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Optimization of Turning Parameters to Improve Surface Roughness and Material Removal Rate of AA 7XXX: A Taguchi Approach

Zahid Hasan, Md. Mosharraf Hossain

Abstract


In modern CNC (Computer Numerical Controlled) manufacturing, MRR (Material Removal Rate) is a major perturbation in the age of mound production. Additionally, the product's strength and surface finish are also important in judging quality. A high-quality surface finish guarantees the product's quality. By using the Taguchi approach, it is examined how machining factors influence the rate of MRR during the turning process and Ra. In this study, the Rotational Speed, Feed Rate, Number of Passes, and Depth of Cut are the four parameters for which the Taguchi method of L9 (34) Orthogonal Array has been used. On AA 7XXX, the turning parameters for maximizing of MRR and minimization of Ra have been performed at three distinct levels for each of these parameters. Carbide insert has been used for this experiment. In order to ascertain the fusion of ideal cutting parameters, the Ra and MRR are observed. The results of this investigation support the orthogonal array-based optimization strategy proposed in this paper for the lowest Ra and maximized MRR. A predictive equation for calculating Ra and MRR in CNC turning with a given set of parameters was also established by this study. Thus, in an automated manufacturing environment, it is possible to improve the effectiveness of the cutting process and reduce production costs by using the suggested optimal settings.

Cite as

Zahid Hasan, & Dr. Md. Mosharraf Hossain. (2022). Optimization of Turning Parameters to Improve Surface Roughness and Material Removal Rate of AA 7XXX: A Taguchi Approach. Recent Trends in Production Engineering, 5(2), 1–11. https://doi.org/10.5281/zenodo.7064692


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References


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