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Yong X. Tao

Researcher at Cleveland State University

Publications -  48
Citations -  1255

Yong X. Tao is an academic researcher from Cleveland State University. The author has contributed to research in topics: Heat transfer & Heat flux. The author has an hindex of 17, co-authored 48 publications receiving 1123 citations. Previous affiliations of Yong X. Tao include Florida International University & Nova Southeastern University.

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A procedure to select working fluids for Solar Organic Rankine Cycles (ORCs)

TL;DR: In this article, a procedure to compare ORC working fluids based on their molecular components, temperature-entropy diagram and fluid effects on the thermal efficiency, net power generated, vapor expansion ratio, and exergy efficiency of the Rankine cycle has been proposed.
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A mathematical model for predicting the densification and growth of frost on a flat plate

TL;DR: In this article, the spatial distribution of the temperature, ice-phase volume fraction (related to frost density), and rate of phase change within the frost layer are predicted using a local volume averaging technique.
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A numerical model for phase-change suspension flow in microchannels

TL;DR: In this paper, a model for simulation of the laminar hydrodynamic and heat transfer characteristics of suspension flow with micro-nano-size phase-change material (PCM) particles in a microchannel was developed.
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Thermal analysis on a segmented thermoelectric generator

TL;DR: In this article, a design methodology, formulated on mathematical analysis and performed by spreadsheet calculation, was advanced to derive the optimum efficiency and geometrical dimensions of the STEG (segmented thermoelectric generator) module operating between 300 K and 780 K.
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Performance Evaluation of Liquid Flow With PCM Particles in Microchannels

Abstract: A two-phase, non thermal equilibrium-based model is applied to the numerical simulation of laminar flow and heat transfer characteristics of suspension with microsize phase-change material (PCM) particles in a microchannel. The model solves the conservation of mass, momentum, and thermal energy equations for liquid and particle phases separately. The study focuses on the parametric study of optimal conditions where heat transfer is enhanced with an increase in fluid power necessary for pumping the two-phase flow