Sungwon Kang
Sungwon Kang
Sogang University · Mechanical Engineering
Professor
Prof. 강성원
Professor's page · publicationsAbout
강성원 교수 연구실(열유체 다중현상 연구실, FTM Lab)은 서강대 기계공학과 소속으로, 열유체 다중현상을 연구한다. 연소 유동, 난류 열전달, 복잡형상 수치해석, 내연기관을 다룬다.
Research keywords
Recent papers
From OpenAlex · papers whose author affiliation matches this university
Selected publications
- Modeling swirl evolution inside annular nozzlesAIAA Journal · 2022
- Large eddy simulation of turbulent partially premixed flamesJournal of Mechanical Science and Technology · 2022
- On primary parameters of swirl decay rateAIAA Journal · 2021
- The Role of Differential Diffusion during Early Flame Kernel Development - Part ICombustion and Flame · 2020
- The Role of Differential Diffusion during Early Flame Kernel Development - Part IICombustion and Flame · 2020
- Analysis of premixed flame kernel/turbulence interactionsJournal of Fluid Mechanics · 2020
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Turbomachinery Performance and Optimization
Choi, Haecheon
Seoul National University · Mechanical Engineering
Prediction of turbulent flow in a volute-type centrifugal pump at design and part-load conditions: LES vs. URANSInternational Journal of Heat and Fluid Flow · Sep 1Dynamics Group
Imperial College London · Department of Mechanical Engineering
Non-Synchronous Vibration: Influence of Blade Vibration on Aerodynamic DisturbancesJournal of Turbomachinery · Sep 16Ivan Marusic 교수 연구실
University of Melbourne · Department of Mechanical Engineering
Turbulent boundary layers under adverse pressure gradients. Part 1. Decoupling the influences of local and upstream pressure gradients through high-Reynolds-number experimentsNewJournal of Fluid Mechanics · Oct 19
Other labs in this department
- Bonggeun ChungRecruiting
바이오나노공학기술 / Microfluidic Chip, Nanotechnology, Biosensor
- Sungmin Kang
Seong Min Kang
멀티스케일 융합기술 / Multiscale integration and convergence
- Namgeun Kim
Namkeun Kim
응용역학 및 설계 / Hearing mechanics, Machine/Deep learning
- Namjung Kim
물리 및 AI 기반 지능설계 / Physics-informed and AI-driven design
- Daejoong Kim
에너지공학 / Microfluidics, energy conversion and water treatment
- Dongchul Kim
Dongchoul Kim
다중물리&다중스케일 시스템 / Computational analysis of nano- and micro-scale structures