Numerical study on visual cue technology of SLD based on CRM aircraft

Xian Xu; Yingchun Chen; Xiong Huang; Zhirong Han; Hang Chen

doi:10.1117/12.3020864

29 January 2024 Numerical study on visual cue technology of SLD based on CRM aircraft

Xian Xu, Yingchun Chen, Xiong Huang, Zhirong Han, Hang Chen

Proceedings Volume 12984, Fourth International Conference on Computer Vision and Information Technology (CVIT 2023); 129840B (2024) https://doi.org/10.1117/12.3020864
Event: 2023 4th International Conference on Computer Vision and Information Technology (CVIT 2023), 2023, Beijing, China

Abstract

Ice detection of supercooled large droplets(SLD) is a key technology for ensuring aircraft flight safety. With reference to the advisory circular and combination of the flight scenarios, this paper studies the visual cue technology of SLD using numerical simulation method based on the Common Research Model. Unstructured grids are generated for the entire model, and FENSAP-ICE software is used to obtain the droplet impingement characteristics. Sensitivity analysis of the icing and flight parameters is carried out. The droplet impingement characteristics after encountering normal droplets and SLD conditions are analyzed. The reference component and it’s specific visual location for visual cue are determined.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xian Xu, Yingchun Chen, Xiong Huang, Zhirong Han, and Hang Chen "Numerical study on visual cue technology of SLD based on CRM aircraft", Proc. SPIE 12984, Fourth International Conference on Computer Vision and Information Technology (CVIT 2023), 129840B (29 January 2024); https://doi.org/10.1117/12.3020864

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