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Optimizing Micro-Turning Parameters during Step Turning Process on Titanium Alloy with RSM


Affiliations
1 Department of Mechanical Engineering, Roever Engineering College, Perambalur 621 220, Tamilnadu, India
2 Department of Mechanical Engineering, KPR Institute of Engineering and Technology, Coimbatore 641 407, Tamilnadu, India

An attempt was made to evaluate and improve the machining parameters of micro-turning titanium alloy with cermet insert on the titanium alloy’s surface roughness. The experiments were done using a strong statistical tool to construct a matrix by utilizing Response Surface Methodology (RSM) and Box-Behnken design for performing the micro turning. Quadratic model was generated to predict the response and also used to appraise the effect of outcomes. The results of the investigation suggest that the cutting feed as well as speed rate are the input elements that have the greatest impact on surface roughness. Numerical with graphical optimization methods are figured out to seek out the optimum method parameters. The subsequent machining conditions lead to minimum surface roughness on speed 2944 rpm, 7.23 μm/rev feed along with 15 μm depth of cut that helps to attain the great surface quality with minimum machining value and at the same time improves the productivity with 86% of optimum desirability rate.
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Abstract Views: 134




  • Optimizing Micro-Turning Parameters during Step Turning Process on Titanium Alloy with RSM

Abstract Views: 134  | 

Authors

S Selvakumar
Department of Mechanical Engineering, Roever Engineering College, Perambalur 621 220, Tamilnadu, India
V S Sreebalaji
Department of Mechanical Engineering, Roever Engineering College, Perambalur 621 220, Tamilnadu, India
K Ravi Kumar
Department of Mechanical Engineering, KPR Institute of Engineering and Technology, Coimbatore 641 407, Tamilnadu, India
V Ramakrishnan
Department of Mechanical Engineering, Roever Engineering College, Perambalur 621 220, Tamilnadu, India

Abstract


An attempt was made to evaluate and improve the machining parameters of micro-turning titanium alloy with cermet insert on the titanium alloy’s surface roughness. The experiments were done using a strong statistical tool to construct a matrix by utilizing Response Surface Methodology (RSM) and Box-Behnken design for performing the micro turning. Quadratic model was generated to predict the response and also used to appraise the effect of outcomes. The results of the investigation suggest that the cutting feed as well as speed rate are the input elements that have the greatest impact on surface roughness. Numerical with graphical optimization methods are figured out to seek out the optimum method parameters. The subsequent machining conditions lead to minimum surface roughness on speed 2944 rpm, 7.23 μm/rev feed along with 15 μm depth of cut that helps to attain the great surface quality with minimum machining value and at the same time improves the productivity with 86% of optimum desirability rate.