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Modelling of Cutting Parameters in Turning Operation to Enhance Surface Quality

	International Journal of Recent Engineering Science (IJRES)
	© 2018 by IJRES Journal
	Volume-5 Issue-3
	Year of Publication : 2018
	Authors : Kpina, B. Charles, and H. U. Nwosu
	DOI :    10.14445/23497157/IJRES-V5I3P104

Citation 

MLA Style :Kpina, B. Charles, and H. U. Nwosu  "Modelling of Cutting Parameters in Turning Operation to Enhance Surface Quality" International Journal of Recent Engineering Science 5.3(2018):17-23. 

APA Style :Kpina, B. Charles, and H. U. Nwosu, Modelling of Cutting Parameters in Turning Operation to Enhance Surface Quality.  International Journal of Recent Engineering Science, 5(3),17-23.

Abstract
In order to obtain the desired surface quality by machining, proper machining parameter selection is essential. This research paper presents an experimental study of roughness characteristics of the surface profile generated in turning of AISI 1040 mild steel using a NAGMATI-175 lathe machine. Machining was done using high-speed steel, and a dry turning process was used. The study aims at the modeling of machining parameters in turning operations to enhance surface quality. The objective was to develop a multiple regression model for the prediction of surface roughness parameter, Ra. and to avoid "trial and error" approaches in setting up machining conditions in order to achieve the desire surface quality. The Taguchi method was used for the experimental design, in which the L27 orthogonal array was selected. The multiple regression model was developed using the Regression Analysis technique in the program software, MatLab 7.5 and the average error rate of the model developed with the experimental data is within 2.8%. Besides, the developed response surface model for Rawas checked by using residual analysis. Analysis using S/N and ANOVA were performed to find the optimum level and percentage of contribution of each parameter. Analysis of Variance (ANOVA) technique in the program software Minitab 16 was used to examine the impact of cutting parameters on surface roughness. The result reveals that the combination that gives the optimum condition of better surface finish is feed rate of level 1 (0.10mm/rev), spindle speed of level 3 (900rpm), depth of cut at level 1 (0.5mm), and nose radius at level 1 (0.6mm).

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Keywords
Machining, Surface roughness, Dry turning, Taguchi method, Regression analysis (RA).