Inconel 617 is found in industrial sectors, including chemical, petrochemical, and nuclear. This work mainly concentrates on the analysis and the input-parameters optimization that minimizes the surface roughness, tool wear, and force in turning Inconel 617. Then, the chip and inserts are morphologically characterized using optical images. The residual plots showed that the accomplished investigational data are reliable and suitable for further study. Abrasion is accountable for tool wear mechanisms, and a rise in cutting speed affects the tool wear profile. Chip burr adhering to the flank surface is responsible for the surface roughness increase. Optimum cutting parameters are determined as 0.3mm depth of cut, 0.1mm/rev feed rate, and 220m/min cutting speed. Feed rate is the most influential parameter for process variables through Criteria Importance through Inter Criteria and weighted aggregated sum product assessment methodology.
Modeling and Optimization of Process Variables in Turning of Inconel 617 through Criteria Importance through Inter-Criteria and Weighted Aggregated Sum Product Assessment Methodology
Sae Int. J. Adv. and Curr. Prac. in Mobility
International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility ; 2022
Sae International Journal of Advances and Current Practices in Mobility ; 5 , 4 ; 1653-1667
2022-12-23
15 pages
Aufsatz (Konferenz)
Englisch
Optimization , Chemicals , Data exchange , Chromium alloys , Cutting , Joining , Wear
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