Soosik Bang

ORCID: 0000-0002-2582-1791
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About
Contact & Profiles
Research Areas
  • Heat Transfer and Optimization
  • Heat Transfer and Boiling Studies
  • Heat Transfer Mechanisms
  • Refrigeration and Air Conditioning Technologies
  • Fluid Dynamics and Heat Transfer
  • Turbomachinery Performance and Optimization
  • Thermal properties of materials
  • Heat and Mass Transfer in Porous Media
  • Electrohydrodynamics and Fluid Dynamics
  • Engineering Applied Research
  • Phase Change Materials Research
  • ZnO doping and properties
  • Gear and Bearing Dynamics Analysis
  • Nanofluid Flow and Heat Transfer
  • Fluid Dynamics and Turbulent Flows
  • Advanced Battery Materials and Technologies
  • Supercapacitor Materials and Fabrication
  • Corrosion Behavior and Inhibition
  • Tribology and Lubrication Engineering
  • Advanced Battery Technologies Research
  • Nanomaterials and Printing Technologies
  • Solar-Powered Water Purification Methods
  • Surface Modification and Superhydrophobicity
  • Advanced Multi-Objective Optimization Algorithms
  • Advanced Thermoelectric Materials and Devices

Korea Advanced Institute of Science and Technology
2022-2024

Kyung Hee University
2018-2023

Abstract Gallium liquid metal is one of the promising phase change materials for passive thermal management electronics due to their high conductivity and latent heat per volume. However, it suffers from severe supercooling, in which molten gallium does not return solid lack nucleation. It may require 28.2 °C lower temperature than original freezing point address leading unstable regulation performance along fluctuations cooling condition. Here, infused into porous copper an oxide‐free...

10.1002/advs.202310185 article EN Advanced Science 2024-04-18

We developed asymmetric capillary wicks composed of slanted microposts using inclined photolithography. Then we investigated the effects inclination angle and wicking direction on heat transfer performances. The working fluid accelerates when it flows in slope structure (forward direction, FD) decelerates opposite (rear RD). applied scaling law to rise experiment data verify that affect performance. performance parameter was improved by up ~39% with FD case decreased 21.3% RD. test showed...

10.2139/ssrn.4369181 article EN 2023-01-01

As the demand for high-performance electronic devices and electric vehicles (EVs) increases, importance of energy-efficient thermal management has become ever more important. This study presents development optimization a high-heat flux power electronics system targeting an EV inverter. The employs jet impingement cooling mechanism integrated with microposts. resistance pumping were evaluated through Computational Fluid Dynamics (CFD) simulations by varying nozzle parameters, micropost...

10.2139/ssrn.4552964 preprint EN 2023-01-01

As the demand for high-performance electronic devices and electric vehicles (EVs) increases, importance of energy-efficient thermal management has become ever more important. This study presents development optimization a high-heat flux power electronics system targeting an EV inverter. The employs jet impingement cooling mechanism integrated with microposts. resistance pumping were evaluated through Computational Fluid Dynamics (CFD) simulations by varying nozzle parameters, micropost...

10.2139/ssrn.4572240 preprint EN 2023-01-01

We propose the high-performance evaporative spray cooling strategy by combining hierarchical flake formation and intermittent spraying. A simple, scalable, cost-effective method was introduced to fabricate flakes with multi-scale wicks where size of pores varies along direction normal wick plane, which provides substantially improved wicking capability for capillary pumping. In addition, methods allowed more efficient enabling reduction in spraying volume. Through thermal management...

10.2139/ssrn.4603852 preprint EN 2023-01-01

We developed a multi-objective optimization process using artificial neural networks (ANN) to estimate the thermal-hydraulic performance of vapor chamber (VC). employed numerical model assess impact various components on thermal VC. An ANN was predict VC by generating training data based model. Our approach resulted in an optimal design that significantly diminished resistance while substantially improving critical heat flux (CHF). The improvement primarily due distinct division roles...

10.2139/ssrn.4668100 preprint EN 2023-01-01
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