A comparison of different heat flux density distribution models to predict the temperature in the drilling process

被引：0
作者：
Jose Carlos Medeiros
Joel Martins Crichigno Filho
机构：
[1] Santa Catarina State University,Department of Mechanical Engineering
来源：
The International Journal of Advanced Manufacturing Technology | 2020年 / 109卷
关键词：
Machining; Temperature; Simulation; Inverse problem; Heat flux density distribution;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
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页码：1997 / 2008
页数：11
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