Abstract
In machining process, the parameters play an important role. It is important to find out its optimal setting, which results in reduction in production cost and helps to obtain the desired product quality. Tribological behavior of surfaces is affected by various parameters, and surface roughness plays an important role. The product quality is influenced by the surface roughness up to greater extent. Mechanical properties like, fatigue and corrosion resistance, are greatly influenced by surface roughness of a part. Thus, it is also known as the measure of product quality. The objective of present paper is the optimization of process parameters for minimizing the surface roughness using the Taguchi robust technique. Three parameters, spindle speed (SS), feed rate (FR) and depth of cut (DOC), each at level three were selected and their influence on surface roughness (Ra) was analyzed. EN 9 steel was selected as work piece, and nine runs were conducted using L9 Taguchi orthogonal array. With the aid of software SYSTAT, the results generated were analyzed. From analysis of means (ANOM), the optimal combination generated is A1B2C2; also, the ANOVA results unveil that the FR significantly influenced Ra, whereas SS and DOC were found insignificant.
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Khurshid, S. et al. (2022). Effect of Turning Parameters on Surface Roughness of EN-9 Steel Using Taguchi Robust design—An Analysis. In: Natarajan, S.K., Prakash, R., Sankaranarayanasamy, K. (eds) Recent Advances in Manufacturing, Automation, Design and Energy Technologies. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-4222-7_24
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DOI: https://doi.org/10.1007/978-981-16-4222-7_24
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