Numerical Simulation of Chemical Propulsion Systems: Survey and Fundamental Mathematical Modeling Approach

J Cha - Aerospace, 2023 - mdpi.com
This study deals with the mathematical modeling and numerical simulation of chemical
propulsion systems (CPSs). For this, we investigate and summarize a comprehensive …

[HTML][HTML] Detection of slight variations in combustion conditions with machine learning and computer vision

P Compais, J Arroyo, MÁ Castán-Lascorz… - … Applications of Artificial …, 2023 - Elsevier
When monitoring combustion conditions, detecting minor variations, which may be complex
even for the human eye, is critical for providing a fast response and correcting deviations …

Structural Health Monitoring of Solid Rocket Motors: From Destructive Testing to Perspectives of Photonic-Based Sensing

G Korompili, G Mußbach, C Riziotis - Instruments, 2024 - mdpi.com
In the realm of space exploration, solid rocket motors (SRMs) play a pivotal role due to their
reliability and high thrust-to-weight ratio. Serving as boosters in space launch vehicles and …

Revealing the mechanism of MgO inhibiting the combustion of modified double-base propellants

C Zhang, X Zhang, S Wu, Y Sun - Fuel, 2025 - Elsevier
The regulation of burning rate is a key but challenging technology in the design of modified
double-base propellants (MDBPs). In this study, the effect of magnesium oxide (MgO) on the …

Uncertainty Quantification of Vibroacoustics with Deep Neural Networks and Catmull–Clark Subdivision Surfaces

Z Zhou, Y Gao, Y Cheng, Y Ma, X Wen… - Shock and …, 2024 - Wiley Online Library
This study proposes an uncertainty quantification method based on deep neural networks
and Catmull–Clark subdivision surfaces for vibroacoustic problems. The deep neural …

Assessing the Applicability of Deep-Learning Method for Predicting Cyanobacteria in a Regulated River

J Kim, H Kim, K Kim, JM Ahn - Journal of Environmental …, 2024 - ascelibrary.org
Cyanobacterial harmful algal blooms (cyanoHABs) caused by cyanobacteria negatively
affect humans via river water and aquatic life. Thus, reliable cyanobacteria predictions are …

FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames

J Wu, S Zhang, Y Wu, G Zhang, X Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Given the existence of various forward and inverse problems in combustion studies and
applications that necessitate distinct methods for resolution, a framework to solve them in a …

Rapid prediction of solid rocket ignition transient process using artificial neural networks

J Teng, Z Wu, L Lu, Y Li - Thermal Science, 2024 - doiserbia.nb.rs
Solid rocket motors (SRMs) have been a critical component of space exploration, military
operations, and numerous other applications for decades. The ability to accurately predict …

[HTML][HTML] ПРИМЕНЕНИЕ МЕТОДОВ МАШИННОГО ОБУЧЕНИЯ ДЛЯ ДИАГНОСТИКИ И УПРАВЛЕНИЯ РЕЖИМАМИ СЖИГАНИЯ УГОЛЬНОЙ ПЫЛИ

ЕБ Бутаков, СС Абдуракипов - Доклады Академии наук высшей …, 2024 - cyberleninka.ru
В ходе исследования была изучена возможность мониторинга и выявления аномалий в
процессе горения по закономерностям визуализации пламени в топочном …