Effect of Process Parameters on Performance Measures in CNC Turning Using One Factor at a Time Approach for SS304

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This work extent with the improvement of machining parameters in turning of SS304 austenitic stainless-steel in Computer Numerical Control (CNC) shaping machine by victimization of coated inorganic compound tools. Throughout the experiment, process parameters like Speed, Feed and Depth of Cut are used to inquire their general intent on the Surface Roughness (Ra) and Material Removal Rate (MRR) as the quality targets. 9 experimental runs supported by one factor at a Time Approach as Design of Experiment and Grey Relational Analysis (GRA) method is applied to see associate degree for optimum CNC turning parameter setting. An optimal parameter combination of the turning method is obtained by victimization of Grey Relational Analysis. By dissecting the Grey Relational Grade matrix, the degree of influence for every controllable process factor onto individual quality targets is found for the higher performance characteristics.

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26-32

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October 2016

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© 2017 Trans Tech Publications Ltd. All Rights Reserved

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[1] T.S. Lan, M. Y. Wang, Competitive parameter optimization of multi-quality CNC turning, The International Journal of Advanced Manufacturing Technology, 41 (2009) 820-826.

DOI: 10.1007/s00170-008-1495-4

Google Scholar

[2] W. H. Yang, Y. S. Tarng, Design optimization of cutting parameters for turning operations based on the Taguchi method, Journal of Materials Processing Technology, 84 (1998) 122–129.

DOI: 10.1016/s0924-0136(98)00079-x

Google Scholar

[3] L. B. Abhang, M. Hameedullah, Optimization of Machining Parameters in Steel Turning Operation by Taguchi Method, Elsevier, 38 (2012) 40-48.

DOI: 10.1016/j.proeng.2012.06.007

Google Scholar

[4] Chorng-JyhTzeng, Yu-Hsin-Lin, Yung-Kuang Yang, Ming-Chang Jeng, Optimization of turning operations with multiple performance characteristics using the Taguchi Method and Grey Relational Analysis, Journal of Materials Processing Technology, 6 (2009).

DOI: 10.1016/j.jmatprotec.2008.06.046

Google Scholar

[5] A. H. A. Shah, A. I. Azmi, A. N. M. Khalil, Multi-Objective Optimization in CNC Turning of S45C Carbon Steel using Taguchi and Grey Relational Analysis Method, Journal of Advanced Research in Applied Mechanics, 11 (2015) 8-15.

DOI: 10.1088/1757-899x/114/1/012023

Google Scholar

[6] Farshid Jafarian, Hossein Amirabadi, Javad Sadri, Hamid Reza Banooie, Simultaneous Optimizing Residual Stress and Surface Roughness in Turning of Inconel718 Superalloy, Materials and Manufacturing Processes, 29 (2014) 337-343.

DOI: 10.1080/10426914.2013.864413

Google Scholar

[7] Hongbing Wu, Lei Guo, Machinability of Titanium Alloy TC21 under Orthogonal Turning Process, Materials and Manufacturing Processes, 29 (2014) 1441-1445.

DOI: 10.1080/10426914.2014.952023

Google Scholar

[8] Salman Khani, Masoud Farahnakian, Mohammad Reza Razfar, Experimental Study on Hybrid Cryogenic and Plasma-Enhanced Turning of 17-4PH Stainless Steel, Materials and Manufacturing Processes, 30 (2015) 868-874.

DOI: 10.1080/10426914.2014.984200

Google Scholar

[9] S. Amini, H. Khakbaz, A. Barani, Improvement of Near-Dry Machining and Its Effect on Tool Wear in Turning of AISI 4142, Materials and Manufacturing Processes, 30 (2015) 241-247.

DOI: 10.1080/10426914.2014.952029

Google Scholar

[10] S. Amini, M. Kazemiyoun, Effect of Ultrasonic Vibrations on Chip–Tool Contact Zone in Turning of AISI304, Materials and Manufacturing Processes, 29 (2014) 627-633.

DOI: 10.1080/10426914.2014.901521

Google Scholar