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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science >Thermal error measurement and modelling techniques for the five-degree-of freedom spindle drifts in computer numerically controlled machine tools
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Thermal error measurement and modelling techniques for the five-degree-of freedom spindle drifts in computer numerically controlled machine tools

机译：计算机数控机床中五自由度主轴漂移的热误差测量和建模技术

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摘要

Thermally induced errors have been significant factors affecting machine tool accuracy. In this paper, the spindle thermal error is examined, where thermal error components with five degrees of freedom (DOFs) are considered. An effective measurement system has been devised for five-DOF thermal errors, consisting of gap sensors and thermocouples around the microcomputer-interfaced environment. Several thermal error modelling techniques are also implemented for the thermal error prediction: multiple linear regression, neural network, system identification methods, etc. The performance of the thermal error modelling techniques is evaluated and compared, giving the system identification method as the optimum model having the least deviation. The developed system for the thermal error measurement and modelling has been practically applied to a computer numerically controlled machining centre, and the spindle thermal errors are effectively compensated using the microcomputer-machine tool interfaced networks. The machine tool accuracy has been improved about four to five times typically.
机译：热引起的误差已成为影响机床精度的重要因素。在本文中，研究了主轴热误差，其中考虑了具有五个自由度（DOF）的热误差分量。已经针对五自由度热误差设计了一种有效的测量系统，该系统包括间隙传感器和微机接口环境周围的热电偶。还针对热误差预测实现了几种热误差建模技术：多元线性回归，神经网络，系统识别方法等。对热误差建模技术的性能进行了评估和比较，从而给出了系统识别方法作为具有以下特征的最优模型：最小的偏差。所开发的用于热误差测量和建模的系统已实际应用于计算机数控加工中心，并且使用微计算机-机床接口网络可以有效地补偿主轴热误差。机床精度通常提高了约四到五倍。

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