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Optimization of Cutting Parameters in Surface Roughness for Machining Stainless Steel

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Abstract:

In this study, Taguchi-L18 design is applied to cut AISI 304 stainless steels based on surface roughness under the effects of main control factors through un-coated carbide (K10 grade) and TiAlN coated carbide. The orthogonal array and analysis of variance are utilized to examine the performance characteristic when turning steel bars. A linear regression analysis is carried out to find out the relationship between input parameters and output. In addition, the chips are collected by both cutting inserts to see the morphology. The experimental results indicated that optimal levels were determined at 190 m/min speed, 0.076 m/rev. feed rate, 1.4 mm depth of cut when used TiAlN coating insert for surface roughness. Pareto chart and analysis of variance results revealed that feed rate was dominant, followed by coated tool and cutting speed in analyzing the surface roughness, but the coating was more effective than that of the speed. Further, it was concluded that correlation coefficients were around 93.8% for output. Confirmation tests were provided by Taguchi method and regression analysis. Moreover, the chips collected by TiAlN carbide inserts showed long narrow chips, leading to lower surface roughness because of obtaining the lowest feed rate/moderate speed and insert hardness in addition to providing the larger chip radius and chip length.

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Periodical:

Key Engineering Materials (Volume 1033)

Pages:

35-45

DOI:

https://doi.org/10.4028/p-V6JZcE

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Online since:

November 2025

Authors:

Yusuf Şahin*, Ahmet Saygın Öğülmüş

Keywords:

Chips, Cutting Speed, Feed Rate, Optimization, Stainless Steel, Surface Roughness, Taguchi Analysis, TiAlN Tool

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© 2025 Trans Tech Publications Ltd. All Rights Reserved

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