Hamid Ghorbani and Farbod Khameneifar
Paper (2020)
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Abstract
This paper presents a method for accurate alignment of the scanned point clouds of damaged blades with their nominal CAD model, which is an essential task in automated inspection for remanufacturing. The geometric dissimilarity of the underlying surface of the local neighborhoods of each measured data point and its nearest corresponding point on the CAD model is evaluated using a metric combining the average curvature Hausdorff distance and average Euclidean Hausdorff distance. The algorithm eliminates unreliable pairs with high geometric dissimilarity values in damaged regions from the matching process. The effectiveness of the proposed method is verified by experimental tests.
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| Subjects: | 2100 Mechanical engineering > 2100 Mechanical engineering |
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| Department: | Department of Mechanical Engineering |
| Funders: | NSERC / CRSNG |
| PolyPublie URL: | https://publications.polymtl.ca/50651/ |
| Conference Title: | 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME 2021) |
| Conference Location: | Gulf of Naples, Italy |
| Conference Date(s): | 2020-07-15 - 2020-07-17 |
| Journal Title: | Procedia CIRP (vol. 112) |
| Publisher: | Elsevier |
| DOI: | 10.1016/j.procir.2022.09.060 |
| Official URL: | https://doi.org/10.1016/j.procir.2022.09.060 |
| Date Deposited: | 18 Apr 2023 14:59 |
| Last Modified: | 16 Nov 2024 04:33 |
| Cite in APA 7: | Ghorbani, H., & Khameneifar, F. (2020, July). Scan-to-CAD alignment of damaged airfoil blade point clouds through geometric dissimilarity assessment [Paper]. 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME 2021), Gulf of Naples, Italy (5 pages). Published in Procedia CIRP, 112. https://doi.org/10.1016/j.procir.2022.09.060 |
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