HEMLAB ALE Algorithm Applied to AIAA Rotorcraft Hover Prediction Workshop

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Capabilities of In-house HEMLAB solver is extended by implementing an ALE approach. Developed algorithm is validated on 2D heaving and pitching NACA0012 cases proposed under HiOCFD4. Then, it is employed to asses the hover performance of S-76 main rotor. Since the rotor problems requires high resolution grids, adaptive mesh refinement is exploited in the study. pyAMG anisotropic metric mesh adaptation library was integrated to HEMLAB previously to do mesh refinement. In the study the capabilities of HEMLAB solver is further tested on such a complex flow physics. Three different Euler simulations are conducted to assess effects of the mesh adaptation and different flux schemes. Finally, it is shown that the algorithm works well for RANS simulations as well.

Original languageEnglish
Title of host publicationAIAA Aviation Forum and ASCEND, 2024
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624107160
DOIs
Publication statusPublished - 2024
EventAIAA Aviation Forum and ASCEND, 2024 - Las Vegas, United States
Duration: 29 Jul 20242 Aug 2024

Publication series

NameAIAA Aviation Forum and ASCEND, 2024

Conference

ConferenceAIAA Aviation Forum and ASCEND, 2024
Country/TerritoryUnited States
CityLas Vegas
Period29/07/242/08/24

Bibliographical note

Publisher Copyright:
© 2024, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

Fingerprint

Dive into the research topics of 'HEMLAB ALE Algorithm Applied to AIAA Rotorcraft Hover Prediction Workshop'. Together they form a unique fingerprint.

Cite this