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Pre-Post Surface Defect Repair for Offset Car-body Complex Surfaces

Published: 03 November 2023 Publication History

Abstract

The offset operation for complex surfaces is a key and challenging pole in the modelling process of car-body design. In this paper, we proposed a pre-post surface defect repair approach to solve the problem. Firstly, through the analysis of surface defects which lead to offset failure, we consider the NURBS surface case and define two types of surface defect forms and their corresponding defect metrics. Secondly, for the given compound surfaces, the defect types were obtained using above detection criterion and the surfaces were processed respectively. For the case of degenerate surfaces, surface reconstruction with a quadrilateral trimmed surface is adopted, and for surfaces with highly non-uniform control poles, the number and distance distribution optimization of control poles are utilized with car-body engineering constraints. Then, the surfaces were sewed and offset as a whole. Finally, according to industry standards and expert knowledge, we post-process the offset surfaces to improve their fairness and edibility. The numerical results show that our method is effective on Siemens NX platform.

References

[1]
Les A. Piegl, (1996). The NURBS Book (Monographs in Visual Communication)
[2]
Zhaowei NIE, (2019). Target surface research of aero-engine blade adaptive repairing driven by image model. Computer Integrated Manufacturing Systems. 25(1):53-60
[3]
Pei Cao, (2020). Robot spraying trajectory planning for aircraft skins. Modern Manufacturing Engineering. 10:72-77. (In Chinese)
[4]
Yinhua Liu, (2020). Optimal path planning for automated dimensional inspection of free-form surfaces. Journal of Manufacturing Systems. 56:84-92
[5]
Gerd Suβner, (2008). High Quality Realtime Tessellation of Trimmed NURBS Surfaces for Interactive Examination of Surface Quality on Car Bodies. Proceedings of the 17th International Meshing Roundrable.399-414
[6]
Ali Hashemian, (2018). Surface fairness a quality metric for aesthetic assessment of compliant automotive bodies. Journal of Engineering Design. 29:1-2,41-64
[7]
Maekawa, T. (1999). An overview of offset curves and surfaces. Computer-Aided Design.31(3):165-173
[8]
Wenlong Meng, (2018). Efficiently computing feature-aligned and high-quality polygonal offset surfaces. Computers & Graphics. 70:62-70
[9]
Ayse Yavuz, (2022). Congruence of degenerate surface along pseudo null curve and Landau–Lifshitz equation. Journal of Geometry and Physics. 178:104553
[10]
Kan-Le Shi, (2014). Polynomial spline interpolation of incompatible boundary conditions with a single degenerate surface. Computer-Aided Design. 53:28-35
[11]
Baotao Chi, (2019). Automatic geometric topology repair method based on T-Spline.ACTA AUTOMATICA SINICA. 45(8):1511-1526. (In Chinese)
[12]
Q Youn Hong, (2019). Trimming offset surface self-intersetions around near-singular regions. Computers & Graphics. 82:84-94
[13]
Jinting Xu, (2015). A mapping-based approach to eliminating self-intersection of offset paths on mesh surfaces for CNC machining. Computer-Aided Design. 62:131-142
[14]
Nicholas M.P., &Takashi M. (2005). Shape Interrogation for Computer Aided Design and Manufacturing
[15]
Xiangyang Huang, (2022). A hybrid algorithm for the minimum bounding sphere problem. Operations Research Letters.50: 150-154
[16]
GB/T 18784.2-2005 CAD-CAM Data quality assurance methods

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    ICBICC '22: Proceedings of the 2022 International Conference on Big Data, IoT, and Cloud Computing
    December 2022
    199 pages
    ISBN:9781450399548
    DOI:10.1145/3588340
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 03 November 2023

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    Author Tags

    1. Car-body surfaces
    2. Complex surfaces offset
    3. Defect repair

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