Gao Xiangsheng, Qin Zeyun, Guo Yueyang, Wang Min, Zan Tao
Beijing Key Laboratory of Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China.
Materials (Basel). 2019 Sep 24;12(19):3113. doi: 10.3390/ma12193113.
A In high-speed precision machining, thermal deformation caused by temperature rise affects the accuracy stability of the machine tool to a significant extent. In order to reduce the thermal deformation of ball screws and improve the accuracy, a new adaptive method based on carbon fiber reinforced plastics (CFRP) was proposed in this study and the thermal deformation of ball screws was determined. By using the sequential coupling method, the thermal-structural coupling analysis of a ball screw was conducted based on the finite element method (FEM). The analysis results were verified through a comparison with the experimental results. Based on the verification, an FE model of the improved ball screw was established to study its thermal characteristics. The key design parameters of the improved ball screw were optimized based on the Kriging model and genetic algorithm (GA). The thermal reduction effect of the improved ball screw was validated through the experimental results. The results indicate that the adaptive method proposed in this research is effective in reducing the thermal deformation of ball screws.
A 在高速精密加工中,温度升高引起的热变形在很大程度上影响机床的精度稳定性。为了减少滚珠丝杠的热变形并提高精度,本研究提出了一种基于碳纤维增强塑料(CFRP)的新型自适应方法,并确定了滚珠丝杠的热变形。采用顺序耦合方法,基于有限元法(FEM)对滚珠丝杠进行热-结构耦合分析。通过与实验结果进行比较对分析结果进行了验证。基于验证结果,建立了改进型滚珠丝杠的有限元模型以研究其热特性。基于克里金模型和遗传算法(GA)对改进型滚珠丝杠的关键设计参数进行了优化。通过实验结果验证了改进型滚珠丝杠的热减少效果。结果表明,本研究提出的自适应方法在减少滚珠丝杠热变形方面是有效的。