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提出了一种旁置式的大型齿轮测量装置,分析了影响该装置测量精度的主要误差来源及其特性,给出了一种处理多因素耦合影响的灰色动态预报方法.首先,基于测量装置特性,对影响齿形误差测量精度的误差源进行分析和标定,计算出各误差源的灵敏度系数;然后对测得的有限误差数据进行再抽样及灰色生成,分别计算出在每次测量中各影响因素对测量结果的作用大小,之后按照误差合成方法生成误差源耦合作用结果;最后,通过在测量结果中去除耦合作用进而提高大型齿轮齿形误差测量精度.与测量精度为0.5μm的三坐标测量机进行对比测量,结果表明所提出测量装置能满足3级精度以上的大型齿轮齿形误差检测需求.
A kind of large-scale gear measuring device with side-by-side is put forward, and the main sources of error and its characteristics that affect the measuring accuracy of this device are analyzed. A gray dynamic forecasting method is proposed to deal with the influence of multi-factors coupling.First, based on the characteristics of the measuring device, The error sources that affect the accuracy of the measurement of the toothed error are analyzed and calibrated to calculate the sensitivity coefficients of each error source. Then, the measured finite error data are resampled and gray-generated, and the influence factors The size of the effect of the measurement results, and then in accordance with the error synthesis method to generate the results of the error source coupling; Finally, by removing the coupling in the measurement results and thus improve the measurement accuracy of large gear tooth error with the measurement accuracy of 0.5μm Coordinate Measuring Machine The results show that the proposed measurement device can meet the requirements of large-scale gear tooth-shape error detection above the third-order accuracy.