Original scientific paper
https://doi.org/10.17559/TV-20170312080257
Multi Criteria Optimization Approach for Dressing of Vitrified Grinding Wheel
M. A. K. Chowdhury
; Industrial Engineering Department, King Saud University, P.O. Box 800, Riyadh 11421, Kingdom of Saudi Arabia
Ateekh Ur Rehman
; Industrial Engineering Department, King Saud University, P.O. Box 800, Riyadh 11421, Kingdom of Saudi Arabia
M. S. Uddin
; School of Engineering, University of South Australia, Adelaide, Australia
Mohammed Alkahtani
; Industrial Engineering Department, King Saud University, P.O. Box 800, Riyadh 11421, Kingdom of Saudi Arabia
Saqib Anwar
orcid.org/0000-0003-2657-163X
; Industrial Engineering Department, King Saud University, P.O. Box 800, Riyadh 11421, Kingdom of Saudi Arabia
Abstract
Rotary diamond dressers are widely used for the dressing to improve the efficiency of vitrified grinding wheel. The paper focuses on the process parameters, i.e., feed speed of dresser, depth of cut, grinding wheel velocity, velocity ratio between grinding wheel and rotary dresser, number of pass and dressing method (up-cut or down-cut) in rotary diamond dressing. The objective is to investigate the effect of these process parameters with their interactions for two response parameters, dressing ratio and overlapped dressed area. As far as the response parameters are concerned, the goal is to maximize dressing ratio and minimize overlapped dressed area simultaneously. Thirty-six experiments were designed and performed. Analysis of variance and multi-criteria optimization approach are opted to find out significant process parameters and optimal parameter setting. Finally, the significant process parameters, dressing method and number of pass are identified as well and the optimal parameter setting is also determined.
Keywords
grey relational grade; multi-criteria decision approach; rotary diamond dressing; signal to noise ratio
Hrčak ID:
205918
URI
Publication date:
22.9.2018.
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