© 2018, IJCERT All Rights Reserved https://doi.org/10.22362/ijcert/2018/v5/i5/v5i502 141 International Journal of Computer Engineering in Research Trends Multidisciplinary, Open Access, Peer-Reviewed and fully refereed Research Paper Volume-5, Issue-5 ,2018 Regular Edition E-ISSN: 2349-7084 Experimental Study of the Effects of Machining Parameters on the Surface Roughness in the Turning Process Vikas B. Magdum 1* , Dr. Vinayak R. Naik 2 1* Assistant Professor, Department of Mechanical Engineering, D. K. T. E. Society’s Textile and Engineering Institute, Ichalkaranji, Maharashtra, India, 416115 2 Professor and Head, Department of Mechanical Engineering, D. K. T. E. Society’s Textile and Engineering Institute, Ichalkaranji, Maharashtra, India, 416115 e-mail: vbmagdum@rediffmail.com, vrnaik66@gmail.com *Corresponding Author: vbmagdum@rediffmail.com Available online at http://www.ijcert.org Received: 07/May/2018, Revised: 08/May./2018, Accepted: 15/May/2018, Published: 17/May/2018 Abstract: - In this work, experiments are carried out to study the effect of cutting parameters cutting speed, feed rate, and depth of cut on surface roughness during dry turning of 40C8. The objective of this study is to build multiple regression models for a better understanding of the effects of spindle speed, feed and depth of cut on the surface roughness. Full factorial design of experiments corresponding to trials was followed for the experimental design. Analysis of variance determines the contribution of each factor on the output. It is found that feed rate is the most influencing parameter affecting the surface roughness (44.13%) and is followed by cutting speed and depth of cut. The developed predicted model, which includes the effect of spindle speed, feed rate an extent h decrease t and any two-variable interactions, gives an accuracy of about 91.91 %. This study is helpful for understanding and controlling effect of cutting parameters on the surface finish of machined surfaces in dry turning operation. Keywords: Surface Finish; ANOVA; Regression, Surface Roughness; Turning, SN ratio. ------------------------------------------------------------------------------------------------------------------------------------------------------- 1. Introduction Nowadays, due to the increasing demand for higher precision components for its functional applications, the surface roughness of a machined part plays a vital role in the modern manufacturing process. Turning is a machining operation, which is carried out on the lathe. The quality of the surface decides the performance of turning. Fatigue strength, corrosion resistance and creep life significantly improve by a good quality turned surface. Surface roughness also affects several functional attributes of parts, such as contact causing surface friction, wearing, light reflection, heat transmission, the ability to distribute and holding a lubricant, load-bearing capacity, coating or resisting fatigue. Therefore, it is necessary to select the appropriate processes to reach the required quality and is usually specified by desired finish surface. A good predictive model is required to achieve the desired surface finish, for stable machining. Generally, these models have a complicated relationship between surface roughness and cutting parameters [1]. Effects of cutting speed, feed rate and depth of cut on surface roughness were investigated by applying the statistical methods of the signal to noise ratio and the analysis of variance (ANOVA). Hence a systematic study to understand