A Transport Equation Approach to Modeling the Influence of Surface Roughness on Boundary Layer Transition

Technical Report · Sun Oct 01 04:00:00 EDT 2017

DOI:https://doi.org/10.2172/1596203· OSTI ID:1596203

Langel, Christopher M. ^[1]; Chow, Raymond C. ^[1]; van Dam, C. P. ^[1]; Maniaci, David Charles ^[2]

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1. Univ. of California, Davis, CA (United States)
2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

A computational investigation has been performed to better understand the impact of surface roughness on the flow over a contaminated surface. This report highlights the implementation and development of the roughness amplication model in the flow solver OVER FLOW-2. The model, originally proposed by Dassler, Kozulovic, and Fiala, introduces an additional scalar field roughness amplification quantity. This value is explicitly set at rough wall boundaries using surface roughness parameters and local flow quantities. The additional transport equation allows non-local effects of surface roughness to be accounted for downstream of rough sections. This roughness amplification variable is coupled with the Langtry-Menter model and used to modify the criteria for transition. Results from at plate test cases show good agreement with experimental transition behavior on the flow over varyings and grain roughness heights. Additional validation studies were performed on a NACA 0012 airfoil with leading edge roughness. The computationally predicted boundary layer development demonstrates good agreement with experimental results. New tests using varying roughness configurations have been carried out at the Texas A&M Oran W. Nicks Low Speed Wind Tunnel to provide further calibration of the roughness amplification method. An overview and preliminary results are provided of this concurrent experimental investigation.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office; National Science Foundation (NSF)
• DOE Contract Number: AC04-94AL85000; NA0003525
• OSTI ID: 1596203
• Report Number(s): SAND--2017-10670; 657343
• Country of Publication: United States
• Language: English

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