Abstract
In the present work, “Taguchi methodology” along with “Technique for order of preference by similarity to ideal solution (TOPSIS)” has been used to optimize the machining parameters during the minimum quantity lubrication (MQL)-based turning of Ti–6Al–7Nb. The influence of different input process variables namely kind of oil, the rate of flow of oil, and cutting speed has been investigated to simultaneously optimize the response functions, i.e.. surface quality of the workpiece and flank wear of the tool insert. It was found that kind of oil has the highest influence on closeness coefficient and accounts for 74.81% contribution in the total variability. Also, vegetable oils proved to be a good alternative over mineral and synthetic oil.
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Gupta, A., Kumar, R., Kumar, H., Garg, H. (2020). Optimization of MQL Machining Parameters Using Combined Taguchi and TOPSIS Method. 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_9
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