Rapid data-driven individualised shape design of AUVs based on CFD and machine learning-Reference-Cited by-同舟云学术

Rapid data-driven individualised shape design of AUVs based on CFD and machine learning

Published:2024-03-03 Issue: Volume: Page:1-15
ISSN:1744-5302
Container-title:Ships and Offshore Structures
language:en
Short-container-title:Ships and Offshore Structures

Author:

Liu Ming¹,Song Yu²,Yang Shaoqiong¹²,Yang Ming¹²

Affiliation:

1. Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, School of Mechanical Engineering, Tianjin University, Tianjin, People’s Republic of China

2. The Joint Laboratory of Ocean Observing and Detection, Laoshan Laboratory, Qingdao, People’s Republic of China

Funder

the National Natural Science Foundation of China Grant

Qi Ming Project of Tianjin University

National Key R&D Program of China, China Postdoctoral Science Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445302.2024.2323884

Reference30 articles.

1. Autonomous Underwater Vehicle Hull Geometry Optimization Using a Multi-objective Algorithm Approach

2. Parametric Design and Optimization of the Profile of Autonomous Underwater Helicopter Based on NURBS

3. Ansys Inc. 2020. ANSYS ICEM CFD Help Manual.

4. Establishment of a design study for comprehensive hydrodynamic optimisation in the preliminary stage of the ship design

5. Study on the oblique water entry impact performance of AUV under different launch conditions based on coupled FEM-ALE method

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