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Erschienen in:
2021 | OriginalPaper | Buchkapitel
20. Investigation of Surface Roughness in MQL Aided Turning of Al/Cu/Zr Alloy Using PCD Tool
verfasst von : Md. Rezaul Karim, Sabbir Hossain Shawon, Shah Murtoza Morshed, Abir Hasan, Juairiya Binte Tariq
Erschienen in: Intelligent Manufacturing and Energy Sustainability
Verlag: Springer Singapore
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Abstract
Surface finish is one of the vital elements in engineering applications as it directly affects tool wear, adhesion, and friction. This paper deals with the effect of PCD insert on surface roughness under minimum quantity lubricant environment in the machining of Al/Cu/Zr alloy. The whole experiment has been designed using response surface methodology for both PCD and carbide insert. PCD tool performs better than traditional carbide tool by ensuring a substantial reduction in surface roughness under specific constraints. Cutting speed and depth of cut are found as the most dominant variable affecting surface roughness from analysis of variance. 2FI model can reasonably predict the response with a mean absolute percentage error of 3.89% for PCD tool. Moreover, the machining parameters were optimized using desirability function analysis, where it is recommended that lower level of depth of cut and higher value of cutting speed is required to induce favorable value of the response variable.