Multi-Response Optimisation of End Milling Process Parameters
Authors
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Department of Mechanical Engineering, National Institute of Technology Karnataka (NITK), Surathkal 575025 ,IN
B. Srinivasa Rao -
Department of Design, Aero Engine Research and Design Centre, Hindustan Aeronautics Limited, Bangalore 560093 ,INCh. Kanna Babu
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Department of Mechanical Engineering, National Institute of Technology Karnataka (NITK), Surathkal 575025 ,INH. Shivananda Nayaka
DOI:
https://doi.org/10.18311/jmmf/2023/33352Keywords:
GRA, ANOVA, MRR, End milling, Surface roughness, Tool tip temperatureAbstract
This paper presents a novel approach for the optimization of machining parameters of a CNC end milling process with multiple responses, based on Taguchi’s orthogonal array (OA) and gray relational analysis (GRA). Experiments were conducted on BS L168 aluminum alloy test specimens with uncoated carbide solid end mills under dry cutting condition. The cutting process parameters considered: cutting speed (S), feed rate (F) and depth of cut (D) are optimized for betterment of the multiple responses such as: surface roughness (Ra), cutting tool tip temperature rise (T) and material removal rate (MRR). A grey relational grade (GRG) is determined from the grey relational analysis (GRA). Optimum levels of process parameters have been identified based on the values of grey relational grade and influence of each cutting process parameter is determined by ANOVA. To validate the test results, confirmation tests are performed. Experimental outcomes have proved that the output responses in end milling process can be enhanced efficiently through this approach.
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