Abstract

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.

Notes

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Graduation Date

2020

Semester

Summer

Advisor

Kinzel, Michael

Degree

Master of Science in Aerospace Engineering (M.S.A.E.)

College

College of Engineering and Computer Science

Department

Mechanical and Aerospace Engineering

Degree Program

Aerospace Engineering; Thermofluid Aerodynamic Systems

Format

application/pdf

Identifier

CFE0008256; DP0023610

URL

https://purls.library.ucf.edu/go/DP0023610

Language

English

Release Date

8-15-2020

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

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