The ISO GPS and ASME Y14.5 standards have defined dimensional and geometrical tolerance as a way to express the limits of\nsurface part variations with respect to nominal model surfaces. A quality-control process using a measuring device verifies the\nconformity of the parts to these tolerances. To convert the control measurement points as captured by a device such as a\ncoordinate measurement machine (CMM) or noncontact scan, it is necessary to select the appropriate algorithm (e.g., least square\nsize and maximum inscribed size) and to include the working hypotheses (e.g., treatment of outliers, noise filtering, and missing\ndata). This means that the operator conducting the analysis must decide on which algorithm to use. Through a literature review of\ncurrent software programs and algorithms, many inaccuracies were found. A benchmark was therefore developed to compare the\nalgorithm performance of three computer-aided inspection (CAI) software programs. From the same point cloud and on the same\nspecifications (requirements and tolerances), three CAI options have been tested with several dimensional and\ngeometrical features.
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