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Analysis and optimization of the process parameters on surface roughness in ball burnishing of AISI O2 hardened steel

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Abstract

In this study, analysis and optimization of the machining parameters on the surface roughness in the ball burnishing process of AISI O2 hardened steel have been performed. The initial surface roughness value, ball diameter, burnishing force, burnishing speed, and burnishing feed were considered control factors, and Taguchi’s L36 orthogonal array was employed to reduce the number of experiments. The response surface methodology (RSM) was used to develop a mathematical prediction model of the surface roughness in terms of the above parameters and to analyze interactions among the control factors as well. Additionally, analysis of variance (ANOVA) was applied to determine the significance of each burnishing parameter. The gray wolf optimization (GWO) algorithm, a relatively new bio-inspired algorithm, was introduced in the second part of the paper to obtain the optimum control factors of the ball burnishing process. Confirmation experiments were performed to verify identified optimal level of the burnishing parameters and to demonstrate the effectiveness of the GWO algorithm for the optimization of machining problems.

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Authors and Affiliations

  1. Faculty of Mechanical Engineering, University of Banja Luka, Banja Luka, Bosnia and Herzegovina

    Djordje Cica

  2. Faculty of Mechanical Engineering, University of Ljubljana, Ljubljana, Slovenia

    Davorin Kramar

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Cica, D., Kramar, D. Analysis and optimization of the process parameters on surface roughness in ball burnishing of AISI O2 hardened steel. Int J Adv Manuf Technol 128, 345–356 (2023). https://doi.org/10.1007/s00170-023-11910-3

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