Computational Aerodynamic Modeling of Aerospace Vehicles (Volume II)

A special issue of Aerospace (ISSN 2226-4310).

Deadline for manuscript submissions: closed (15 March 2021) | Viewed by 3845

Special Issue Editors


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Guest Editor
School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield MK43 0AL, UK
Interests: turbulent reacting flows; direct-numerical simulations; large-eddy simulations
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Guest Editor
Research Scientist at US Air Force Academy, High Performance Computing Research Center, HQ USAFA/DFAN, 2354 Fairchild Dr, 6H148, United States Air Force Academy, Colorado, CO 80840, USA
Interests: computational aerodynamics; unsteady aerodynamics; compressible flow; aircraft design; flight dynamics; gas turbine and rocket propulsion; system identification
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Currently, the use of computational fluid dynamics (CFD) solutions is considered as the state-of-the-art in the modeling of unsteady nonlinear flow physics and offers an early and improved understanding of air vehicle aerodynamics and stability and control characteristics. This Special Issue of Aerospace covers recent computational efforts on the simulation of aerospace vehicles including fighter aircraft, rotorcraft, propeller-driven vehicles, unmanned vehicles, projectiles, and air drop configurations. The complex flow physics of these configurations pose significant challenges in CFD modeling. Some of these challenges include prediction of vortical flows and shock waves, rapid maneuvering aircraft with fast-moving control surfaces, and interactions between propellers and wing, fluid and structure, and boundary layer and shock waves. 

This Special Issue is also interested in the use of CFD tools in aircraft design and flight mechanics. The problem with these applications is the computational cost involved, particularly if this is viewed as a brute-force calculation of a vehicle’s aerodynamics through its flight envelope. To make progress in routinely using CFD in aircraft design, methods based on sampling, model updating, and system identification should be considered. The editor of this Special Issue invites authors to submit papers on the challenges in CFD modeling of various aerospace vehicles and developing methods that will accelerate the generation of aerodynamic models using CFD.

Dr. Karl Jenkins
Dr. Mehdi Ghoreyshi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Aerospace is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Computational fluid dynamics
  • Unsteady aerodynamics
  • Propeller/wing interaction
  • Fluid–structure interaction
  • Reduced-order aerodynamic modeling
  • System identification
  • Air drop configurations
  • Aerodynamic modeling of maneuvering aircraft
  • Aerodynamics of missile configurations
  • Aerodynamics modeling of control surfaces (overset grid, transpiration boundary condition, grid deformation methods, etc.)
  • Gust modeling

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Published Papers (1 paper)

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Research

19 pages, 6048 KiB  
Article
Application of the HPCMP CREATETM-AV Kestrel to an Integrated Propeller Prediction
by Pooneh Aref, Mehdi Ghoreyshi, Adam Jirasek and Jürgen Seidel
Aerospace 2020, 7(12), 177; https://doi.org/10.3390/aerospace7120177 - 11 Dec 2020
Cited by 4 | Viewed by 3089
Abstract
This article presents the results of a computational investigation of an integrated propeller test case using the HPCMP CREATETM-AV Kestrel simulation tools. There is a renewed interest in propeller-driven aircraft for unmanned aerial vehicles, electric aircraft, and flying taxies. Computational resources [...] Read more.
This article presents the results of a computational investigation of an integrated propeller test case using the HPCMP CREATETM-AV Kestrel simulation tools. There is a renewed interest in propeller-driven aircraft for unmanned aerial vehicles, electric aircraft, and flying taxies. Computational resources can significantly accelerate the generation of aerodynamic models for these vehicles and reduce the development cost if the prediction tools can accurately predict the aircraft/propeller aerodynamic interactions. Unfortunately, limited propeller experimental data are available to validate computational methods. An American Institute of Aeronautics and Astronautics (AIAA) workshop was therefore established to address this problem. The objective of this workshop was to generate an open access-powered wind tunnel test database for computational validation of propeller effects on the wing aerodynamics, specifically for wing-tip-mounted propellers. The propeller selected for the workshop has four blades and a diameter of 16.2 in. The wing has a root and tip chord of 11.6 and 8.6 in, respectively. Two different simulation approaches were used: one using a single grid including wind tunnel walls and the second using a subset grid overset to an adaptive Cartesian grid that fills the space between the near-body grid and wind tunnel walls. The predictions of both approaches have been compared with available experimental data from the Lockheed Martin low-speed wind tunnel to investigate the grid resolution required for accurate prediction of flowfield data. The results show a good agreement for all tested conditions. The measured and predicted data show that wing aerodynamic performance is improved by the spinning tip-mounted propeller. Full article
(This article belongs to the Special Issue Computational Aerodynamic Modeling of Aerospace Vehicles (Volume II))
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