Intelligent Levenberg–Marquardt neural network solution to flow of carbon nanotubes in a nozzle of liquid rocket engine

N Muhammad, N Ahmed - Nanotechnology, 2023 - iopscience.iop.org
In this research, we utilized artificial neural networks along with the Levenberg–Marquardt
algorithm (ANN-LMA) to interpret numerical computations related to the efficiency of heat …

Application of deep learning to study aggregative and non-aggregative nanofluid flow within the nozzle of a liquid rocket engine

N Muhammad, N Ahmed, M Rani, BB Mohsin - … Communications in Heat …, 2024 - Elsevier
Abstract We have used Bayesian Regularization Back Propagation based deep neural
networks to analyze the flow and heat transfer behavior for the flow of a nanofluid (aluminum …

Whistling potential of throttling orifices and its connection to liquid rocket combustion instability

M Muthaiah, S Saini, S Varunkumar - Applied Acoustics, 2025 - Elsevier
Orifice whistling is recently established as a cause of high frequency combustion instability
in liquid rocket engines. The series of studies on the experimental thrust chamber, known as …

Dynamic Response Mechanism of Ethanol Atomization–Combustion Instability under a Contrary Equivalence Ratio Adjusting Trend

C Tao, R Sun, Y Wang, Y Gao, L Meng, L Jiao, S Liang… - Aerospace, 2024 - mdpi.com
This study experimentally explored the effects of equivalence ratio settings on ethanol fuel
combustion oscillations with a laboratory-scale combustor. A contrary flame equivalence …