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  1485      Downloads  58
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.
Kumar, P., Oberoi, J. S., Singh, C., & Dhiman, H., (2014). Analysis and optimization of parameters affecting surface roughness in boring process. International Journal of advanced Mechanical Engineering, 4 (6), 647-655.
Moghri, M., Madic, M., Omidi, M., & Farahnakian, M., (2014). Surface roughness optimization of polyamide-6/nanoclay nanocomposites using artificial neural network: genetic algorithm approach. The Scientific World Journal, Hindawi Publishing Corporation, ID 485205, 1-7.
Sangwan, K. S., Saxena, S., & Kant, G., (2015). Optimization of machining parameters to minimize surface roughness using integrated ANN-GA approach. The 22nd CIRP Conference on Life Cycle Engineering, 305-310, available at: www.sciencedirect.com.
Marimuthu, P., Kannan, T. T. M., & Saravanan, S., (2015). Experimental investigation and design optimization of micro drilling process parameters of austenitic stainless steel (Aisi 316) sheets by doe concepts. IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), 12 (5), 24-28, doi: 10.9790/1684-12552428.
Tamang, S. K., & Chandrasekaran, M., (2015). Modelling and optimization of parameters for minimizing surface roughness and tool wear in turning AL/SiCp MMC, using conventional and soft computing techniques. Advances in Production Engineering & Management, 10 (2), 59-72, http://dx.doi.org/10.14743/apem2015.2.192.
Sumesh, A. S., & Melvin, E. S., (2016). Optimization of drilling parameters for minimum surface roughness using Taguchi method. IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) at International Conference on Emerging Trends in Engineering & Management (ICETEM), 12-20.
Alagarsamy, S. V., Sagayaraj, S. A. V., & Raveedran, P., (2016). Optimization of drilling process parameters on surface roughness and material removal rate by using Taguchi method. International Journal of Engineering Research and General Science, 4 (2), 290-298.
Ramnath, B. V., Sharavanan, S., & Jeykrishnan, J., (2017). Optimization of process parameters in drilling of fibre hybrid composite using Taguchi and grey relational analysis. IOP Conf. Series: Materials Science and Engineering (183), 012003, doi:10.1088/1757-899X/183/1/012003.
Nurhaniza, M., Ariffin, M. K. A. M., Mustapha, F., & Baharudin, B. T. H. T., (2016). Analysing the effect of machining parameters setting to the surface roughness during end-milling of CFRP-Aluminium composite laminates. International Journal of Manufacturing Engineering, ID: 4680380, 1-9, available at: http://dx.doi.org/10.1165/2016/4680380.
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