Grinding mode identification and surface quality prediction using neural network in grinding of silicon nitride

International Journal of the Japan Society for Precision Engineering

Volumn 30, Issue 1, 1996, Pages 35-40

  Zouaghi, Nadhmi ^a   Ichida, Yoshio ^a   Zouaghi, Naoufel ^a  

^a UTSUNOMIYA UNIVERSITY   (Japan)

Author keywords

Ductile brittle transition; Grinding mode identification; Grinding of silicon nitride; Neural network; Surface quality prediction

Indexed keywords

EID: 0008655981     PISSN: 0916782X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. T. Nakajima et al.: Neuro & Fuzzy in Process Control Grinding Techniques - Study on Intelligent Automation of Grinding Process (3rd report)-, J. JSPE,59,8 (1993) 1313 (in Japanese).
2. N. Zouaghi et al.: Ductile Regime Grinding of Sintered Sialon, Progress of Cutting and Grinding, First China-Japan International Conference on Progress of Cutting and Grinding, Beijing, (1992) 193.
3. H. K. Tönshoff et al.: Modelling and Simulation of Grinding Process,Annals of the CIRP,41/2 (1992) 677.
4. Y. Ichida et al. : Study on Mirror Finish Grinding of Fine Ceramics (1st report ) - Fundamental Consideration on Mechanism of Surface Generation-, J. JSPE, 57,8 (1991) 1406 (in Japanese).
5. S. E. Fahlman : An Empirical Study of Learning Speed in Back - propagation Networks, Technical Report CMU-CS, Carnegie Mellon University, (1988) 162.