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However, path energy consumption-based UUV hull design requires a tremendous amount of calculation due to the frequent changes in relative velocity and attack angle between a UUV and ocean current. In order to address this issue, this work developed a data-driven design methodology for energy consumption-based UUV hull design using artificial intelligence-aided design (AIAD). The design methodology in this work combined a deep learning (DL) algorithm that predicts UUVs\u2019 resistance with different hull shapes under different velocities and attack angles with the particle swarm optimization (PSO) algorithm for UUV hull design. We tested the proposed methodology in a path energy consumption-based experiment, where the optimized UUV hull showed an 8.8% reduction in path energy consumption compared with the initial UUV hull, and design costs were greatly reduced compared with the traditional computational fluid dynamics (CFD)-based methodology. Our work demonstrates that AIAD has the potential to solve UUV design problems previously thought to be too complex by offering a data-driven engineering shape (body surface) design method.<\/jats:p>","DOI":"10.1115\/1.4062661","type":"journal-article","created":{"date-parts":[[2023,6,2]],"date-time":"2023-06-02T06:21:38Z","timestamp":1685686898000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":9,"title":["Artificial Intelligence Aided Design of Hull Form of Unmanned Underwater Vehicles for Minimization of Energy Consumption"],"prefix":"10.1115","volume":"24","author":[{"given":"Yu","family":"Ao","sequence":"first","affiliation":[{"name":"Harbin Engineering University College of Shipbuilding Engineering, , Harbin 150009 , China ;"},{"name":"University of California Department of Civil and Environmental Engineering, , Berkeley, CA 94720"}]},{"given":"Jian","family":"Xu","sequence":"additional","affiliation":[{"name":"Qingdao Innovation and Development Center of Harbin Engineering University , Harbin 150001, China"}]},{"given":"Dapeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Harbin Engineering University College of Shipbuilding Engineering, , Harbin 150009 , China"}]},{"given":"Shaofan","family":"Li","sequence":"additional","affiliation":[{"name":"University of California Department of Civil and Environmental Engineering, , Berkeley, CA 94720"}]}],"member":"33","published-online":{"date-parts":[[2023,6,23]]},"reference":[{"key":"2023112817141355400_CIT0001","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.proeng.2015.06.017","article-title":"Autonomous Unmanned Underwater Vehicles Development Tendencies","volume":"106","author":"Gafurov","year":"2015","journal-title":"Procedia Eng."},{"issue":"4","key":"2023112817141355400_CIT0002","doi-asserted-by":"publisher","first-page":"1958","DOI":"10.1016\/j.rser.2011.12.016","article-title":"Reviews of Power Systems and Environmental Energy Conversion for Unmanned Underwater Vehicles","volume":"16","author":"Wang","year":"2012","journal-title":"Renew. 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