Abstract
This work aims to improve heat flux distribution models to predict the temperature during drilling. The workpiece temperature is simulated by applying heat flux load only on the hole wall surface. Finite element method is used to simulate the temperature over process time. An iterative identification algorithm using particle swarm optimization (PSO) enables to identify the heat flux distribution parameters through the best fit of the experimental and calculated temperatures. Two heat flux density distributions presented in the literature, namely linear and polynomial, are investigated. A concentrated heat flux distribution is calculated based on measured torque and serves for a comparison purpose. Additionally, the polynomial approach is expanded by adding a concentrated heat flux in order to compensate the lack of hole bottom surface. The best results in terms of residual temperature are obtained for the hybrid heat flow distribution.
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