Abstract
Inconel-718 super alloy primarily used in aerospace, nuclear, marine and energy sectors. Due to the perceived difficulties in machining of this alloy, some advanced machining strategies such as minimum quantity lubrication -assisted machining are used with an objective to improve their machinability along with maintaining the environmental friendliness simultaneously. In minimum quantity lubrication-assisted machining of Inconel-718 alloy, the selection of optimum machining parameters remains a critical concern in order to ensure the quality of the product, reduce the machining cost, increasing the productivity and conserve resources for sustainability . This chapter describes the experimental investigation conducted in turning Inconel-718 alloy with an overall idea of optimizing the process to achieve higher metal removal rate, lower cutting forces and lower power consumption under MQL conditions. The experimental work is based on the analysis and optimization of various process parameters such as cutting speed, feed rate, side cutting edge angle (approach angle) while keeping depth of cut constant using CBN insert tool. The results indicate that the cutting force increases with increase in feed rate, whereas there is no significant change in cutting force as cutting speed and side cutting edge angle increases. The MRR increases with the increase in cutting speed and feed rate, whereas there is no effect of side cutting edge angle on MRR. The power consumption increases with the increase in cutting speed and feed rate, whereas it decreases with the increase in side cutting edge angle. Process parameter optimization enhanced the machinability of Inconel-718 to a great extent.
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Gupta, M.K., Sood, P.K., Singh, G., Sharma, V.S. (2017). Experimental Investigation and Optimization on MQL-Assisted Turning of Inconel-718 Super Alloy. In: Gupta, K. (eds) Advanced Manufacturing Technologies. Materials Forming, Machining and Tribology. Springer, Cham. https://doi.org/10.1007/978-3-319-56099-1_10
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DOI: https://doi.org/10.1007/978-3-319-56099-1_10
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