Analysis of the Effects of Parameters on Alloy Steel during Computer Numeric Control (CNC) Turning
Keywords:
CNC Turning, Alloy steel, MRR, Surface roughnessAbstract
Turning is one of the important manufacturing processes used now days. Metal is removed in the form of chips. In turning work piece is kept stationary (but rotates) while tool moves along the axis of rotation. CNC turning machine is controlled by various process parameters and the cutting conditions to get efficient work. This Study aims to find the relation between those process parameters on the output parameters like MRR, Surface finish etc. The most common parameters controlling the processes are speed, feed, depth of cut, tool geometry, coolant, work material etc. Analyzing these effects also helps in optimizing the parameters to get work efficiently. Various techniques are available for solving such type of problems out of which Taguchi method is the most widely used technique for the optimization.
References
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[2] Munawar M, Mufti NA, Iqbal H. Optimization of Surface Finish in Turning Operation by Considering the Machine Tool Vibration using Taguchi Method. Mehran University Research Journal of Engineering and Technology 2012; 31(1).
[3] Devi K, Yadav SP, Kumar S. Extension of fuzzy TOPSIS method based on vague sets. Computational Cognition 2009; 7: 58-62.
[4] Kaladhar M, Venkata Subbaiah K, Rao S et al. Optimization of process parameters in turning of AISI202 austenitic stainless steel. Asian Research Publishing Network 2010; 5(9): 79-87.
[5] Philip Selvaraj D, Chandramohan P. Optimization of surface roughness of AISI 304 austenitic stainless steel in dry turning operation using Taguchi design method. Journal of Engineering Science and Technology 2010; 5(3): 293-301.
[6] Satheesh Kumar N, Shetty A, Shetty et al. Effect of spindle speed and feed rate on surface roughness of Carbon Steels in CNC turning. International Conference on Modeling, Optimization and Computing 2012; 38: 691-97.
[7] Gadhiya JM, Patel PJ. Parametric Investigation of Turning Process on Mild Steel AISI 1018 Material. Global Research Analysis 2013; 2(4): 135-36.
[8] Singh V, Khan TA. Comparative Performance Analysis of Insert Geometry for Turning Operation on CNC Turning Centre. International Journal of Scientific Engineering and Technology 2013; 2(7): 626-30.
[9] Kumar R, Kumar R, Rai JS et al. International Journal of Innovative Research in Science, Engineering and Technology 2013; 2: 1131-45.
[10] Rawat U, Shah M, Patil RM. Experimental Study of Effect of Cutting Parameters on Cutting Force in Dry Turning of SS316L Using Taguchi Method. International Journal of Innovative Research in Advanced Engineering 2014; 1(8): 40448.
[11] Jachak SS, Pandey VR. Optimization of CNC Turning Process Parameters for Prediction of Surface Roughness by Factorial Experimentation. International Journal of Innovative Research and Development 2014; 3(3): 405-10. [12] Sahu M, Sahu K. Optimization of Cutting Parameters on Tool Wear, Work piece Surface Temperature and Material Removal Rate in Turning of AISI D2 Steel. International Journal of Advanced Mechanical Engineering 2014; 4(3): 29198.
[13] Saini P, Parkash S. A Multi Response Optimization of Machining Parameters for Surface Roughness and MRR in High Speed CNC Turning of EN-24 Alloy Steel Using Response Surface Methodology. International Journal of Engineering Sciences and Research Technology 2014; 4(5): 153-60.
[14] Shirpurkar PP, Kamble PD, Bobde SR et al. Optimization of CNC Turning Process Parameters for Prediction of Surface
Roughness by Taguchi Orthogonal Array. International Journal of Engineering Research and Technology 2014; 3(1): 137-42.
[15] Sharma SK, Kumar S. Optimization of Surface Roughness in CNC Turning of Mild Steel (1018) using Taguchi method. International Journal of Engineering Research and Technology 2014; 3(1): 2928-32.
[16] Patil PM, Kadi RV, Dundur ST et al. Effect of Cutting Parameters on Surface Quality of AISI 316 Austenitic Stainless Steel in CNC Turning. International Research Journal of Engineering and Technology 2015; 2(4): 1453-60.
[17] Pawar K, Palhade RD. Multi-objective Optimization of CNC Turning Process Parameters for High Speed Steel (M2) Using Taguchi and ANOVA Method. International Journal of Hybrid Information Technology 2015; 8(4): 6780.
[18] Shah AHA, Azmi AI, Khalil ANM. MultiObjective Optimization in CNC Turning of S45C Carbon Steel using Taguchi and Grey Relational Analysis Method. Journal of Advanced Research in Applied Mechanics 2015; 11(1): 8-15.
