The high versatility of additive manufacturing has led to an increase in use in a number of different fields. Surface roughness then comes as a natural consequence of additive manufacturing which interferes with a smooth wall assumption such as those found in gas turbine blades. The Discrete Element Roughness Method (DERM) has been used to improve convective heat transfer predictions on surface roughness. This work aims to validate the core momentum and heat transfer correlation of DERM through an evaluation of Computational fluid dynamics (CFD)-based solution of the flow around individual roughness elements with the goal of improving the correlations. More specifically, the matrix of scenarios evaluated using includes four different roughness elements at three different pressure drops and five flow rates. Results from these studies are to be used to validate and improve correlations used to approximate roughness in DERM. For each element, a steady and unsteady case are conducted and analyzed. The momentum and heat loss results obtained from the CFD are then compared to the DERM-based predictions from the same roughness elements in search of any discrepancies. It is observed the DERM correlations deviate from the CFD prediction with increasing element height.
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Master of Science in Aerospace Engineering (M.S.A.E.)
College of Engineering and Computer Science
Mechanical and Aerospace Engineering
Aerospace Engineering; Thermofluid Aerodynamic Systems
Length of Campus-only Access
Masters Thesis (Open Access)
Urcia, Jose, "Evaluation of Convective Heat Transfer Numerical Methods on Rough Surfaces from Additive Manufacturing" (2020). Electronic Theses and Dissertations, 2020-. 307.