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THERMAL ERROR MODELING AND PREDICTION OF A HEAVY FLOOR-TYPE MILLING AND BORING MACHINE TOOL

机译:耐重型铣床和镗孔机床的热误差建模与预测

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Thermal error modeling and prediction of a heavy floor-type milling and boring machine tool was studied in this paper. An FEA model and a thermal network of the machine tool's ram was established. The influence of boundary conditions on thermal error was studied to find out the boundary conditions that needn't to be calculated precisely, reducing the time cost of the work. Superposition principle of heat sources was used in the FEA to get the simulation data of thermal error and temperature. A model based on the simulation data was established to predict the thermal error during the work process. An experiment was performed to verify the accuracy of the model. The result shows that the model accuracy is 87%. The method in this paper is expected to be used in engineering application.
机译:本文研究了重型铣床铣床和镗孔机床的热误差建模和预测。建立了一个FEA模型和​​机床RAM的热网络。研究了边界条件对热误差的影响,发现了不需要精确计算的边界条件,降低了工作的时间成本。在FEA中使用了热源的叠加原理以获得热误差和温度的模拟数据。建立了基于模拟数据的模型来预测工作过程中的热误差。进行实验以验证模型的准确性。结果表明,模型精度为87%。本文中的方法预计将用于工程应用。

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