Turbofan Engine Sizing and Tradeoff Analysis via Signomial Programming
This paper presents a full one-dimensional core and fan flowpath turbofan optimization model, based on first principles, and meant to be used during aircraft conceptual design optimization. The model is formulated as a signomial program, which is a type of optimization problem that can be solved loc...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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American Institute of Aeronautics and Astronautics (AIAA)
2020
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| Online Access: | https://hdl.handle.net/1721.1/125339 |
| _version_ | 1811076606469341184 |
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| author | York, Martin A. Hoburg, Warren W Drela, Mark |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics York, Martin A. Hoburg, Warren W Drela, Mark |
| author_sort | York, Martin A. |
| collection | MIT |
| description | This paper presents a full one-dimensional core and fan flowpath turbofan optimization model, based on first principles, and meant to be used during aircraft conceptual design optimization. The model is formulated as a signomial program, which is a type of optimization problem that can be solved locally using sequential convex optimization. Signomial programs can be solved reliably and efficiently and are straightforward to integrate with other optimization models in an all-at-once manner. To demonstrate this, the turbofan model is integrated with a simple commercial aircraft sizing model. The turbofan model is validated against the Transport Aircraft System Optimization turbofan model as well as two Georgia Institute of Technology Numerical Propulsion System Simulation turbofan models. Four integrated engine/aircraft parametric studies are performed, including a multimission optimization with over 2400 variables that solves in under 4 s. |
| first_indexed | 2024-09-23T10:24:49Z |
| format | Article |
| id | mit-1721.1/125339 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:24:49Z |
| publishDate | 2020 |
| publisher | American Institute of Aeronautics and Astronautics (AIAA) |
| record_format | dspace |
| spelling | mit-1721.1/1253392022-09-30T20:57:37Z Turbofan Engine Sizing and Tradeoff Analysis via Signomial Programming York, Martin A. Hoburg, Warren W Drela, Mark Massachusetts Institute of Technology. Department of Aeronautics and Astronautics This paper presents a full one-dimensional core and fan flowpath turbofan optimization model, based on first principles, and meant to be used during aircraft conceptual design optimization. The model is formulated as a signomial program, which is a type of optimization problem that can be solved locally using sequential convex optimization. Signomial programs can be solved reliably and efficiently and are straightforward to integrate with other optimization models in an all-at-once manner. To demonstrate this, the turbofan model is integrated with a simple commercial aircraft sizing model. The turbofan model is validated against the Transport Aircraft System Optimization turbofan model as well as two Georgia Institute of Technology Numerical Propulsion System Simulation turbofan models. Four integrated engine/aircraft parametric studies are performed, including a multimission optimization with over 2400 variables that solves in under 4 s. 2020-05-20T13:48:13Z 2020-05-20T13:48:13Z 2017-11 2017-03 2019-10-25T14:04:21Z Article http://purl.org/eprint/type/JournalArticle 0021-8669 1533-3868 https://hdl.handle.net/1721.1/125339 York, Martin A., Hoburg, Warren W. and Drela, Mark. "Turbofan Engine Sizing and Tradeoff Analysis via Signomial Programming." Journal of Aircraft 55, 3 (May 2018): 988-1003 © 2017 The Author(s) en http://dx.doi.org/10.2514/1.c034463 Journal of Aircraft Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf American Institute of Aeronautics and Astronautics (AIAA) MIT web domain |
| spellingShingle | York, Martin A. Hoburg, Warren W Drela, Mark Turbofan Engine Sizing and Tradeoff Analysis via Signomial Programming |
| title | Turbofan Engine Sizing and Tradeoff Analysis via Signomial Programming |
| title_full | Turbofan Engine Sizing and Tradeoff Analysis via Signomial Programming |
| title_fullStr | Turbofan Engine Sizing and Tradeoff Analysis via Signomial Programming |
| title_full_unstemmed | Turbofan Engine Sizing and Tradeoff Analysis via Signomial Programming |
| title_short | Turbofan Engine Sizing and Tradeoff Analysis via Signomial Programming |
| title_sort | turbofan engine sizing and tradeoff analysis via signomial programming |
| url | https://hdl.handle.net/1721.1/125339 |
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