Volume 2, Issue 6, December 2017, Page: 83-86
On Comparative Analysis of Measure of Indifference of Process Parameters in Minimizing Surface Roughness of Drilling Mild Steel, Stainless Steel and Brass
Raimi Oluwole Abiodun, Department of Mechanical Engineering, Federal University of Technology, Akure, Nigeria
Tanimola Babatunde Adedoyin, Mechanical Engineering Department, Rufus Giwa Polytechnic, Owo, Nigeria
Received: Oct. 8, 2017;       Accepted: Oct. 18, 2017;       Published: Nov. 20, 2017
DOI: 10.11648/j.ajetm.20170206.12      View  1863      Downloads  82
The use of optimal parameter values in an experimental investigation for minimizing surface roughness has always been the design trend of many machining operation without checking the variation levels of the process parameters if it has any measure of significant difference or not in minimizing surface roughness of the workpiece. The study carried out a comparative analysis between low, intermediate and high level of cutting speed, feed, depth of cut and tool on mild steel, stainless steel and brass using one-way ANOVA approach with the aid of statistical package for social sciences (SPSS), version 17 based on drilling operation. The findings revealed that there were no statistically significant differences between the levels for the respective workpiece in minimizing surface roughness. The result implies that the low, intermediate and high level plays equal contributing effect in minimizing surface roughness in drilling mild steel, stainless steel and brass. The study concludes that preference should not only be given to a particular level in an experimental investigation because minimum surface roughness can be achieved at any level which we might least expected.
Indifference, Process Parameters, Minimizing, Surface Roughness, Drilling
To cite this article
Raimi Oluwole Abiodun, Tanimola Babatunde Adedoyin, On Comparative Analysis of Measure of Indifference of Process Parameters in Minimizing Surface Roughness of Drilling Mild Steel, Stainless Steel and Brass, American Journal of Engineering and Technology Management. Vol. 2, No. 6, 2017, pp. 83-86. doi: 10.11648/j.ajetm.20170206.12
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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