Optimization of CNC Turning Process Parameters on ALUMINIUM 6061 using Genetic Algorithm
N. Zeelan Basha1, G. Mahesh2, N. Muthuprakash3
1N.Zeelan Basha, Department of Mechanical Engineering, Adithya Institute of Technology, Coimbatore, Tamil Nadu, India.
2Dr.G.Mahesh, Associate Professor, Department of Mechanical Engineering, EASA College of Engg and Tech, Coimbatore, Tamil Nadu, India.
3N.Muthuprakash, Department of Mechanical Engineering, Ranganathan Engineering College, Coimbatore, Tamil Nadu, India.
Manuscript received on August 05, 2013. | Revised Manuscript received on August 11, 2013. | Manuscript published on August 15, 2013. | PP: 43-46 | Volume-1 Issue-9, August 2013. | Retrieval Number: I0417081913/2013©BEIESP
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Abstract: This paper presents the effect of process parameter in turning operation to predict surface roughness. Application of alumunium 6061 can be found in many manufacturing industries such as aircraft and aerospace components, marine fittings, transport, bicycle frames, camera lenses, drive, shafts, electrical fittings and connectors, brake components, valves, couplings. But some of the limitations during machining of aluminum 6061 are lower strength at elevated temperatures and limited formability affects quality of desired output. A lot of parameters that affect the turning operation are vibration, tool wear, surface roughness etc. Among this surface roughness plays a major role which affects the quality in the manufacturing process. This paper presents the effect of process parameter by considering the Spindle speed, Feed rate and Depth of cut. The main objective of this paper is to predict the surface roughness. Aluminium 6061 is taken into a consideration, machining is done by using coated carbide tool. A second order mathematical model is developed using regression technique of Box-Behnken of Response Surface Methodology (RSM) in design expert software 8.0 and optimization carried out by using genetic algorithm in matlab8.0. This study attempts the application of genetic algorithm to find the optimal solution of the cutting conditions.
Keywords: Surface Roughness, Genetic Algorithm, Optimization, CNC Turning Centre.