What is it about?

This paper presents a study of the development of a surface roughness model for turning of mild steel with coated carbide tools. The model is developed in terms of cutting speed, feed rate and depth of cut, using response surface methodology. Machining tests were carried out with TiN-coated carbide cutting tools under various cutting conditions. First-order and second-order model predicting equations for surface roughness have been established by using the experimental data.

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Why is it important?

The aim of the present study was, therefore, to develop the surface roughness prediction model of AISI1040 mild steel with the aid of statistical method, using coated carbide cutting tools under various cutting conditions. By using response surface methodology and 23 factorial design of experiment, first and second-order models have been developed with 95% confidence level.


The established equation shows that the feed rate was main influencing factor on the surface roughness. It increased with increasing the feed rate but decreased with increasing the cutting speed and the depth of cut, respectively. In addition, analysis of variance for the second-order model shows that the interaction terms and the square terms are statistically insignificant. The predicted surface roughness of the samples has been found to lie close to that of the experimentally observed ones with 95% confident intervals. Moreover, it is seen that the first-order effect of feed rate and cutting speed is significant while depth of cut is insignificant.

Prof.Dr. Ali Riza Motorcu
Canakkale Onsekiz Mart Universitesi

Read the Original

This page is a summary of: Surface roughness model for machining mild steel with coated carbide tool, Materials & Design (1980-2015), June 2005, Elsevier,
DOI: 10.1016/j.matdes.2004.06.015.
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