32 citations · 84 across the 5 of their papers we have counts for
5 papers
On stable wrapper-based parameter selection method for efficient ANN-based data-driven modeling of turbulent flows
Hyeongeun Yun, Yongcheol Choi, Youngjae Kim +1
To model complex turbulent flow and heat transfer phenomena, this study aims to analyze and develop a reduced modeling approach based on artificial neural network (ANN) and wrapper…
The Role of Differential Diffusion during Early Flame Kernel Development under Engine Conditions -- Part II: Effect of Flame Structure and Geometry
Tobias Falkenstein, Hongchao Chu, Mathis Bode +2
From experimental spark ignition (SI) engine studies, it is known that the slow-down of early flame kernel development caused by the ()-property of common transporta…
The Role of Differential Diffusion during Early Flame Kernel Development under Engine Conditions -- Part I: Analysis of the Heat-Release-Rate Response
Tobias Falkenstein, Aleksandra Rezchikova, Raymond Langer +3
Although experimental evidence for the correlation between early flame kernel development and cycle-to-cycle variations (CCV) in spark ignition (SI) engines was provided long ago,…
Analysis of Premixed Flame Kernel/Turbulence Interactions under Engine Conditions based on DNS Data
Tobias Falkenstein, Seongwon Kang, Heinz Pitsch
Although the evolution of premixed flames in turbulence has been frequently studied, it is not well understood how small flames interact with large-scale turbulent flow motion. Sin…
DNS Study of the Global Heat Release Rate During Early Flame Kernel Development under Engine Conditions
Tobias Falkenstein, Seongwon Kang, Liming Cai +2
Despite the high technical relevance of early flame kernel development for the reduction of cycle-to-cycle variations in spark ignition engines, there is still a need for a better…