Photo of Bo Kong

Bo Kong

Assistant Professor

    • Source: Scopus
    • Calculated based on no. of publications stored in Pure and citations from Scopus
    20032020

    Research activity per year

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    Personal profile

    Overview

    Bo Kong received both his B.Sc. and M.Sc. in Energy Engineering from Zhejiang University and his Ph.D. in Mechanical Engineering from Iowa State University (U.S.A.) in 2010. He worked as a postdoctoral research associate at the Department of Chemical and Biological Engineering of ISU, in general area of multiphase reaction engineering. Before joining GTIIT, he was a research scientist at Ames National Laboratory—U.S.DOE, studying multiphase flow modeling and liquid metal gas atomization.

    Prof. Bo Kong’s primary research interest is chemical process/reactor engineering, particularly those involving with multiphase flows, such as gas-liquid, liquid-liquid, and gas-solid flows. He has extensive background in both experimental (PIV, LIF, LDA, LCSM, etc.) and computational methods (TFM, QBMM, DPM, VOF, etc.) for studying fluid flow, heat/mass transfer, and reactions. His works have been published in top journals in chemical engineering, computational physics, and fluid dynamics. While in engineering practice, most of his previous research projects were associated with chemical, oil/gas, and pharmaceutical industries, such as Dow Chemical, SABIC, Conoco-Philips, BP, Chevron, Pfizer, Praxair…

    Research Interests

    • Chemical Reactor/Process Engineering, Multi-scale Modeling/Simulation, Energy, Environment/Sustainability
    • Multiphase Flows, Particle-laden Flow, Granular Flow, Bubbly Flow, Sprays, Emulsion
    • Kinetic Theory, Population Balance Equation, Quadrature-Based Moment Methods
    • Turbulence Modeling, Turbulent Mixing and Reacting Flow, Large-Eddy Simulation
    • Additive Manufacturing, Metal Powder Synthesis, Gas Atomization
    • Bioprocessing, Algal Biotechnology, Bio-Inspired Fluid Mechanics, Flows in Biomedical Devices
    • Laser-Based Fluid Diagnostic and Experimental Techniques, High-Performance Computing

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