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Model reconstruction for worn blades based on hybrid surface registrations

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Abstract

Model reconstruction is crucial in blade repair because it directly determines the shape precision and finish of a repaired surface. However, owing to insufficient surface data pertaining to defective regions and the unique deformation caused by harsh environments, modeling a worn blade remains difficult. Hence, a model reconstruction method for worn blades is developed in this study. Unlike conventional methods of constructing and interpolating sectional curves, the proposed method focuses on modifying a nominal computer aided design (CAD) model to reconstruct the worn blade. Through weighted rigid registration and constraint-based non-rigid registration, the design surface extracted from the nominal CAD model can be deformed to align with the surface data of the worn blade without a significant loss of its initial shape. Verification results show that the deformed design surface exhibits sufficient smoothness and accuracy for guiding tool path generation in the subsequent blade repair.

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Acknowledgements

The authors acknowledge the financial support from the National Natural Science Foundation of China (Grant No.52005311), the Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi (Grant No.2019L0036), and the Scientific and the National Science and Technology Major Project (Grant No. J2019-VII-0013-0153).

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Authors and Affiliations

  1. School of Automation and Software Engineering, Shanxi University, Taiyuan, 030006, People’s Republic of China

    Kang Cui & Lin Jing

  2. School of Aeronautics and Astronautics, Sichuan University, Chengdu, 610065, People’s Republic of China

    Rui-Song Jiang

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  1. Kang Cui
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  2. Rui-Song Jiang
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  3. Lin Jing
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Correspondence to Kang Cui.

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Cui, K., Jiang, RS. & Jing, L. Model reconstruction for worn blades based on hybrid surface registrations. Adv. Manuf. 10, 479–494 (2022). https://doi.org/10.1007/s40436-022-00390-5

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  • DOI: https://doi.org/10.1007/s40436-022-00390-5

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