A Framework of gradient-based shape optimization using feature-based CAD parameterization

Liang Sun, Weigang Yao, Trevor T. Robinson, Simao Marques, Cecil G. Armstrong

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

This paper presents a framework of performing aerodynamic shape optimization using the feature-based CAD system, which is widely used in aerospace industry. An interface is set up to communicate between the system installs the CAD package and the system installs the CFD solver. Mesh is adapted to fit the new CAD model after each parametric update by performing surface mesh deformation and volume mesh deformation in sequence. The proposed framework can be easily integrated into the industrial product design and analysis process.
Original languageEnglish
DOIs
Publication statusE-pub ahead of print - 5 Jan 2020
EventAIAA Scitech 2020 Forum - Orlando, United States
Duration: 6 Jan 202010 Jan 2020
https://arc.aiaa.org/doi/book/10.2514/MSCITECH20

Conference

ConferenceAIAA Scitech 2020 Forum
CountryUnited States
CityOrlando
Period6/01/2010/01/20
Internet address

Bibliographical note

Publisher Copyright:
© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Fingerprint

Dive into the research topics of 'A Framework of gradient-based shape optimization using feature-based CAD parameterization'. Together they form a unique fingerprint.

Cite this