Comparison of chaos optimization functions for performance improvement of fitting of non-linear geometries
Moroni, Giovanni and Syam, Wahyudin P. and Petrò, Stefano (2016) Comparison of chaos optimization functions for performance improvement of fitting of non-linear geometries. Measurement, 86 . pp. 79-92. ISSN 0263-2241
Fitting algorithms play an important role in the whole measuring cycle in order to derive a measurement result. They involve associating substitute geometry to a point cloud obtained by an instrument. This situation is more difficult in the case of non-linear geometry fitting since iterative method should be used. This article addresses this problem. Three geometries are selected as relevant case studies: circle, sphere and cylinder. This selection is based on their frequent use in real applications; for example, cylinder is a relevant geometry of an assembly feature such as pin-hole relationship, and spherical geometry is often found as reference geometry in high precision artifacts and mechanisms.
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