数控机床精度保持性试验及精度退化影响因子分析

Research on multi-cycle accuracy retention testing and evaluation methods for CNC machine tools

  • 摘要: 结合现有的可靠性试验与精度检验国家标准,对一台卧式车床进行了12个循环、总计288小时的模拟加载试验,跟踪测量了15项几何精度和20项位置精度,并通过线性回归模型对精度退化增量影响因子进行解耦,以评估加载力、扭矩、转速及其组合对于几何精度和位置精度退化的贡献。方法不仅适用于标量型精度指标,也适用于数组型精度指标的退化建模。明确精度退化的影响因子后,结合机床结构进一步分析精度退化受特定载荷影响的原因。所提模型可以基于特定的加载应力评估精度退化趋势,预测精度保持时间,并指导用户选取适当的切削参数以控制机床服役过程中的精度退化。

     

    Abstract: A simulated loading test was conducted on a horizontal lathe over 12 cycles totaling 288 hours based on national standards for reliability testing and accuracy inspection. During the test, 15 geometric and 20 positioning accuracy parameters were measured. A linear regression model was used to decouple the contributions of loading force, torque, rotational speed, and their combinations to accuracy degradation. The method applies to both scalar and array-type accuracy indicators. After identifying key influencing factors, further analysis explored how specific loads affect accuracy degradation. The proposed model predicts accuracy retention trends, evaluates degradation under specific stresses, and guides users in selecting cutting parameters to control accuracy loss during operation.

     

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