基于数字孪生的电主轴热特性研究

为提高热特性有限元分析精度，提出了基于数字孪生的电主轴热特性分析方法。搭建基于IoT数据采集系统的电主轴热特性数字孪生物理空间，设计开发基于Java、ANSYS、MATLAB联合编程的热特性数字孪生系统，提出了基于关键测温点温度的热边界条件修正模型，实现了物理空间与虚拟空间的数据映射及热特性数字孪生。实验结果表明，热特性数字孪生体的温度精度达98%,热变形精度达95%,有效提高了热特性有限元分析精度。

Research on Thermal Characteristics of Motorized Spindles Based on Digital Twin

 In order to improve the simulation accuracy of thermal characteristics， adigital twin-based simulation method for thermal characteristics was proposed. The physical space of digital twin for thermal characteristics of a motorized spindle was built based on the IoT data acquisition system. A digital twin system for thermal characteristics was developed based on Java， ANSYS and MATLAB. Correction models of thermal boundary conditions were proposed based on the temperatures of thermal key points. Data mapping between physical space and virtual space and digital twin for thermal characteristics of motorized spindles were realized using the proposed method. Experimental results show that the simulation accuracies of temperature field and thermal deformation are as 98% and 95% respectuely using the proposed digital twin-based simulation method for thermal characteristics， which effectively improves the accuracy of finite element analysis of thermal characteristics.