{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T07:03:52Z","timestamp":1776150232019,"version":"3.50.1"},"reference-count":52,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2021,10,14]],"date-time":"2021-10-14T00:00:00Z","timestamp":1634169600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMSE"],"abstract":"<jats:p>In this study, a Reynolds averaged Navier-Stokes solver is used for prediction of the propeller performance in open-water conditions at different Reynolds numbers ranging from 104 to 107. The k\u2212\u03c9 SST turbulence model and the \u03b3\u2212R\u02dce\u03b8t correlation-based transition model are utilised and results compared for a conventional marine propeller. First, the selection of the turbulence inlet quantities for different flow regimes is discussed. Then, an analysis of the iterative and discretisation errors is made. This work is followed by an investigation of the predicted propeller flow at variable Reynolds numbers. Finally, the propeller scale-effects and the influence of the turbulence and transition models on the performance prediction are discussed. The variation of the flow regime showed an increase in thrust and decrease in torque for increasing Reynolds number. From the comparison between the turbulence model and the transition model, different flow solutions are obtained for the Reynolds numbers between 105 and 106, affecting the scale-effects prediction.<\/jats:p>","DOI":"10.3390\/jmse9101115","type":"journal-article","created":{"date-parts":[[2021,10,14]],"date-time":"2021-10-14T09:10:49Z","timestamp":1634202649000},"page":"1115","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Prediction of the Propeller Performance at Different Reynolds Number Regimes with RANS"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4800-9138","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Baltazar","sequence":"first","affiliation":[{"name":"MARETEC\u2014Marine, Environment and Technology Centre, LARSyS, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal"}]},{"given":"Douwe","family":"Rijpkema","sequence":"additional","affiliation":[{"name":"MARIN\u2014Maritime Research Institute Netherlands, 2 Haagsteeg, 6708 PM Wageningen, The Netherlands"}]},{"given":"Jos\u00e9","family":"Falc\u00e3o de Campos","sequence":"additional","affiliation":[{"name":"MARETEC\u2014Marine, Environment and Technology Centre, LARSyS, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,14]]},"reference":[{"key":"ref_1","unstructured":"ITTC (2017, January 18\u201322). 1978 ITTC Performance Prediction Method. Section 7.5-02-03-01.4. Proceedings of the 28th International Towing Tank Conference, Wuxi, China."},{"key":"ref_2","unstructured":"ITTC Propulsion Committee (September, January 31). Final Report and Recommendations to the 27th ITTC. 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