{"ID":2864645,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.00044","arxiv_id":"2510.00044","title":"Optimized Fish Locomotion using Design-by-Morphing and Bayesian Optimization","abstract":"Nature has always inspired scientists and engineers to understand the underlying mechanism leading to optimal design in bio-inspired dynamics. This study presents a computational framework for optimizing undulatory swimming profiles using a combination of Design-by-Morphing and Bayesian optimization strategies. The swimming profile are expressed by morphing five baseline bio-inspired profiles using Design-by-Morphing to create an exploratory design space. The optimization objective is to find the optimal swimming profile, wavelength and undulation frequency to maximize propulsive efficiency. The optimized swimming profiles demonstrate a marked improvement in propulsive efficiency relative to the reference anguilliform and carangiform modes. The best-performing optimized cases achieve peak efficiencies in the range of 49-57\\% over a broad range of kinematic conditions, representing an overall enhancement of 16-35\\% compared to reference anguilliform and carangiform modes. The improved performance is attributed to favorable surface stress distributions and enhanced energy recovery mechanisms. A detailed force decomposition reveals that the optimal swimmer minimizes resistive drag and maximizes constructive work contributions, particularly in the anterior and posterior body regions. Spatial and temporal work decomposition indicates a strategic redistribution of input and recovered energy, enhancing performance while reducing energetic cost relative to propulsive force. These findings demonstrate that morphing-based parametric design, when guided by surrogate-assisted optimization, offers a powerful framework for discovering energetically efficient swimming gaits, with significant implications for the design of autonomous underwater propulsion systems and the broader field of bio-inspired locomotion.","short_abstract":"Nature has always inspired scientists and engineers to understand the underlying mechanism leading to optimal design in bio-inspired dynamics. This study presents a computational framework for optimizing undulatory swimming profiles using a combination of Design-by-Morphing and Bayesian optimization strategies. The swi...","url_abs":"https://arxiv.org/abs/2510.00044","url_pdf":"https://arxiv.org/pdf/2510.00044v3","authors":"[\"Hamayun Farooq\",\"Imran Akhtar\",\"Muhammad Saif Ullah Khalid\",\"Haris Moazam Sheikh\"]","published":"2025-09-27T09:24:18Z","proceeding":"physics.flu-dyn","tasks":"[\"physics.flu-dyn\",\"cs.CG\",\"math.OC\"]","methods":"[\"LoRA\"]","has_code":false}