Reproducibility Experimentation among Computer-Aided Inspection Software from a Single Point Cloud
The ISO GPS and ASME Y14.5 standards have defined dimensional and geometrical tolerance as a way to express the limits of surface part variations with respect to nominal model surfaces. A quality-control process using a measuring device verifies the conformity of the parts to these tolerances. To co...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2019/9140702 |
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| author | Ibtissem Jbira Antoine Tahan Serge Bonsaint Mohamed Ali Mahjoub Borhen Louhichi |
| author_facet | Ibtissem Jbira Antoine Tahan Serge Bonsaint Mohamed Ali Mahjoub Borhen Louhichi |
| author_sort | Ibtissem Jbira |
| collection | DOAJ |
| description | The ISO GPS and ASME Y14.5 standards have defined dimensional and geometrical tolerance as a way to express the limits of surface part variations with respect to nominal model surfaces. A quality-control process using a measuring device verifies the conformity of the parts to these tolerances. To convert the control measurement points as captured by a device such as a coordinate measurement machine (CMM) or noncontact scan, it is necessary to select the appropriate algorithm (e.g., least square size and maximum inscribed size) and to include the working hypotheses (e.g., treatment of outliers, noise filtering, and missing data). This means that the operator conducting the analysis must decide on which algorithm to use. Through a literature review of current software programs and algorithms, many inaccuracies were found. A benchmark was therefore developed to compare the algorithm performance of three computer-aided inspection (CAI) software programs. From the same point cloud and on the same specifications (requirements and tolerances), three CAI options have been tested with several dimensional and geometrical features. |
| format | Article |
| id | doaj-art-2b9dcf8039c044fa9beb4d65e186ddbb |
| institution | OA Journals |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-2b9dcf8039c044fa9beb4d65e186ddbb2025-08-20T02:04:31ZengWileyJournal of Control Science and Engineering1687-52491687-52572019-01-01201910.1155/2019/91407029140702Reproducibility Experimentation among Computer-Aided Inspection Software from a Single Point CloudIbtissem Jbira0Antoine Tahan1Serge Bonsaint2Mohamed Ali Mahjoub3Borhen Louhichi4École de Technologie Supérieure (ÉTS), 1100 Notre-Dame Ouest, Montréal, Québec H3C 1K3, CanadaÉcole de Technologie Supérieure (ÉTS), 1100 Notre-Dame Ouest, Montréal, Québec H3C 1K3, CanadaCreaform 3D 4700, Rue de la Pascaline Lévis (QC), G6W 0L9, Levis, CanadaUniversité de Sousse, École Nationale d’Ingénieurs de Sousse, LATIS—Laboratory of Advanced Technology and Intelligent Systems, Sousse, TunisiaUniversité de Sousse, Institut Supérieur des Sciences Appliquées et de Technologie de Sousse, LMS, Cité Taffala 4003, Sousse, TunisiaThe ISO GPS and ASME Y14.5 standards have defined dimensional and geometrical tolerance as a way to express the limits of surface part variations with respect to nominal model surfaces. A quality-control process using a measuring device verifies the conformity of the parts to these tolerances. To convert the control measurement points as captured by a device such as a coordinate measurement machine (CMM) or noncontact scan, it is necessary to select the appropriate algorithm (e.g., least square size and maximum inscribed size) and to include the working hypotheses (e.g., treatment of outliers, noise filtering, and missing data). This means that the operator conducting the analysis must decide on which algorithm to use. Through a literature review of current software programs and algorithms, many inaccuracies were found. A benchmark was therefore developed to compare the algorithm performance of three computer-aided inspection (CAI) software programs. From the same point cloud and on the same specifications (requirements and tolerances), three CAI options have been tested with several dimensional and geometrical features.http://dx.doi.org/10.1155/2019/9140702 |
| spellingShingle | Ibtissem Jbira Antoine Tahan Serge Bonsaint Mohamed Ali Mahjoub Borhen Louhichi Reproducibility Experimentation among Computer-Aided Inspection Software from a Single Point Cloud Journal of Control Science and Engineering |
| title | Reproducibility Experimentation among Computer-Aided Inspection Software from a Single Point Cloud |
| title_full | Reproducibility Experimentation among Computer-Aided Inspection Software from a Single Point Cloud |
| title_fullStr | Reproducibility Experimentation among Computer-Aided Inspection Software from a Single Point Cloud |
| title_full_unstemmed | Reproducibility Experimentation among Computer-Aided Inspection Software from a Single Point Cloud |
| title_short | Reproducibility Experimentation among Computer-Aided Inspection Software from a Single Point Cloud |
| title_sort | reproducibility experimentation among computer aided inspection software from a single point cloud |
| url | http://dx.doi.org/10.1155/2019/9140702 |
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