Temperature Prediction Model for Laser Polishing on Aluminum and a Measurement of Polishing Effect
Abstract
Laser polishing involves the local melting of a product’s surface using a laser beam, thereby improving its surface roughness. Processing parameters such as laser power, feed rate, frequency, and tool path affect laser polishing. The surface temperature changes depending on these parameters, and determines the completeness of the polishing. For example, when a specimen is irradiated using a high-energy laser beam, its temperature increases excessively, leading to extensive melting. In contrast, a low-energy laser beam results in incomplete polishing. Therefore, it is important to be able to predict the surface temperature that can be easily changed by various parameters before conducting the actual experiment. In this study, a temperature prediction model is established to predict the time evolution of the surface temperature of an aluminum specimen irradiated using a laser beam. Furthermore, the feasibility of the prediction model is verified via comparisons with simulation results.
Keywords:
Laser polishing, Surface temperature prediction model, Zig-Zag tool path, CAE, Temperature distribution simulationReferences
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