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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >A new modeling method for thermal errors of motorized spindle based on the variation characteristics of spindle temperature field
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A new modeling method for thermal errors of motorized spindle based on the variation characteristics of spindle temperature field

机译：基于主轴温度场变形特性的电动主轴热误差新的建模方法

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摘要

Motorized spindle is a component with complex thermal properties. Its thermal boundary conditions change with operating conditions, and thus, the variations of spindle temperature field under different conditions are not exactly the same. Models with fixed structures and fixed coefficients have difficulty in predicting the spindle thermal error with high accuracy and stability. To solve this problem, study of the variation rules of the spindle temperature field is conducted in this paper. The variation process is divided into two stages: the non-uniform variation stage and the uniform variation stage. The variation characteristics are concluded into two parts: the overall variation tendency and the variation of temperature distribution from the inside to outside of the spindle. These conclusions provide a new perspective for temperature variable selection and coefficients adjustment. Based on the variation characteristics of the spindle temperature field, a new modeling method for spindle thermal errors is proposed. The basic temperature, the difference between temperature near the internal heat source and the basic temperature, and the ambient temperature are applied as input variables. The coefficient of the second input variable is set to adjust adaptively according to the spindle status. This method puts more emphasis on the variation rules of the spindle temperature field and can significantly increase the accuracy and the robustness of the prediction model. The model coefficients are optimized by PSO (particle swarm optimization). According to the experimental verification, the variation ranges of residual errors are reduced by at least 62% when predicting the thermal error inX-direction with the proposed model.
机译：电主轴是具有复杂的热性能的组分。其热边界条件与操作条件变化，因此，主轴的温度场的不同条件下的变化是不完全一样。与固定结构和固定系数模式对预测具有较高的精度和稳定性主轴热误差困难。为了解决这个问题，主轴温度场的变化规律研究在本文中进行。的变化过程分为两个阶段：非均匀变化阶段和均匀变化的阶段。变化特性进行了总结成两个部分：整体变化趋势和温度分布的从内到所述主轴的外变化。这些结论提供了温度可变的选择和调整系数一个新的角度。根据主轴温度场的变化特性，对于主轴热误差的新的建模方法，提出了基本温度，内部发热源附近的温度和基本温度和环境温度之间的差被应用作为输入变量。第二输入变量的系数被设置根据主轴的状态自适应地调整。主轴温度场的这种方法更强调的变化规则，并且可以显著提高精度和预测模型的稳健性。模型系数由PSO（粒子群优化）优化。根据实验验证，残留误差的变动范围被预测与所提出的模型的热误差INX-方向在由至少62％减少。

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