Research and implementation of roughness data processing based on GPS profile method
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摘要: 根据GPS规范,对轮廓法粗糙度数据处理提出了切实可行的方案并通过编程实现算法:利用最小二乘拟合法消除测量数据中的标称形状;将高斯滤波器输出函数离散化,实现数字滤波器,并利用该滤波器滤除噪声,将原始轮廓、粗糙度轮廓和波纹度轮廓进行分离。Abstract: According to the GPS specification, a feasible solution for roughness data processing of profile method is proposed and the algorithm is realized by programming through the following steps: the nominal form in the measured data is eliminated by the best fitting least squares method; the Gaussian filter output function is discretized to realize the digital filter, and this Gaussian filter is used to filter out the noise, and the primary profile, roughness profile and waviness profile are derived by filtering.
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Key words:
- GPS /
- roughness /
- profile method /
- nominal form /
- least squares /
- filter
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表 1 各截止波长与测头半径、采样间隔之间的关系
$ {\lambda }_{c} $/
mm$ {\lambda }_{s} $/
μm$ {\lambda }_{c}/{\lambda }_{s} $ 测头半径/
μm最大采样
间隔/ μm0.08 2.5 30 2 0.5 0.25 2.5 100 2 0.5 0.8 2.5 300 2 0.5 2.5 8 300 5 1.5 8 25 300 10 5 -
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