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Direct numerical simulation of a starting rotorat Rec = 15000
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics.ORCID iD: 0000-0002-3814-7919
Institute of Fluid Mechanics (LSTM), Friedrich–Alexander–Universität Erlangen–Nürnberg, 91058, Erlangen, Germany.
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics.ORCID iD: 0000-0002-7448-3290
KTH, School of Engineering Sciences (SCI), Engineering Mechanics. Institute of Fluid Mechanics (LSTM), Friedrich–Alexander–Universität Erlangen–Nürnberg, 91058, Erlangen, Germany.ORCID iD: 0000-0001-6733-9744
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2025 (English)In: Journal of Visualization, ISSN 1343-8875, E-ISSN 1875-8975, Vol. 28, no 6, p. 1083-1090Article in journal (Refereed) Published
Abstract [en]

Rotors play a major role in various applications including ventilation and propulsion systems such as in helicopters, drones, gas turbines and wind turbines. This visualization of instantaneous vortical structures (identified by the k2 criterion) shows complex flow structures emanating from a twisted drone rotor that is impulsively starting to rotate at 1600 rpm. Initially, a starting vortex is formed as a result of lift generation and shed as a connected vortex tube from the entire surface of the blade, which has a strong connection to the blade tip via the so-called tip vortex. Leading edge separation occurs at span positions of high twist, followed by wave-induced breakdown to turbulence along the whole wing span. This turbulence then sheds as small-scale vortices into the wake and dissipates. Understanding the behaviour of these vortices from such complex blades and how they interact with the other blade is critical to design more efficient and potentially more silent propellers.

Place, publisher, year, edition, pages
Springer Nature , 2025. Vol. 28, no 6, p. 1083-1090
Keywords [en]
Drone rotor, Adaptive mesh refinement, Spectral element method, Leading edge vortex, Tip vortex, Propeller
National Category
Fluid Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-371692DOI: 10.1007/s12650-025-01085-2ISI: 001590961400001Scopus ID: 2-s2.0-105018690007OAI: oai:DiVA.org:kth-371692DiVA, id: diva2:2006936
Funder
KTH Royal Institute of Technology
Note

QC 20260123

Available from: 2025-10-16 Created: 2025-10-16 Last updated: 2026-01-23Bibliographically approved

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Stanly, RonithPeplinski, AdamToosi, SiavashJansson, NiclasMukha, TimofeySchlatter, Philipp

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