Abstract
This paper presents turning experiments of Al 7075 alloy with ZrCN-coated carbide tools to explore the effects of turning variables on the cutting tool temperature (T), followed by its parametric optimization and generation of regression model. Outcomes revealed that the temperature increased on increasing any of the turning variables, i.e., spindle speed (N), feed (f) or depth of cut (d). Optimal combination of machining variables for T was 250 rpm of N, 0.05 mm/rev of f, and 0.2 mm of d. Analysis of variance (ANOVA) results showed that both speed and cutting depth were significant for the cutting temperature, but the feed was insignificant. The regression model presented high determination coefficient (94.11%) with a reasonable agreement with its adjusted value.
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Das, D., Dash, S.K., Rauniyar, R.K., Md. Suaeb Ahemad, S., Kumar, R., Samal, C. (2023). Turning Investigations of Al 7075 Alloy with ZrCN-Coated WC Inserts: Parametric Optimization and Cutting Temperature Prediction. In: Revankar, S., Muduli, K., Sahu, D. (eds) Recent Advances in Thermofluids and Manufacturing Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-4388-1_45
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DOI: https://doi.org/10.1007/978-981-19-4388-1_45
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