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数字孪生的数控机床热复合误差原位监测

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随着智能制造技术快速发展及应用,对数控机床提出高精、高速、智能化等要求.然而,数控机床高速运行产生的热变形严重影响其加工精度,热误差控制是当前领域研究热点.为提高数控机床误差预测精度,提出数字孪生的热复合误差原位监测方法.应用光栅及电涡流位移传感器在机检测移动轴热误差;设计开发基于热边界实时修正的数字孪生系统,通过VB后台调用ANSYS模拟机床转动轴及工件热误差.建立基于齐次坐标变换的热复合误差综合数学模型,根据实测及仿真热误差实时计算当前位置热复合误差.构建基于误差增速的热复合误差预测算法,通过VB调用EXCEL自动计算目标位置热复合误差,实现数控机床热复合误差原位监测.实验结果表明,数字孪生的热复合误差预测精度达95%以上,为误差补偿提供依据.
In-situ Monitoring for Thermal Errors of CNC Machine Tools Based on Digital Twin
With the rapid development and application of intelligent manufacturing,requirements of high precision,high speed and intelligence are put forward for CNC machine tools.However,the thermal deformations generated by the high-speed running of CNC machine tools seriously affect the machining accuracy;and thermal error control becomes the research hotspot.In order to improve the prediction accuracy of thermal errors of CNC machine tools,an in-situ monitoring method for thermal errors is proposed based on digital twin.The grating and eddy current displacement sensors are used to detect the thermal errors in the moving axes.A digital twin system is designed and developed based on real-time correction of thermal boundaries to simulate the thermal errors of the rotational axis and the workpiece through background calling ANSYS using VB.A comprehensive mathematical model for thermal errors is established based on homogeneous coordinate transformation.The thermal errors of current position are calculated in real time according to the measured and simulated thermal errors.An error growth-based thermal error prediction algorithm is constructed to automatically calculate the thermal errors of the target position through calling the EXCEL using the VB.And the in-situ monitoring of thermal errors is achieved in CNC machine tools.Experimental results show that the prediction accuracy of digital twin-based in-situ monitoring for thermal errors reaches 95%,which provides a basis for error compensation of CNC machine tools.

digital twinthermal errorsin-situ monitoringCNC machine tool

范开国、孙光泽、杨建国

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上海理工大学 机械工程学院,上海 200093

宁波科威联创数控技术有限公司,浙江宁波 315400

数字孪生 热复合误差 原位监测 数控机床

2024

机械设计与研究
上海交通大学

机械设计与研究

CSTPCD北大核心
影响因子:0.531
ISSN:1006-2343
年,卷(期):2024.40(6)