Mechanical and Aerospace Engineering

MAE 297 Seminar – Chris Langel

Chris Langel

B.S. (2010) Mechanical Engineering – UC Berkeley

M.S. (2014) Mechanical and Aerospace Engineering – UC Davis

Topic: A Correlation Based Method for Predicting the Influence of Surface Roughness on Boundary Layer Transition

Surface roughness plays an inevitable role in a variety of aerodynamic applications, from turbomachinery to wind turbine blades. The wind industry has seen a rising interest in quantifying the effects of surface roughness to better approximate power output and provide guidance for maintenance cycles. The effects of surface roughness are difficult to quantify exactly due to the complex physical phenomena involved. A full resolution of the flow perturbations introduced by surface roughness is prohibitively expensive computationally due to the length scales involved. The development of correlation based methods for transition prediction has helped overcome some of the physical challenges of modeling intricate flow features by constructing simplified empirical relationships that can be computed in modern CFD codes. The talk explores an extension of a correlation based transition model to account for the effects of surface roughness on boundary layer transition. Through the use of a scalar transport equation, a region where the surface roughness impacts the flow is defined. The formulation is such that it can capture upstream and time history effects with only a boundary condition at rough walls. A description of the calibration process will also be discussed including technical and practical considerations related to the implementation.

For more information, contact Professor Soshi:

Date(s) - 11/17/2016
4:10 pm - 5:00 pm

1062 Bainer Classroom


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