RESEARCH OF PROPULSION-SYSTEM-SURROGATE-MODELING METHOD USING INFILL CRITERION SAMPLES

Dongchen Wang, Bifeng Song, Haifeng Wang, Jun Jiao

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

Abstract

An accurate model of propulsion system is important to high altitude aircraft design. However, traditional approaches predicting propeller performance are often time-consuming. In this paper, a surrogate modeling method using infill criterion samples was chosen to refine the design process and reduce the time consumption. The results of this study show that the combination of infill criteria based surrogate model method and low-fidelity simulation can achieve comparable accuracy (average error of 5%) in prediction with the traditional approaches.

Original languageEnglish
Title of host publication32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2021
PublisherInternational Council of the Aeronautical Sciences
ISBN (Electronic)9783932182914
StatePublished - 2021
Event32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2021 - Shanghai, China
Duration: 6 Sep 202110 Sep 2021

Publication series

Name32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2021

Conference

Conference32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2021
Country/TerritoryChina
CityShanghai
Period6/09/2110/09/21

Keywords

  • Design of experiments
  • High altitude aircraft propeller design
  • Infill criterion
  • Surrogate model

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