V Raman, M Hassanaly - Proceedings of the Combustion Institute, 2019 - Elsevier
Numerical simulations have played a vital role in the design of modern combustion systems. Over the last two decades, the focus of research has been on the development of the large …
C Lagemann, K Lagemann, S Mukherjee… - Nature Machine …, 2021 - nature.com
A wide range of problems in applied physics and engineering involve learning physical displacement fields from data. In this paper we propose a deep neural network-based …
In this work, we use machine learning (ML) techniques to develop presumed probability density function (PDF) models for large eddy simulations (LES) of reacting flows. The joint …
BA Perry, ME Mueller - Proceedings of the Combustion Institute, 2019 - Elsevier
To apply reduced-order manifold combustion models in Large Eddy Simulations (LES) of systems with multiple inlets, it is necessary to incorporate more than one mixture fraction. As …
P Yu, R Kurose, H Watanabe - Physics of Fluids, 2023 - pubs.aip.org
Three non-premixed quasi-two-dimensional flamelet (Q2DF) models can be derived via integrating one-dimensional flamelet libraries, which are generated by premixing the third …
The first modeling results for Sandia flames D, E, and F using the flamelet generated manifold reduced chemistry model with a transported probability density function (TPDF) …
K Ferguson, BE Morgan - Journal of Fluid Mechanics, 2024 - cambridge.org
We present direct numerical simulations of a three-layer Rayleigh–Taylor instability (RTI) problem with a configuration based on the experiments of Suchandra & Ranjan (J. Fluid …
ME Mueller - AIAA Scitech 2019 Forum, 2019 - arc.aiaa.org
The fundamental shortcoming of all current approaches to turbulent combustion modeling is the reliance on extensive a priori knowledge of a combustion system to be simulated. In …
Momentum-scalar coupling turbulence, a phenomenon observed in both natural and engineering contexts, involves the intricate interaction between multicomponent scalars and …