A device for reducing the resistance of transom stern hulls
2021 (English)In: Ocean Engineering, ISSN 0029-8018, E-ISSN 1873-5258, Vol. 235, article id 109351Article in journal (Refereed) Published
Abstract [en]
A novel idea to reduce the resistance of a transom stern hull in displacement and semi-planing modes is investigated. By placing a spoon-shaped device in the recirculating zone behind the transom, the momentum of the forward-moving water will be absorbed, and a pushing force generated on the device. Numerical and experimental techniques are applied on a transom stern hull to optimize the shape and position of the device and to explore in detail the physics behind the gain. For the towed hull at a Froude number of 0.4, the maximum measured resistance reduction is 11%, while the computed maximum reduction is 17%. In self-propulsion with one propeller, the measured power reduction is 15%. The power cannot be computed with the applied propeller model, which is an axial body-force distribution in the propeller disk, but the reduction in thrust using the device is 11%. More significant gains are possible at smaller Froude numbers, while the effect is reduced at higher Froude numbers. Larger gains are achieved by splitting the thrust on two propellers. © 2021 The Authors
Place, publisher, year, edition, pages
Elsevier Ltd , 2021. Vol. 235, article id 109351
Keywords [en]
High-speed, Recirculation zone, Resistance reduction, Transom clearance, Transom flow, Froude number, % reductions, High Speed, Moving water, Numerical techniques, Pushing forces, Recirculation zones, Transom stern, Propellers, experimental study, flow field, hull, momentum, recirculating system, ship design, ship motion
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:ri:diva-57266DOI: 10.1016/j.oceaneng.2021.109351Scopus ID: 2-s2.0-85109027262OAI: oai:DiVA.org:ri-57266DiVA, id: diva2:1619247
Note
Funding details: Trafikverket, FUD 6482 (2018; Funding text 1: The support from Kongsberg Maritime in Sweden through Chalmers University Technology Centre and The Swedish Transport Administration (Trafikverket) through the grant FUD 6482 (2018) is gratefully acknowledged. The simulations were performed on high-performance computing resources at Chalmers Centre for Computational Science and Engineering (C3SE) as well as the National Supercomputer Centre at Linköping University (NSC) provided by the Swedish National Infrastructure for Computing (SNIC). SSPA Sweden AB is acknowledged for providing the experimental data.
2021-12-132021-12-132022-11-29Bibliographically approved