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Yonduck Sung received his Ph.D. in Mechanical Engineering from the University of Texas at Austin and has extensive experience conducting research on multiphase turbulent reactive flows, including using large eddy simulation to model TiO2 nanoparticle evolution in turbulent flames. He has expertise in combustion modeling techniques like LES and DNS, as well as computational tools like Fluent, Chemkin, and programming languages. Sung would be a strong candidate for numerical combustion research positions thanks to his relevant educational background and research experience simulating combustion chemistry and multiphase flows.

Technology Education

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

Sung slides

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