%0 Journal Article %1 noauthororeditor %A Basha, N. Zeelan %A Mahesh, G. %A Muthuprakash, N. %D 2013 %E Kumar, Dr. Shiv %J International Journal of Innovative Science and Modern Engineering (IJISME) %K %N 9 %P 43-46 %T Optimization of CNC Turning Process Parameters on ALUMINIUM 6061 Using Genetic Algorithm %U https://www.ijisme.org/wp-content/uploads/papers/v1i9/I0417081913.pdf %V 1 %X 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.

@article{noauthororeditor, 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.}, added-at = {2021-09-23T11:39:57.000+0200}, author = {Basha, N. Zeelan and Mahesh, G. and Muthuprakash, N.}, biburl = {https://www.bibsonomy.org/bibtex/2f110b1f949ce58afd84218406ed8d7ed/ijisme_beiesp}, editor = {Kumar, Dr. Shiv}, interhash = {4ec453ae0a4af77022abde89079f26d9}, intrahash = {f110b1f949ce58afd84218406ed8d7ed}, issn = {2319-6386}, journal = {International Journal of Innovative Science and Modern Engineering (IJISME)}, keywords = {}, language = {En}, month = {August}, number = 9, pages = {43-46}, timestamp = {2021-09-23T11:39:57.000+0200}, title = {Optimization of CNC Turning Process Parameters on ALUMINIUM 6061 Using Genetic Algorithm}, url = {https://www.ijisme.org/wp-content/uploads/papers/v1i9/I0417081913.pdf}, volume = 1, year = 2013 }