You are here

Large Eddy Simulation (LES) Flow Solver Suitable for Modeling Conjugate Heat Transfer

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0801
Agency Tracking Number: N19B-027-0088
Amount: $139,997.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N19B-T027
Solicitation Number: 19.B
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-09-11
Award End Date (Contract End Date): 2020-03-11
Small Business Information
635 Discovery Dr. NW
Huntsville, AL 35806
United States
DUNS: 622989239
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Bono Wasistho Bono Wasistho
 Senior Research Scientist
 (256) 763-6500
Business Contact
 Tom Young
Phone: (256) 489-2346
Research Institution
 North Carolina State University (NCSU)
 Justo Torres Justo Torres
2701 Sullivan Drive, Suite 240 Admin Services III; Box 7214
Raleigh, NC 27695
United States

 (919) 515-2153
 Nonprofit College or University

Accurate prediction heat transfer in gas turbine components subject to cooling requires high fidelity modeling of heat transfer in the presence of high Reynolds number turbulent flow. The cooling internal to the blades results in sustained temperature gradients within the structural parts, from low temperature in the interior of the structure to increasingly higher temperature closer to the surface subject to viscous heating and multiphase flow phenomena, such as deposition of hot particles inside gas turbine. Consequently, the heat conduction equation needs to be solved to capture the thermal behavior within the structural part. To this end, two main ingredients play significant role in modeling this high Reynolds number turbulent heat transfer phenomenon, namely Wall Layer Modeling of Large Eddy Simulation (LES-WLM) and Conjugate Heat Transfer (CHT) which governs the thermal coupling between fluid and solid. This project offers a tremendous opportunity to perform feasibility study of turbulent CHT simulations using WMLES in both monolithic and segregated modes. It should be noted that having all the fluid and solid physics modeling covered in a single solver – the monolithic approach – is not necessarily more efficient since we are dealing with fluid-solid time scale disparity.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government