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针对现实中用户依据自身经验选择采样条件的不确定性,提出了一种能够客观判定最佳采样条件的方法。基于二维功率频谱分析,考虑奈奎斯特采样定理与混叠效应,提出一个归一近似因子来确定合适采样条件。经实验验证其适用于碳纤维复合材料表面形貌测量,研究证明用较大采样间距多次测量加工后工件的表面形貌,取粗糙度值的平均值或最大值来评定其表面质量更合理。
In view of the uncertainty that the user selects the sampling conditions based on his own experience, a method that can objectively determine the best sampling conditions is proposed. Based on the two-dimensional power spectrum analysis, considering Nyquist sampling theorem and aliasing effect, a normalization factor is proposed to determine the appropriate sampling conditions. It is verified by experiments that the surface morphology of carbon fiber composites can be measured. It is proved that it is more reasonable to measure the surface topography of the workpiece after machining with larger sampling interval and the average or maximum of roughness values.