Title

Modeling of Structure-Controllable Optical Nanofluids

Presenter Information

Kaelyn Yarbrough

Department

Chemical and Biochemical Engineering

Major

Chemical Engineering

Research Advisor

Park, Joontaek

Advisor's Department

Chemical and Biochemical Engineering

Abstract

A mathematical model was developed to predict the orientation of nanoparticles in a nanofluid when exposed to solar energy through a photovoltaic cell. Shear rate and relative position in the nanofluid channel were combined with Peclet number data to relate incident sunlight angle with absorbance efficiency. The patterns of shear rate, nanorod tilt angle, and absorption efficiency varied with relative vertical position in the channel are discussed. A combination of these parameters was proposed. This data was used to develop a model to optimize heat transfer by the photovoltaic cell.

Biography

Kaelyn Yarbrough is a senior in Chemical Engineering graduating in May 2019. She is the secretary of Phi Sigma Rho Sorority and the president of the Residence Hall Association. Throughout her collegiate career, she has enjoyed conducting research through OURE and Honors Academy. After graduation, she will be employed in the oil field services industry.

Research Category

Research Proposals

Presentation Type

Poster Presentation

Document Type

Poster

Award

Research proposal poster session, First place

Location

Upper Atrium

Presentation Date

16 Apr 2019, 9:00 am - 3:00 pm

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Apr 16th, 9:00 AM Apr 16th, 3:00 PM

Modeling of Structure-Controllable Optical Nanofluids

Upper Atrium

A mathematical model was developed to predict the orientation of nanoparticles in a nanofluid when exposed to solar energy through a photovoltaic cell. Shear rate and relative position in the nanofluid channel were combined with Peclet number data to relate incident sunlight angle with absorbance efficiency. The patterns of shear rate, nanorod tilt angle, and absorption efficiency varied with relative vertical position in the channel are discussed. A combination of these parameters was proposed. This data was used to develop a model to optimize heat transfer by the photovoltaic cell.