Estimating any geometric tolerance requires to sample a cloud of points on the feature to check, and then to fit an ideal substitute geometry respect to which to evaluate errors. Usually, points will be sampled by means of a CMM, and then a suitable software algorithm will be applied to them. Algorithms that can be found in literature show some limitations: they may be very slow, the solution they propose is just an approximated one, or some degenerate situations cannot be managed. We will propose a categorization of algorithms found in literature, highlighting merits and defects for them. Moreover, a new algorithm will be proposed. This algorithm will be tested against classical algorithms to show its advantages.

Geometric tolerance evaluation: A discussion on minimum zone fitting algorithms

MORONI, GIOVANNI;PETRO', STEFANO
2008-01-01

Abstract

Estimating any geometric tolerance requires to sample a cloud of points on the feature to check, and then to fit an ideal substitute geometry respect to which to evaluate errors. Usually, points will be sampled by means of a CMM, and then a suitable software algorithm will be applied to them. Algorithms that can be found in literature show some limitations: they may be very slow, the solution they propose is just an approximated one, or some degenerate situations cannot be managed. We will propose a categorization of algorithms found in literature, highlighting merits and defects for them. Moreover, a new algorithm will be proposed. This algorithm will be tested against classical algorithms to show its advantages.
2008
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/512182
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