Lead PI: Dr Danlei Yang, Cranfield University

Summary:

Global shipping industry faces a sustainability crisis from massive fuel consumption, carbon emissions, and underwater noise harming marine biodiversity. Addressing these requires urgent innovation.

This project develops a Humpback-Whale-inspired leading-edge tubercle (LET) propulsion device, proposing Physics-Informed Neural Networks (PINNs)-Based design and establishing Digital Twin diagnostic at Cranfield University Ocean Tank. By anchoring digital models in rigorous physical testing, the research optimizes LET configurations to boost propulsive efficiency and reduce acoustic footprints. This provides a high confidence, retrofit decarbonisation strategy for the current fleet, supporting the clean maritime transition while protecting ecosystems.