Application and comparison of multiple machine learning techniques for the calculation of laminar burning velocity for hydrogen-methane mixtures

S Eckart, R Prieler, C Hochenauer, H Krause - Thermal Science and …, 2022 - Elsevier
In the present discussion of transition the energy supply and sector coupling processes,
hydrogen and hydrogen/natural gas mixtures will play an important role in future gas usage …

A hybrid GA-ANN and correlation approach to developing a laminar burning velocity prediction model for isooctane/blends-air mixtures

G Udaybhanu, VM Reddy - Fuel, 2024 - Elsevier
Surrogate fuels offer a cost-effective way to predict the combustion properties of
transportation fuels like diesel, gasoline, kerosene, etc. Iso-octane (2, 2, 4-trimethylpentane) …

Development of laminar burning velocity prediction model and correlation of iso-octane air mixtures using artificial neural network

G Udaybhanu, AGA Jameel, WL Roberts, VM Reddy - Energy, 2024 - Elsevier
Surrogate fuels provide an economical alternative for forecasting the combustion properties
of transportation fuels like diesel, gasoline, and kerosene. Iso-octane (2, 2, 4 …

Laminar burning velocity model based on deep neural network for hydrogen and propane with air

K Malik, M Żbikowski, A Teodorczyk - Energies, 2020 - mdpi.com
The aim of the study was to develop deep neural network models for laminar burning
velocity (LBV) calculations. The present study resulted in models for hydrogen–air and …

Development of a CFD-suitable deep neural network model for laminar burning velocity

A Ambrutis, M Povilaitis - Applied Sciences, 2022 - mdpi.com
Featured Application The presented DNN model has been developed for application in the
CFD simulations requiring a simplified estimation of laminar burning velocity in dry hydrogen …