Combustion machine learning: Principles, progress and prospects
Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …
[HTML][HTML] Laser sensors for energy systems and process industries: Perspectives and directions
Sensors are perhaps the most important and integral components of our modern society.
With global warming and environmental pollution garnering ever-increasing attention, as …
With global warming and environmental pollution garnering ever-increasing attention, as …
[HTML][HTML] Machine learning for combustion
Combustion science is an interdisciplinary study that involves nonlinear physical and
chemical phenomena in time and length scales, including complex chemical reactions and …
chemical phenomena in time and length scales, including complex chemical reactions and …
Challenges for turbulent combustion
AR Masri - Proceedings of the Combustion Institute, 2021 - Elsevier
Turbulent combustion will remain central to the next generation of combustion devices that
are likely to employ blends of renewable and fossil fuels, transitioning eventually to …
are likely to employ blends of renewable and fossil fuels, transitioning eventually to …
Multiscale graph neural network autoencoders for interpretable scientific machine learning
The goal of this work is to address two limitations in autoencoder-based models: latent
space interpretability and compatibility with unstructured meshes. This is accomplished here …
space interpretability and compatibility with unstructured meshes. This is accomplished here …
Applications of machine learning to the analysis of engine in-cylinder flow and thermal process: A review and outlook
F Zhao, DLS Hung - Applied Thermal Engineering, 2023 - Elsevier
To adequately elucidate the complex in-cylinder flow structures and its underlying effects on
the thermal processes inside an internal combustion engine (ICE) has long been a daunting …
the thermal processes inside an internal combustion engine (ICE) has long been a daunting …
Segmentation of schlieren images of flow field in combustor of scramjet based on improved fully convolutional network
L Li, Y Tian, X Deng, M Guo, J Le, H Zhang - Physics of Fluids, 2022 - pubs.aip.org
Extraction of the wave structure of the flow field in the combustor of the scramjet is important
for main flow control and performance evaluation of the scramjet. In this study, a deep …
for main flow control and performance evaluation of the scramjet. In this study, a deep …
Investigation of the generalization capability of a generative adversarial network for large eddy simulation of turbulent premixed reacting flows
In the past decades, Deep Learning (DL) frameworks have demonstrated excellent
performance in modeling nonlinear interactions and are a promising technique to move …
performance in modeling nonlinear interactions and are a promising technique to move …
Data-driven classification and modeling of combustion regimes in detonation waves
A data-driven approach to classify combustion regimes in detonation waves is implemented,
and a procedure for domain-localized source term modeling based on these classifications …
and a procedure for domain-localized source term modeling based on these classifications …
Accurate determination of homogeneous ignition of single solid fuel particles enabled by machine learning
This work presents an experimental investigation of solid fuel combustion in a laminar flow
reactor with high-speed laser diagnostics. The main focus lays on the development of image …
reactor with high-speed laser diagnostics. The main focus lays on the development of image …