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Digital Twin of Liquid Rocket Propulsion System
Digital Twin of Liquid Rocket Propulsion System
file:///C:/Users/Owner/Downloads/aerospace-12-00479.pdf
Background
The project was intended to develop a digital twin of a 500 lbf LOX/LCH₄ propulsion system to help DOD predict engine performance, detect anomalies, and optimize designs in real time, thereby reducing testing costs, enhancing safety, accelerating mission readiness, and supporting sustainable, reusable propulsion technologies. The project was also aimed to develop the digital engineering workforce, as it was funded through a Digital Engineering Grant.
Digital Twin of a Cold Gas Lander
Background: Through this project, we developed a digital twin of a cold gas hybrid propulsion system that integrates battery, GNC, structural, modal, frequency, and thruster models. The digital twin was validated using experimental data, and a custom digital engineering test and evaluation framework was implemented to ensure precise uncertainty quantification and fidelity assessment.
High-Speed Combustion Study Using PIV, C-X CH PLIF and CFD Analysis
Background: Through this project, we had explored advanced laser diagnostic techniques such as OH PLIF, CX-CH PLIF, and PIV, and investigated turbulence–flame interactions across a range of Reynolds numbers and flame regime conditions (ɸ, Da, Ka), complemented by detailed flame image processing and analysis.
High-Pressure Combustion Study
Background: Through this project, the team explored the design and performance of new high-pressure injectors and investigated their operating behavior through hot-fire testing and CFD analysis to optimize conditions for improved thermal efficiency in a high-pressure oxygen–methane propulsion system.
CH4-Air Combustion Study Under A Small-Scale Combustor
Background: Through this project, the team had explored and investigated CH₄–air combustion in a small-scale combustor, focusing on the effects of mass flow rate, vortex orientation, and their influence on overall combustion performance.
Lab's Goals:
Our research lab aims to drive innovation across the U.S. aerospace, defense, and energy sectors by creating advanced digital twins powered by AI/ML and PLM tools. These models enable predictive design, faster prototyping, and smarter decisions—improving reliability, cutting costs, and reinforcing U.S. leadership in propulsion and sustainable energy technologies.
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