Abstract
In the metal cutting process, a substantial portion of the mechanical energy in the cutting zone is transformed into heat, causing a rapid rise in temperature. The uneven distribution of temperature results in workpiece distortion, leading to reduced machining accuracy. As the demand for higher product quality increases, the prediction of cutting temperature and compensation for thermally induced deformations has become a crucial area of research. This paper introduces a novel experimental setup that enables in situ monitoring of process temperature using infrared thermography. Through the analysis of experimental data, a numerical model is proposed and calibrated to quantitatively predict the temperature evolution in the workpiece. The derived model facilitated the prediction of workpiece distortion, and the results can enhance machining accuracy by integrating contour correction. The developed approach offers valuable insights into mitigating the adverse effects of temperature-induced distortions in turning operations.
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