-9
DOI :
10.1109/IECON.1995.484154
