Akinmulewo, DanielDanielAkinmulewoRubino, GinevraGinevraRubinoGosda, RolandRolandGosdaAbdel-Maksoud, MoustafaMoustafaAbdel-MaksoudGrashorn, HenningHenningGrashorn2023-12-052023-12-05202313th Symposium on High Speed Marine Vehicles (Hsmv 2023)978-1-64368-442-0978-1-64368-443-7https://hdl.handle.net/11420/44471The growing demand to reduce emissions and the increasing awareness of the negative environmental impact of ships and high-speed marine vessels have influenced the traditional methods employed in the design of ship propulsion systems. In this context, more emphasis has been placed on the design of ship propellers and determining the optimum axial position, while operating in the ship wake-field. The interaction parameters between the hull and propeller, mainly the wake fraction coefficient and thrust deduction factor, are required to determine the optimum propeller position for improved fuel and overall propulsive efficiency. For this purpose, a numerical analysis is performed to assess the influence of the axial position of the propeller on the propulsion performance and the hull-propeller interaction using the integration of three software: a propeller design and optimisation framework within the CAESES environment for a parametric variation of the propeller geometry, a CFD code FreSCo+, a joint development from the Hamburg Ship Model Basin (HSVA) and Hamburg University of Technology (TUHH) to perform the hydrodynamic evaluation of the hull and a propeller potential solver QCM (HSVA in house code). The coupling of the above procedure is applied to four axial positions of the propeller in calm water conditions without considering cavitation aspects to evaluate propeller-induced forces and hull-propeller interaction coefficients. Simulations are performed on a model-scale container ship and validated with the experimental results from HSVA.enAxial positionsComputational Fluid Dynamics (CFD)Computer Aided Engineering software CAESESpropeller-hull interactionself-propulsionComputer SciencesPhysicsEngineering and Applied OperationsConference Paper10.3233/PMST230033Conference Paper