首页> 外文会议>10th international symposium on measurement and quality control 2010 >ANALYSIS OF GEOMETRIC DEVIATIONS OF FREE-FORM SURFACES DETERMINED IN COORDINATE MEASUREMENTS
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ANALYSIS OF GEOMETRIC DEVIATIONS OF FREE-FORM SURFACES DETERMINED IN COORDINATE MEASUREMENTS

机译:坐标测量中确定的自由曲面的几何偏差分析

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摘要

In coordinate measurements, local geometric deviations of free-form surfaces are determined as normal distances of these points from the nominal surface (the CAD model). Different sources of errors in the manufacturing process result in deviations of different characters, deterministic and random. The different nature of geometric deviations may be the basis for separating the random and deterministic components in order to compute deterministic geometric deviations and further to introduce corrections to the processing program. The paper suggests applying the methods of analyzing spatial data to research on geometric deviations of free-form surfaces in order to test the existence of spatial autocorrelation. Identifying spatial correlation of measurement data proves the existence of a systematic, repetitive processing error. In such a case, the spatial modelling methods may be applied to fitting a surface regression model representing the deterministic deviations. The first step in model diagnosing is to examine the model residuals for the probability distribution and then the existence of spatial autocorrelation.
机译:在坐标测量中,将自由曲面的局部几何偏差确定为这些点与标称曲面(CAD模型)的正常距离。制造过程中错误的不同来源会导致确定性和随机性的不同特征出现偏差。几何偏差的不同性质可以是分离随机分量和确定性分量以便计算确定性几何偏差并进一步将校正引入处理程序的基础。本文建议应用空间数据分析方法研究自由曲面的几何偏差,以测试空间自相关的存在。识别测量数据的空间相关性证明存在系统的重复处理错误。在这种情况下,可以将空间建模方法应用于拟合表示确定性偏差的表面回归模型。模型诊断的第一步是检查模型残差的概率分布,然后检查空间自相关性的存在。

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