Abstract
Titanium alloy (grade 5) is the superior alloy as compared to other materials as it is highly anticorrosive in nature having better strength with respect to its weight. However, machining grade 5 alloy conventional is a challenging task, as it is chemically reactive with lower thermal properties. In the current study, turning of titanium alloy is done using K313 inserts. The influence of cutting speed (Cs), depth of cut (DOC) and feed (F) on the chip reduction coefficient (CRC), flank wear (FW) and surface roughness (SR) is studied using Taguchi L9 orthogonal design. Fuzzy combined with TOPSIS multi-objective optimization technique has been implemented to optimize the process. It is observed from the optimization that the optimum parametric setting found as cutting speed at 40 m/min, depth of cut at 0.4 mm and feed at 0.16 mm/rev. From the analysis of variance, it is observed that depth of cut has the highest percentage contribution of 55.6% and feed with 25.3%.
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Pradhan, S., Priyadarshini, M., Mohapatra, S.K. (2020). Multi-objective Optimization of Process Parameter During Dry Turning of Grade 5 Titanium Alloy with Carbide Inserts: Hybrid Fuzzy-TOPSIS Approach. In: Krolczyk, G., Prakash, C., Singh, S., Davim, J. (eds) Advances in Intelligent Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-4565-8_4
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DOI: https://doi.org/10.1007/978-981-15-4565-8_4
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