0
research-article

AUTOMATED DESIGN OPTIMIZATION OF A SMALL-SCALE HIGH-SWIRL CAVITY-STABILIZED COMBUSTOR

[+] Author and Article Information
Alejandro Briones

University of Dayton Research Institute, Dayton, OH, USA
alejandro.briones@udri.udayton.edu

David L Burrus

Innovative Scientific Solutions, Inc., Dayton, OH, USA
dburrus1151@gmail.com

Joshua P Sykes

Innovative Scientific Solutions, Inc., Dayton, OH, USA
joshua.sykes.3.ctr@us.af.mil

Brent Rankin

Air Force Research Laboratory, WPAFB, OH, USA
brent.rankin.1@us.af.mil

Andrew W Caswell

Air Force Research Laboratory, WPAFB, OH, USA
andrew.caswell.4@us.af.mil

1Corresponding author.

ASME doi:10.1115/1.4040821 History: Received June 22, 2018; Revised July 02, 2018

Abstract

A numerical optimization study is performed on a small-scale high-swirl cavity-stabilized combustor. A parametric geometry is created in CAD software that is coupled with meshing software. The latter automatically transfers meshes and boundary conditions to the solver, which is coupled with a post-processing tool. Steady, incompressible three-dimensional simulations are performed using a multi-phase Realizable k-epsilon Reynolds-averaged Navier-Stokes (RANS) approach with a non-adiabatic flamelet progress variable (FPV) model. There are nine geometrical input parameters. There are five output parameters, viz., pattern factor (PF), RMS of the profile factor deviation, averaged exit temperature, averaged exit swirl angle, and total pressure loss. An iterative design of experiments (DOE) with a recursive Latin Hypercube Sampling (LHS) is performed to filter the most important input parameters. The five major input parameters are found with Spearman's order-rank correlation and R2 coefficient of determination. The five input parameters are used for the adaptive multiple objective (AMO) optimization. This provided a candidate design point with the lowest weighted objective function, which was verified through CFD simulation. The combined filtering and optimization procedures improve the baseline design point in terms of pattern and profile factor. The former halved from that of the baseline design point whereas the latter turned from an outer peak to a center peak profile, closely mimicking an ideal profile. The exit swirl angle favorably increased 25%. The averaged exit temperature and the total pressure losses remained nearly unchanged from the baseline design point.

Section 4: U.S. Gov Employees + Reg Authors
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In