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Optimization of Machining Parameters on Surface Roughness and MRR in Drilling AISI 429 Steel Using Response Surface Method


Affiliations
1 Department of Mechanical Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India
2 Department of Mechatronics, K. S. Rangasamy College of Technology, Tiruchencode, Tamil Nadu, India
     

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This paper mainly focuses on the drilling parameter optimization by introducing Response Surface Methodology (RSM). RSM is the most effective methods to modeling and find optimum results. In this study, three parameters such as cutting speed, feed rate and point angle has been selected as input parameters and surface roughness, torque, thrust force and material removal rate (MRR) are taken as the responses. The experiments are carried out over the AISI 429 steel plate with the dimension of 100×100×10 mm by using HSS 8 mm drill bit. The input parameters are predicted by using response surface methodology (RSM). From the results that can be observed clearly the predicted parameters speed and feed rate are the most important to get good surface integrity and maximum material removal rate.

Keywords

AISI, Drilling, Material removal rate, Response surface methodology, Surface roughness.
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  • Optimization of Machining Parameters on Surface Roughness and MRR in Drilling AISI 429 Steel Using Response Surface Method

Abstract Views: 162  |  PDF Views: 0

Authors

N. Parthipan
Department of Mechanical Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India
M. Ilangkumaran
Department of Mechatronics, K. S. Rangasamy College of Technology, Tiruchencode, Tamil Nadu, India

Abstract


This paper mainly focuses on the drilling parameter optimization by introducing Response Surface Methodology (RSM). RSM is the most effective methods to modeling and find optimum results. In this study, three parameters such as cutting speed, feed rate and point angle has been selected as input parameters and surface roughness, torque, thrust force and material removal rate (MRR) are taken as the responses. The experiments are carried out over the AISI 429 steel plate with the dimension of 100×100×10 mm by using HSS 8 mm drill bit. The input parameters are predicted by using response surface methodology (RSM). From the results that can be observed clearly the predicted parameters speed and feed rate are the most important to get good surface integrity and maximum material removal rate.

Keywords


AISI, Drilling, Material removal rate, Response surface methodology, Surface roughness.