摘要
为提高数控机床的加工精度,针对主轴热误差提出一种基于热模态分析的鲁棒性建模方法。类比动力学模态分析,利用有限元分析方法对机床主轴进行热模态分析,获得主轴热模态时间常数和温度场,并以此为依据确定温度传感器在主轴上的安装位置,利用回归分析方法建立热误差数学模型。频率敏感性仿真实验结果表明,误差模型在不同热流输入频率下均具有非常好的拟合效果。最后通过实验验证了所提出建模方法的鲁棒性和准确性。
In order to improve the machining accuracy of NC machine tools, a robust thermal error modeling strategy based on the thermal mode analysis is presented. Finite element analysis is utilized to determine the time constant, weight and temperature field of each thermal mode. On this foundation, temperature sensors are placed to capture the dominant thermal modes of thermal deformation process. Multiple linear regression models are employed to describe thermal errors of spindle. Numerical simulation is conducted to verify the robustness of the thermal error models in terms of frequency sensitivity. At last, practical experiments are carried out and the results proved that the proposed modeling method is robust and effective.
出处
《组合机床与自动化加工技术》
北大核心
2015年第2期90-93,共4页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家自然科学基金项目(51275305)
国家科技重大专项课题(2011ZX04015-031)
关键词
数控机床
热误差
误差建模
热模态
鲁棒性
CNC machine tool
thermal error
error modeling
thermal mode analysis
robustness
