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Abstract
This work aims to study the effect of cutting speed and feed rate on surface roughness and tool temperature by prediction mathematical models from the experimental data using LAB-Fit Data software. The mathematical models have been used to study the behavior of both surface roughness which is considered an indicator of workpiece quality and tool temperature that is related to tool wear and surface roughness. The experiments were conducted on AISI 1045 carbon steel that has wide range of applications by using CNC turning machine under dry cutting condition. The results shows that surface roughness decreases with increasing cutting speed while it increases with increasing feed rate, also it has been noticed that the temperature of cutting tool increases with increasing both cutting speed and feed rate.
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