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Second Thermal and Fluids Engineering  Conference

ISSN: 2379-1748


Olubunmi T. Popoola
Department of Mechanical and Materials Engineering, Florida International University, Miami, Florida 33174, USA

A. Bamgbade
Florida International University, Miami, Florida 33174, United States of America

Y. Cao
Florida International University, Miami, Florida 33174, United States of America

DOI: 10.1615/TFEC2017.fnn.017562
pages 1829-1839


A solenoid driven Reciprocating-Mechanism Driven Heat Loops (RMDHL) is a novel heat transfer device that could attain a high heat transfer rate through a reciprocating flow of the working fluid inside the heat transfer device. Experimental results have shown that a two phase solenoid driven RMDHL can handle heat flux in excess of 300 W/cm2. Existing numerical models of the solenoid driven RMDHL adopt a closed loop configuration to provide the reciprocating motion of the fluid in the loop. This however require that considerable resources be devoted into the mechanical and Finite element analysis required to close the loop and provide the reciprocating motion to the working fluid. In a bid to reduce computational loads and focus computing resources on the fluid mechanics, a simplified three dimensional, two phase Eulerian numerical model of the solenoid driven RMDHL has been developed The reciprocating velocity and fluid properties for the fluid is generated using a virtual loop written in 'C' programing language. The virtual loop eliminates the mechanical and Finite element analysis hitherto required in the closed loop configuration. The control volume technique is used for discretizing governing equations, the SIMPLEC algorithm for pressure-velocity coupling, the shear stress transport k-ε model for turbulent flow, the Boussinesq approximation has been assumed and the equations have been solved using the CFD solver FLUENT. The mechanism for vapour generation and transport within the reciprocating loop has been studied and the numerical results obtained are compared with existing experimental results. It is expected that the results will help improve the accuracy of the work on the RMDHL model.

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