By the use of this approach we try to demonstrate how

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Unformatted text preview: y distributed on the surface. In this procedure, the matter is assumed to be randomly distributed around the nominal feature, following a Gaussian distribution with a standard deviation of 2 μm. 232 J. M. Linares et al. 4.3. Estimation of the parameters of the torus The geometrical uncertainties model presented in section 3 has been applied to the torus. It allowed estimating the uncertainties of the simulated measurement for a confidence level of 99.7%. These results are presented in figure 9. Mean value Point -0.000627 0.000199 0.160817 Uncertainty 0.000728 0.000723 0.860496 0.000169 0.000000 0.000000 3253.940 3253.939 Vector -0.000065 0.000019 1.000000 -7155.503 7160.503 R r Figure 9; Estimation of the parameters of the torus The deviations of the points around the nominal surface (standard deviation = 2 μm), the low width (L=15 mm) and the size of the nominal torus lead to high uncertainties of the two radii, but the whole surface remains in an envelop of about 4 μm. 4.4. Estimation of the variation of the curvature of the cam r...
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