@inproceedings{bf2aa85c075a4fffa84fa80e9208817b,
title = "Electric Propulsion Architecture Assessment via Signomial Programming",
abstract = "This paper presents the application of signomial programming to the assessment and multidisciplinary optimization of electric propulsion systems. Analytic models for electrical and mechanical propulsion system components are developed that are compatible with the signo-mial programming objective and constraint forms. These models capture the dependence of mass and efficiency on material properties and operating conditions. Standalone optimization of the electrical cable and motor model illustrates a trade-off between mass and efficiency at the component level. These component models are subsequently integrated into various propulsion architectures and are optimized while taking into account the component dependencies (e.g., fan and motor shaft speed). Specifically, turbofan, turboelectric and geared turboelectric propulsion architectures are optimized on the metrics of fuel consumption and propulsion system mass. The results show that the optimal component masses and efficiencies depend on the propulsion architecture, operating point, and performance metric under consideration, and that signomial programming is useful for determining them.",
author = "Dowdle, {Aidan P.} and Hall, {David K.} and Lang, {Jeffrey H.}",
note = "Funding Information: This work was supported by the Leading Edge Aeronautics Research for NASA (LEARN) project, awarded under solicitation NNH15ZEA001N-LEARN3, and the NASA Aeronautics Graduate Scholarship Grant No. NNX17AB22H. The authors would like to thank W. H. Hoburg and E. E. Burnell of MIT for their assistance with the GPkit framework, E. M. Greitzer, Z. S. Spakovszky, and J. S. Sabnis of MIT and S. Byahut, M. Kruger, and A. Uranga of USC for their guidance over the course of the LEARN project, and R. F. Beach and R. H. Jansen for their helpful feedback during LEARN reviews. Publisher Copyright: {\textcopyright} 2018 AIAA.; 2018 AIAA/IEEE Electric Aircraft Technologies Symposium, EATS 2018 ; Conference date: 12-07-2018 Through 14-07-2018",
year = "2018",
month = nov,
day = "29",
doi = "10.2514/6.2018-5026",
language = "English (US)",
series = "2018 AIAA/IEEE Electric Aircraft Technologies Symposium, EATS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 AIAA/IEEE Electric Aircraft Technologies Symposium, EATS 2018",
address = "United States",
}