doi: 10.7763/IJET.2011.V3.264
Grinding Process on AlSic composite material and Optimization of surface roughness by ANFIS
P. Babu Aurtherson
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- Research Scholar in the Dept. of Manufacturing Engineering, Annamalai University, Chidambaram, India
Abstract
Composite materials have been used in considerable industrial applications due to their light weight and high strength. However, the machining costs of these materials may reach high and the grinding of these materials is much more susceptible to surface damage as compared to metals. Electrolytic In- Process Dressing (ELID) grinding can be used to machine hard and brittle materials to achieve high surface quality and high material removal rate. In the present work, “the Design of Experiments” (DOE) technique is developed for five factors at three levels to conduct experiments. Experiments have been conducted for measuring surface roughness based on the DOE technique in an ELID grinding machine using a diamond wheel. The experimentally measured values are also used to train the feed forward back propagation Neuro-fuzzy for prediction of surface roughness. The ANFIS (Adaptive Neuro-Fuzzy Interference System) predictive neuro fuzzy model was found to be capable of better predictions of surface roughness.
Keywords
- ELID grinding process
- Optimization
- ANFIS
How to Cite
P. Babu Aurtherson, S. Sundaram, A. M. Shanawaz, and M. Siva Prakash, "Grinding Process on AlSic composite material and Optimization of surface roughness by ANFIS," International Journal of Engineering and Technology, vol. 3, no. 4, pp. 425-430, 2011. https://doi.org/ 10.7763/IJET.2011.V3.264
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).