The purpose of this paper is to analyze and optimize the roller burnishing process parameters using the design of experiments and grey relational analysis (GRA).Design/methodology/approachIn this experimental work, the carbide burnishing tool has been selected for the machining of AISI-1040 high carbon steel to get better product quality and satisfactory machining characteristics. The material surface condition while machining, burnishing tool speed, feed rate, depth of penetration and No. of passes have been selected as process constraints to conduct experimental trials.FindingsThe surface roughness (SR) and surface hardness were considered as output responses. The experimental outcomes optimized by multi-parametric optimization showed considerable improvement in the process. The roller speed and number of passes are the most significant parameters for surface hardness, whereas the surface condition and roller penetration depth have the most significance on SR.Research limitations/implicationsThe GRA method shows the 0.03376 improvement in grey relational grade between the experimental values and the predicted values.Practical implicationsThe experimental outcomes optimized by multi-parametric optimization showed the considerable improvement in the process and will facilitate steel industries to enhance and improve productivity while burnishing high carbon steel (AISI-1040).Originality/valueThis research represents valid work, and the authors have no conflict of interests.
Grey Systems: Theory and Application – Emerald Publishing
Published: Sep 30, 2019
Keywords: Taguchi method; Multi-parametric optimization; AISI-1040 steel; Burnishing process; Carbide tool; Grey relational analysis method; Surface hardness