[19] Abhishek P. Optimization of Machining Parameters of EN36C Steel in CNC Turning By Use of Taguchi Approach. Imperial Journal of Interdisciplinary Research 2016; 2(5): 299-306.
[2] Munawar M, Mufti NA, Iqbal H. Optimization of Surface Finish in Turning Operation by Considering the Machine Tool Vibration using Taguchi Method. Mehran University Research Journal of Engineering and Technology 2012; 31(1).
[3] Devi K, Yadav SP, Kumar S. Extension of fuzzy TOPSIS method based on vague sets. Computational Cognition 2009; 7: 58-62.
[4] Kaladhar M, Venkata Subbaiah K, Rao S et al. Optimization of process parameters in turning of AISI202 austenitic stainless steel. Asian Research Publishing Network 2010; 5(9): 79-87.
[5] Philip Selvaraj D, Chandramohan P. Optimization of surface roughness of AISI 304 austenitic stainless steel in dry turning operation using Taguchi design method. Journal of Engineering Science and Technology 2010; 5(3): 293-301.
[6] Satheesh Kumar N, Shetty A, Shetty et al. Effect of spindle speed and feed rate on surface roughness of Carbon Steels in CNC turning. International Conference on Modeling, Optimization and Computing 2012; 38: 691-97.
[7] Gadhiya JM, Patel PJ. Parametric Investigation of Turning Process on Mild Steel AISI 1018 Material. Global Research Analysis 2013; 2(4): 135-36.
[8] Singh V, Khan TA. Comparative Performance Analysis of Insert Geometry for Turning Operation on CNC Turning Centre. International Journal of Scientific Engineering and Technology 2013; 2(7): 626-30.
[9] Kumar R, Kumar R, Rai JS et al. International Journal of Innovative Research in Science, Engineering and Technology 2013; 2: 1131-45.
[10] Rawat U, Shah M, Patil RM. Experimental Study of Effect of Cutting Parameters on Cutting Force in Dry Turning of SS316L Using Taguchi Method. International Journal of Innovative Research in Advanced Engineering 2014; 1(8): 40448.
[11] Jachak SS, Pandey VR. Optimization of CNC Turning Process Parameters for Prediction of Surface Roughness by Factorial Experimentation. International Journal of Innovative Research and Development 2014; 3(3): 405-10. [12] Sahu M, Sahu K. Optimization of Cutting Parameters on Tool Wear, Work piece Surface Temperature and Material Removal Rate in Turning of AISI D2 Steel. International Journal of Advanced Mechanical Engineering 2014; 4(3): 29198.
[13] Saini P, Parkash S. A Multi Response Optimization of Machining Parameters for Surface Roughness and MRR in High Speed CNC Turning of EN-24 Alloy Steel Using Response Surface Methodology. International Journal of Engineering Sciences and Research Technology 2014; 4(5): 153-60.
[14] Shirpurkar PP, Kamble PD, Bobde SR et al. Optimization of CNC Turning Process Parameters for Prediction of Surface
Roughness by Taguchi Orthogonal Array. International Journal of Engineering Research and Technology 2014; 3(1): 137-42.
[15] Sharma SK, Kumar S. Optimization of Surface Roughness in CNC Turning of Mild Steel (1018) using Taguchi method. International Journal of Engineering Research and Technology 2014; 3(1): 2928-32.
[16] Patil PM, Kadi RV, Dundur ST et al. Effect of Cutting Parameters on Surface Quality of AISI 316 Austenitic Stainless Steel in CNC Turning. International Research Journal of Engineering and Technology 2015; 2(4): 1453-60.
[17] Pawar K, Palhade RD. Multi-objective Optimization of CNC Turning Process Parameters for High Speed Steel (M2) Using Taguchi and ANOVA Method. International Journal of Hybrid Information Technology 2015; 8(4): 6780.
[18] Shah AHA, Azmi AI, Khalil ANM. MultiObjective Optimization in CNC Turning of S45C Carbon Steel using Taguchi and Grey Relational Analysis Method. Journal of Advanced Research in Applied Mechanics 2015; 11(1): 8-15.
[19] Abhishek P. Optimization of Machining Parameters of EN36C Steel in CNC Turning By Use of Taguchi Approach. Imperial Journal of Interdisciplinary Research 2016; 2(5): 299-306.
Published
2019-01-05
How to Cite
Jangra, S., Gupta, M., & Kumar, R. (2019). Analysis of the Effects of Parameters on Alloy Steel during Computer Numeric Control (CNC) Turning. Journal of Advanced Research in Mechanical Engineering and Technology, 3(1&2), 1-8. Retrieved from https://adrjournalshouse.com/index.php/mechanical-engg-technology/article/view/248
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