[HTML][HTML] Improving aircraft performance using machine learning: A review

S Le Clainche, E Ferrer, S Gibson, E Cross… - Aerospace Science and …, 2023 - Elsevier
This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …

[HTML][HTML] The reactor-based perspective on finite-rate chemistry in turbulent reacting flows: A review from traditional to low-emission combustion

A Péquin, MJ Evans, A Chinnici, PR Medwell… - Applications in Energy …, 2023 - Elsevier
In flames, turbulence can either limit or enhance combustion efficiency by means of strain
and mixing. The interactions between turbulent motions and chemistry are crucial to the …

MILD combustion and biofuels: A minireview

P Sabia, G Sorrentino, GB Ariemma, MV Manna… - Energy & …, 2021 - ACS Publications
Even in the presence of the formidable growth of renewable energy sources, advanced
combustion processes have and will continue to have an irreplaceable role as a driving …

Model identification in reactor-based combustion closures using sparse symbolic regression

RSM Freitas, A Péquin, RM Galassi, A Attili… - Combustion and …, 2023 - Elsevier
Abstract In Large Eddy Simulations (LES) of combustion, the accuracy of predictions might
be heavily affected by deficiencies in traditional/simplified closure models, especially when …

The partially stirred reactor model for combustion closure in large eddy simulations: Physical principles, sub-models for the cell reacting fraction, and open challenges

A Péquin, S Iavarone, R Malpica Galassi, A Parente - Physics of Fluids, 2022 - pubs.aip.org
For their ability to account for finite-rate chemistry, reactor-based models are well suited
Turbulence–Chemistry Interactions (TCI) Sub-Grid Scale (SGS) closures for Large Eddy …

Machine learning clustering algorithms for the automatic generation of chemical reactor networks from CFD simulations

M Savarese, A Cuoci, W De Paepe, A Parente - Fuel, 2023 - Elsevier
Predicting the thermal and environmental performances of combustion systems can be
difficult and computationally expensive. Chemical Reactor Networks (CRN) represent an …

[HTML][HTML] Investigation of wet ammonia combustion characteristics using LES with finite-rate chemistry

Y Shen, K Zhang, C Duwig - Fuel, 2022 - Elsevier
The interest in climate action and building sustainable energy system, has highlighted
electricity derived fuels (eFuels) and has promoted studies considering ammonia as a eFuel …

NO emission characteristics for the HTC and MILD combustion regimes with N2, N2/CO2 and CO2 diluents: effect of H2 addition to CH4

EE Fordoei, FA Boyaghchi - International Journal of Hydrogen Energy, 2023 - Elsevier
In this paper, the effect of H 2 addition to CH 4 on the NO emission of oxy-fuel, oxygen-
enriched, and air-fuel MILD combustion is studied by numerical and chemical calculations …

MILD combustion of low calorific value gases

S Zhou, B Yan, M Mansour, Z Li, Z Cheng, J Tao… - Progress in Energy and …, 2024 - Elsevier
The utilization of low calorific value gases (LCVG) in combustion devices presents particular
challenges in terms of ignition and sustained combustion stability due to the presence of non …

A new index for the comparative evaluation of combustion local low-dimensional manifolds

M Savarese, KS Jung, H Dave, JH Chen… - Combustion and …, 2024 - Elsevier
As data-intensive techniques proliferate across many scientific disciplines, new criteria for
more objective interpretation and a priori evaluation are required to reconcile data-driven …