Automotive aerodynamics prediction using a fast transient solver for low-Mach number compressible flow

L. Yu, S. Diasinos, B. Thornber

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

Abstract

This paper presents a fractional step time stepping scheme for low-Mach number compressible flow. The advantage of the proposed scheme compared to the iterative SIMPLEC is significant saving in computation effort while preserving secondorder accuracy. The proposed scheme and a transient SIMPLEC algorithm are verified and validated using a 2D convective isentropic vortex to qualitatively evaluate their convergence properties. Both schemes are stable at convective Co number equal one, and acoustic CFL greater than one. The L2 error norms of both schemes show second order accuracy, but the proposed scheme uses significantly less computation effort. Next, the aerodynamics of flow past a SAE 20◦ Notchback Model is predicted using the proposed scheme. Results of the SAE Model show good grid convergence, and good agreement in surface pressure coefficients with experimental measurement.
Original languageEnglish
Title of host publicationProceedings of the 22nd Australasian Fluid Mechanics Conference AFMC2020
EditorsH. Chanson, R. Brown
Place of PublicationBrisbane
PublisherThe University of Queensland
Number of pages4
ISBN (Electronic)9781742723419
DOIs
Publication statusPublished - 2020
EventAustralasian Fluid Mechanics Conference (22nd : 2020) - Brisbane, Australia
Duration: 7 Dec 202010 Dec 2020
Conference number: 22nd

Conference

ConferenceAustralasian Fluid Mechanics Conference (22nd : 2020)
Abbreviated titleAFMC2020
CountryAustralia
CityBrisbane
Period7/12/2010/12/20

Bibliographical note

Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Fractional step method
  • Automotive aerodynamics
  • Low-Mach number compressible flow

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