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Adaptive measurement method based on changing-curvature for unknown free-form surface

机译:基于曲率的未知自由曲面自适应测量方法

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摘要

Current measurement method for unknown free-form surface has low efficiency. To acquire given precision, a lot of null points are measured. Based on change surface curvature, a new measurement planning is put forward. Sample step is evaluated from the change curvature and the locally-bounded character of extrapolating curve. Two coefficients, maximum error coefficient and local camber coefficient, are used to optimize sampling step. The first coefficient is computed to avoid sampling-point exceeding the measurement range and the second control sampling precision. Compared with the other methods, the proposed planning method can reduce the number of the measuring-point efficiently for the given precision. Measuring point distributes adaptively by the change surface curvature. The method can be applied to improve measurement efficiency and accuracy.
机译:现有的未知自由曲面的测量方法效率较低。为了获得给定的精度,需要测量许多零点。基于变化的表面曲率,提出了一种新的测量方案。根据变化曲率和外推曲线的局部界值来评估样本步长。最大误差系数和局部外倾系数这两个系数可用于优化采样步长。计算第一系数以避免采样点超出测量范围和第二控制采样精度。与其他方法相比,提出的规划方法可以在给定精度的情况下有效地减少测量点的数量。测量点通过变化的表面曲率自适应地分布。该方法可用于提高测量效率和准确性。

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