Original scientific paper
https://doi.org/10.30765/er.1511
Improving the process performance of magnetic abrasive finishing of SS304 material using multi-objective artificial bee colony algorithm
Sandip B. Gunjal
; K. K. Wagh Institute of Engineering Education and Research, Department of Production Engineering
Padmakar J. Pawar
; K. K. Wagh Institute of Engineering Education and Research, Department of Production Engineering
Abstract
Magnetic abrasive finishing is a super finishing process in which the magnetic field is applied in the finishing area and the material is removed from the workpiece by magnetic abrasive particles in the form of microchips. The performance of this process is decided by its two important quality characteristics, material removal rate and surface roughness. Significant process variables affecting these two characteristics are rotational speed of tool, working gap, weight of abrasive, and feed rate. However, material removal rate and surface roughness being conflicting in nature, a compromise has to be made between these two objective to improve the overall performance of the process. Hence, a multi-objective optimization using an artificial bee colony algorithm coupled with response surface methodology for mathematical modeling is attempted in this work. The set of Pareto-optimal solutions obtained by multi-objective optimization offers a ready reference to process planners to decide appropriate process parameters for a particular scenario.
Keywords
magnetic abrasive finishing; surface roughness; material removal rate; response surface methodology; multi-objective artificial bee colony algorithm
Hrčak ID:
244794
URI
Publication date:
27.9.2021.
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