P Breda, C Yu, U Maas, M Pfitzner - Flow, Turbulence and Combustion, 2021 - Springer
The Eulerian stochastic fields (ESF) combustion model can be used in LES in order to evaluate the filtered density function to describe the process of turbulence–chemistry …
The present work focuses on the five different chemical mechanisms coupled with probability density function (PDF) model to represent the local extinction and re-ignition …
S Drost, M Werler, R Schießl, U Maas - Journal of Loss Prevention in the …, 2021 - Elsevier
Diethyl ether (DEE) is an interesting species for combustion for at least two reasons: On the one hand, it is used as a kind of” worst case” reference substance for studies concerned with …
C Yu, U Maas - Combustion Theory and Modelling, 2022 - Taylor & Francis
In this work, a mathematical formulation for the calculation of the sensitivity of manifold- based simplified chemistry with respect to the scalar gradient is derived. This methodology …
C Yu, X Li, C Wu, A Neagos, U Maas - Energy & Fuels, 2020 - ACS Publications
Extinction limits are important quantities of counterflow diffusion flames. An accurate prediction of extinction limits is necessary for the design of engineering combustion devices …
Manifold based simplified chemistry is an efficient reduction technique for the chemical kinetics, which aims to reduce the computational effort in numerical simulations. While the …
C Yu, P Shrotriya, X Li, U Maas - Proceedings of the Combustion Institute, 2023 - Elsevier
The accurate prediction of the NOx formation has gained great attention in view of clean combustion. In this direction, a reliable reduction technique for the chemical kinetics is …
Partially-premixed flames (PPFs) incorporate effects of both premixed and non-premixed types of reaction zones. The modelling of PPFs using manifold-based model reduction …
MR Roussel, T Soares - Journal of Mathematical Biology, 2024 - Springer
Complex dynamical systems are often governed by equations containing many unknown parameters whose precise values may or may not be important for the system's dynamics. In …