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Unformatted text preview: ult to this step is the parameter t z , A New Algorithm to Assess Revolute Surfaces 161 that combined with the parameters found in the previous step give us the final best fit parameter t = ψ , θ , 0 , t x , t y , t z . [ Figure 1: Definition of tapering tolerance Afterwards the individuation of the best-fit set of transformation parameters the tolerance assessment of the feature can be assessed in according with the standard tolerance definition (see Figure 1): a profile tolerance specifies a tolerance zone bounded by parallel features, identical to the nominal feature, within which the surface must lie. This definition can be easily expressed for the fitted feature in the appropriate reference system. 3. APPLICATION EXAMPLES The above algorithms was implemented on a Athlon Thunderbird, 512 MB, 1000 MHz machine, using the Mathematica 5.0 package. The proposed method was tested to verify its correctness using datasets created by numerically simulating actual rotational features, specifically 6 truncated cones and 6 truncated paraboloids. The simulated features were generated expressing the surfaces in their parametric form. The equation of a generic surface in parametric form is: ⎧ x =...
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This note was uploaded on 08/03/2010 for the course DD 1234 taught by Professor Zczxc during the Spring '10 term at Magnolia Bible.

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