Research on Thermal Characteristics of Motorized Spindles Based on Digital Twin

doi:10.3969/j.issn.1004-132X.2022.16.010

Abstract

Abstract: 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.

Key words: , thermal characteristics, digital twin, ANSYS parametric design language（APDL）, system development, motorized spindle

摘要： 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。

关键词: 热特性, 数字孪生, ANSYS参数化设计语言, 系统开发, 电主轴

CLC Number:

TG659

XU Rongfei, FAN Kaiguo. Research on Thermal Characteristics of Motorized Spindles Based on Digital Twin[J]. China Mechanical Engineering, 2022, 33(16): 1965-1971.

徐荣飞, 范开国. 基于数字孪生的电主轴热特性研究[J]. 中国机械工程, 2022, 33(16): 1965-1971.

References

［1］李浩，王昊琪，程颖，等. 数据驱动的复杂产品智能服务技术与应用［J］. 中国机械工程， 2020， 31（7）：757-772.
LI Hao， WANG Haoqi， CHENG Ying， et al. Data-driven Intelligent Service Technology and Application of Complex Products［J］. China Mechanical Engineering， 2020， 31（7）：757-772.
［2］伍良生，罗吉成，周大帅，等. 高速高精密机床主轴温度场的有限元分析［J］. 现代制造工程， 2008（9）：15-17.
WU Liangsheng， LUO Jicheng， ZHOU Dashuai， et al. Finite Element Analysis of the Temperature Field of the Spindle of High-speed and High-precision Machine Tools［J］. Modern Manufacturing Engineering， 2008（9）：15-17.
［3］CHOI J K， LEE D G. Thermal Characteristics of the Spindle Bearing System with a Gear Located on the Bearing Span［J］. International Journal of Machine Tools & Manufacture， 1998（38）：1017-1030.
［4］BOSSMANNS B， TU J F. A Thermal Model for High Speed Motorized Spindles［J］. International Journal of Machine Tools & Manufacture， 1999， 39（9）：1345-1366.
［5］张丽秀，李超群，李金鹏，等. 高速高精度电主轴温升预测模型［J］. 机械工程学报， 2017， 53（23）：129-136.
ZHANG Lixiu， LI Chaoqun， LI Jinpeng， et al. High-speed and High-precision Motorized Spindle Temperature Rise Prediction Model［J］. Journal of Mechanical Engineering， 2017， 53（23）：129-136.
［6］邓小雷，戴温克，周翎飞，等. 数控机床主轴-立柱系统热态特性分析与测试［J］. 光学精密工程， 2020， 28（3）：601-609.
DENG Xiaolei， DAI Wenke， ZHOU Lingfei， et al. Analysis and Testing of Thermal Characteristics of CNC Machine Tool Spindle-column System［J］. Optics and Precision Engineering， 2020， 28（3）：601-609.
［7］邓小雷，林欢，王建臣，等. 机床主轴热设计研究综述［J］. 光学精密工程， 2018， 26（6）：1415-1429.
DENG Xiaolei， LIN Huan， WANG Jianchen， et al. Review of Research on Thermal Design of Machine Tool Spindles［J］. Optics and Precision Engineering， 2018， 26（6）：1415-1429.
［8］李郝林，应杏娟. 数控机床主轴系统热误差温度测量的最优化设计方法［J］. 中国机械工程， 2010， 21（7）：804-808.
LI Haolin， YING Xingjuan. A Design Method of Temperature Measurement Points for Thermal Error of Machine Spindle［J］. China Mechanical Engineering， 2010， 21（7）：804-808.
［9］胡秀琨. 面向数字孪生的车间制造过程远程监测系统设计［D］. 武汉：华中科技大学， 2019.
HU Xiukun. Design of a Remote Monitoring System for Workshop Manufacturing Process Oriented to Digital Twins［D］. Wuhan：Huazhong University of Science and Technology， 2019.
［10］张亚斌. 多参数影响的高速电主轴热态特性研究［D］. 兰州：兰州理工大学， 2019.
ZHANG Yabin. Research on Thermal Characteristics of High Speed Motorized Spindle with Multi Parameter Influence［D］. Lanzhou：Lanzhou University of Technology， 2019.
［11］代贵松. 高速电主轴热特性分析及其热误差建模补偿研究［D］. 上海：上海交通大学， 2014.
DAI Guisong. Research on Thermal Characteristics Analysis of High-speed Motorized Spindle and Thermal Error Modeling Compensation［D］. Shanghai：Shanghai Jiaotong University， 2014.
［12］范开国，高芮，周昊，等. 机床热特性参数在线修正研究［J］. 机械工程与技术， 2018， 7（6）：480-486.
FAN Kaiguo， GAO Rui， ZHOU Hao， et al. Research on Online Correction of Machine Tool Thermal Parameters［J］. Mechanical Engineering and Technology， 2018， 7（6）：480-486.
［13］康子雄，位文明，李旸，等. 精密卧式加工中心主轴系统热特性分析［J］. 组合机床与自动化加工技术， 2011（11）：1-5.
KANG Zixiong， WEI Wenming， LI Yang， et al. Thermal Characteristics Analysis of the Spindle System of a Precision Horizontal Machining Center［J］. Modular Machine Tool and Automatic Processing Technology， 2011（11）：1-5.
［14］王新新. 高速电主轴的热-结构分析及温度预测研究［D］. 成都：西华大学， 2012.
WANG Xinxin. Thermal-structural Analysis and Temperature Prediction of High-speed Motorized Spindle［D］. Chengdu：Xihua University， 2012.

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