基于PLC的精密加工中心热误差建模与补偿研究

Research on thermal error modeling and compensation for precision machining centers based on PLC

  • 摘要: 热误差是影响精密数控机床加工精度的主要因素之一。为有效抑制机床因热变形产生的加工误差,提出基于可编程逻辑控制器(programmable logic controller, PLC)的热误差建模与补偿技术。首先,通过构建多通道温度测量系统,对加工中心关键结构点的温度场进行实时监测。然后,利用主轴回转误差分析仪,结合多点测量法,量化环境温度波动以及主轴、丝杠等内部热源对机床热误差的耦合影响。其次,基于实测数据,通过多元回归分析建立了高精度的热误差预测模型。最后,以PLC为核心控制器,结合热敏传感器与模拟量采集模块,设计并实现了一套在线热误差实时补偿系统。该系统能够依据温度传感数据驱动模型运算,并对机床运动轴坐标进行动态修正。试验结果表明,应用该补偿系统后,机床主轴与Z向丝杠的热误差被有效控制在8 μm以内,显著提升了加工精度,验证了所提方法的有效性与工程实用性。

     

    Abstract: Thermal error is a key factor affecting the machining accuracy of precision CNC machine tools. To effectively suppress machining errors caused by thermal deformation, a thermal error modeling and real-time compensation technology based on a programmable logic controller (PLC) was investigated. Firstly, a multi-channel temperature measurement system was established to monitor the temperature field at key structural points of a horizontal machining center in real time. Secondly, using the spindle rotation error analyzer and combining with the multi-point measurement method, the coupling influence of environmental temperature fluctuations and internal heat sources such as the spindle and the lead screw on the thermal error of the machine tool is quantified. Thirdly, based on the measured data, a highly accurate thermal error prediction model was established through multiple regression analysis. Finally, with the PLC as the core controller, combined with the thermal sensor and the analog quantity acquisition module, an online thermal error real-time compensation system was designed and implemented. The system drives the model calculation based on real-time temperature data and dynamically corrects the machine tool coordinates. The test results show that after applying this compensation system, the thermal errors of the machine tool's spindle and the Z-axis lead screw have been effectively controlled within 8 μm, significantly improving the processing accuracy. This verifies the effectiveness and engineering practicability of the proposed method.

     

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