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Yonduck Sung

  Education
 - Ph.D. - The University of Texas at Austin, Austin, TX
   •   Advisor: Dr. Venkat Raman

   •   Thesis: Large eddy simulation of TiO2 nanoparticle evolution in
       turbulent flames

 - M.S. - Carnegie Mellon University, Pittsburgh, PA
   •   Advisor: Dr. Qiao Lin

   •   Thesis: A new room-temperature bonding technique using an
       ultrathin poly(dimethylsiloxane) (PDMS) intermediate layer for
       fabrication of micro/nanochannels

 - B.S. - Yonsei University, Seoul, South Korea
 - All in Mechanical Engineering
Related research experience

 Multiphase turbulent reactive
 flows
                                                                           Normalized particle volume
 1. Study of synthesis of solid TiO2
   nanoparticles in a turbulent flame
   •   Goal: A reliable computational model and
       tool for industrial TiO2 flame synthesis
       process

   •   Model: LES + flamelet-based detailed
       chemistry + 2D population balance

   •   Achievements:
                                                                        CQMOM         Exp.
       ‣ First application of LES-based model with
                                                            Dpp (nm)     61        100~105
         detailed chemistry and 2D population balance
                                                           SSA (m2/g)    25             15
       ‣ Better understanding of particle evolution
       ‣ Accurate prediction of flame T and reasonable prediction of TiO2 particle
         characteristics
Related research experience (continued)
 2. Study of TiO2 chemistry in flow
   field
   •   Goal: A further study of TiO2 + combustion
       chemistry to compare the flamelet model
       used in previous LES-based model
   •   Model: 2D DNS + reduced detailed
       chemistry + isotropic turbulence
                                                                      Mass fraction of TiO2
   •   Achievement: First study of TiO2 detailed
                                                                                                            B
       chemistry and reaction paths under
       turbulence (on going)
                                                             B
 3. Turbulent spray flames
   •   Goal: Simulation of flame synthesis of TiO2
                                                                                                            A
       in a turbulent spray flame
   •   Model: DNS + liquid spray + population                A
       balance
   •   Achievement: First spray flame simulation     TiO2 particle number density
                                                                                   Quadrature approximated
       of TiO2 flame synthesis process                                              number density distribution
Related research experience (continued)

  Other studies
 - Mixing of jet in a crossflow
   •   Study the effect of jet exit geometry and
       velocity profile on mixing mechanism of a
       jet in a crossflow stream using DNS

 - Conversion of H2 from HC fuel
   •   Preliminary study of H2 conversion
                                                                    50% Air + 50%H2O (1500K)
       efficiency from HC + high-T H2O rich air                  100% CH4 (300K)                D
       mixture

  Experiment experience                            Mole fraction of H2



 - Laminar flame speed measurement
 - MEMS-based device design and
   fabrication
Background knowledge and skills

  Involved in various projects that are applicable
  to GE numerical combustion lab
  Ample experience and knowledge in various
  turbulent combustion models
  Familiar with related computational tools
  - Fluent, Chemkin
  - Matlab
  - Fortran, C/C++, MPI, OpenMP, Unix/Linux shell script

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Sung slides

  • 1. Yonduck Sung Education - Ph.D. - The University of Texas at Austin, Austin, TX • Advisor: Dr. Venkat Raman • Thesis: Large eddy simulation of TiO2 nanoparticle evolution in turbulent flames - M.S. - Carnegie Mellon University, Pittsburgh, PA • Advisor: Dr. Qiao Lin • Thesis: A new room-temperature bonding technique using an ultrathin poly(dimethylsiloxane) (PDMS) intermediate layer for fabrication of micro/nanochannels - B.S. - Yonsei University, Seoul, South Korea - All in Mechanical Engineering
  • 2. Related research experience Multiphase turbulent reactive flows Normalized particle volume 1. Study of synthesis of solid TiO2 nanoparticles in a turbulent flame • Goal: A reliable computational model and tool for industrial TiO2 flame synthesis process • Model: LES + flamelet-based detailed chemistry + 2D population balance • Achievements: CQMOM Exp. ‣ First application of LES-based model with Dpp (nm) 61 100~105 detailed chemistry and 2D population balance SSA (m2/g) 25 15 ‣ Better understanding of particle evolution ‣ Accurate prediction of flame T and reasonable prediction of TiO2 particle characteristics
  • 3. Related research experience (continued) 2. Study of TiO2 chemistry in flow field • Goal: A further study of TiO2 + combustion chemistry to compare the flamelet model used in previous LES-based model • Model: 2D DNS + reduced detailed chemistry + isotropic turbulence Mass fraction of TiO2 • Achievement: First study of TiO2 detailed B chemistry and reaction paths under turbulence (on going) B 3. Turbulent spray flames • Goal: Simulation of flame synthesis of TiO2 A in a turbulent spray flame • Model: DNS + liquid spray + population A balance • Achievement: First spray flame simulation TiO2 particle number density Quadrature approximated of TiO2 flame synthesis process number density distribution
  • 4. Related research experience (continued) Other studies - Mixing of jet in a crossflow • Study the effect of jet exit geometry and velocity profile on mixing mechanism of a jet in a crossflow stream using DNS - Conversion of H2 from HC fuel • Preliminary study of H2 conversion 50% Air + 50%H2O (1500K) efficiency from HC + high-T H2O rich air 100% CH4 (300K) D mixture Experiment experience Mole fraction of H2 - Laminar flame speed measurement - MEMS-based device design and fabrication
  • 5. Background knowledge and skills Involved in various projects that are applicable to GE numerical combustion lab Ample experience and knowledge in various turbulent combustion models Familiar with related computational tools - Fluent, Chemkin - Matlab - Fortran, C/C++, MPI, OpenMP, Unix/Linux shell script