Optimization of CNC Turning Cutting Parameter for Geometrical Dimensional Accuracy with Surface roughness on the non-ferrous Material Applying Taguchi Technique
Citation
MLA Style: Santosh Kumar Patod, Dr. Suman Sharma "Optimization of CNC Turning Cutting Parameter for Geometrical Dimensional Accuracy with Surface roughness on the non-ferrous Material Applying Taguchi Technique" International Journal of Engineering Trends and Technology 67.12 (2019):56-66.
APA Style:Santosh Kumar Patod, Dr. Suman Sharma. Optimization of CNC Turning Cutting Parameter for Geometrical Dimensional Accuracy with Surface roughness on the non-ferrous Material Applying Taguchi Technique International Journal of Engineering Trends and Technology, 67(12),56-66.
Abstract
In a manufacturing industry, machining process is to shape the metal parts by removing unwanted material by means of tool. During the machining process of any part given quality specifications such as surface quality, dimensional accuracy with minimum production cost or machining time are to be considered. To obtain the final surface quality and dimensional tolerance. Surface quality produced by the machining processes is one of the crucial factors to determine the functional performance and correspondent fatigue life time of the parts. The project will present the results of surface characterization of the part produced by high speed CNC turning with optimum combinations of input parameters cutting speed(rpm), feed rate, depth of cut, material removal rate, adequate coolant flood, tool geometry, work piece clamping, material composition, chip formations. And the corresponding output size precision, circularity, taper, concentricity and better surface finish. A series machining tests were conducted on the non-ferrous materials specimen the significance of influence of machining parameters in the study and Taguchi approach (orthogonal array) was adapted for the experiments This research report reveals the relationship between cutting parameters and surface roughness is studied to determine the effect of different parameters on the machined surface quality as well as dimensional confirmations.
Reference
[1] L B Abhang [2012]“Optimal Machining Parameters for Achieving the Desired Surface Roughness in Turning of Steel”.(2012) (TJER,Vol. 9).
[2] Upinder Kumar Yadav, Deepak Narang and Pankaj Sharma Attri [2012] “Experimental Investigation And Optimization Of Machining Parameters For Surface Roughness In CNC Turning By Taguchi Method” Vol. 2, Issue 4, pp.2060-2065, July-August 2012.
[3] N .Zeelan Basha, G.Mahesh and N.Muthuprakash [2013] “Optimization of CNC Turning Process Parameters on Aluminium 6061 Using Genetic Algorithm” International Journal of Science and Modern Engineering, Volume-1, Issue-9, pp. 43-46, August 2013.
[4] M.Naga Phani Sastry and K.Devaki Devi [2011] “Optimizing of Performance Measures in CNC Turning using Design of Experiments (RSM).” Science Insights: An International journal, 2011;1(1):1-5.
[5] P.Warhade, Sonam K.Bhilare and Shirley R.Gaikwad [2013]“Modeling and Analysis of Machining Process using Response surface methodology”.International Journal of Engineering and Development Volume 2, December- 2013.
[6] Ravi Patel, Ankit Kumar, and Jitendra Kumar Verma [2016] “Analysis and Optimization of Surface Roughness in Turning Operation of Mild Steelusing Taguchi Method” International Journal of Engineering Trends and Technology (IJETT) – Volume 34 Number 7- April 2016.
[7] N. Rajesh. M.Yohan, P.Venkataramaiah,and M.Vani pallavi 2017“Optimization of Cutting Parameters for Minimization of Cutting Temperature and Surface Roughness in Turning of Al6061 Alloy”
[8] Puneet Bansal and Lokesh Upadhyay 2016“Effect of Turning Parameters on Tool Wear, Surface Roughness and Metal Removal Rate of Alumina Reinforced Aluminum Composite”3rd International Conference on Innovations in Automation and Mechatronics Engineering, ICIAME 2016.
[9] Rajendra B and Deepak D 2015 “Optimization of Process Parameters for Increasing Material Removal Rate for Turning Al6061 Using S/N ratio’’International Conference on Emerging Trends in Engineering, Science and Technology (ICETEST- 2015)
[10] N. Satheesh Kumar,Ajay Shetty, Ashay Shetty, Ananth K, and Harsha Shetty,[2012]“Effect of spindle speed and feed rate on surface roughness of Carbon Steels in CNC turning” International Conference on Modeling, Optimization and Computing (ICMOC 2012).
[11] Gaurav Mishra, Arpit Srivastava, A. S. Verma, Ramendra Singh Niranjan [2017]“Optimization of Cutting Force, Feed Force and Material Removal Rate (MRR) in Turning of Inconel 718”International Journal of Science and Research (IJSR)ISSN (Online): 2319-7064 Index Copernicus Value (2016): 79.57 | Impact Factor (2017): 7.296.
[12] Vijay Kurkute and Sandeep T Chavan [2018]“Modeling and Optimization of surface roughness and micro hardness for roller burnishing process using response surface methodology for Aluminum 63400 alloy” 2nd International Conference on Materials Manufacturing and Design Engineering (2018) 542–547.
[13] Barzani MM, Sarhan AA, Farahany S, Ramesh S and Maher I. [2015]”Investigating the machinability of Al–Si–Cu cast alloy containing bismuth and antimony using coated carbide insert” Measurement2015; 62: 170-178.
[14] Ashok Kumar Sahoo, Achyuta Nanda Baral, Arun Kumar Rout, B.C. Routra,[2012]”Multi-objective optimization and predictive modeling of surface roughness and material removal rate in turning using Grey Relational and Regression Analysis” Procedia Engineering, 38 (2012) 1606-1627.
[15] A.J.Makadia, J.I.Nanavati [2013] “Optimizing Surface Finish in Turning Operation by Factorial Design of Experiments” International Conference on Advanced Engineering Optimization through Intelligent Techniques (AEOTIT), July 01-03, 2013’
[16] Dharindom Sonowal, Thuleswar Nath, and Dhrupad Sarma [2015] “A Review on Optimization of Cutting Parameters on Turning’’ International Journal of Engineering Trends and Technology (IJETT) – Volume 28 Number 2 - October 2015
Keywords
CNC, Non-Ferrous, Dimensional Accuracy, Surface Roughness, Turning, Cutting Parameter, Taguchi.