Rapid computational aerodynamic analysis for multi-rotor aircraft
Abstract/Contents
- Abstract
- In recent years, multi-rotor aircraft have generated significant interest across the aviation industry, resulting in many new aircraft configurations. These aircraft are typically electric or hybrid-electric and leverage the general scale-invariance of distributed electric propulsion. As a result, hundreds of novel multi-rotor vehicle concepts have arisen. In this work, a medium-fidelity simulation capability is developed for multi-rotor aircraft, which solves the Euler equations on a Cartesian mesh with embedded boundaries. The approach is designed to handle arbitrarily-complex geometry and non-linear aerodynamics while retaining a computational cost that is affordable in the preliminary design process. It leverages the integral velocity sampling (IVS) method for angle of attack prediction, resulting in accurate performance estimates for both isolated rotors and full-vehicle DJI Phantom 3 simulations. In addition, this work also investigates algorithmic robustness throughout the solution process, from mesh generation to unsteady flow simulations
Description
Type of resource | text |
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Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2020; ©2020 |
Publication date | 2020; 2020 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Chiew, Jonathan Jiet-San |
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Degree supervisor | Alonso, Juan José, 1968- |
Degree supervisor | Jameson, Antony, 1934- |
Thesis advisor | Alonso, Juan José, 1968- |
Thesis advisor | Jameson, Antony, 1934- |
Associated with | Stanford University, Department of Aeronautics & Astronautics |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Jonathan Jiet-San Chiew |
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Note | Submitted to the Department of Aeronautics & Astronautics |
Thesis | Thesis Ph.D. Stanford University 2020 |
Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Jonathan Jiet-San Chiew
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