MBSE-Driven Simulation of Hydrogen Combustion Turbofan Propulsion System: A Comprehensive Process Analysis

The paper presents an innovative Model-Based System Engineering (MBSE)-driven simula- tion platform for comprehensive process analysis of hydrogen combustion in turbofan aircraft propulsion systems. The developed approach integrates Python scripting seamlessly with SysML modeling to enable dynamic parameter interaction and robust computational capabilities within a unified simulation environment. The simulation explicitly incorporates hydrogen-specific constraints, including critical limits on temperature and pressure, ensuring safety and oper- ational feasibility. Detailed analyses highlight interdependencies among system components, identify performance-driving parameters, and rigorously evaluate thermodynamic properties for enhanced understanding of energy transfer processes. Simple computational models are utilized to provide insights into system behavior under varying operational conditions. This platform demonstrates how integrating Python with SysML significantly improves simulation traceability, consistency, and repeatability, supporting iterative testing and optimization, and promoting advancements in sustainable hydrogen propulsion technologies.

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Publication Details

Published
2025-07-16
DOI
https://doi.org/10.2514/6.2025-3743
Primary Topic
Advanced Combustion Engine Technologies
Type
article
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article

MBSE-Driven Simulation of Hydrogen Combustion Turbofan Propulsion System: A Comprehensive Process Analysis

Sijian Tan, Selçuk Cimtalay, Dimitri N. Mavris
Advanced Combustion Engine Technologies
article

MBSE-Driven Simulation of Hydrogen Combustion Turbofan Propulsion System: A Comprehensive Process Analysis

Sijian Tan, Selçuk Cimtalay, Dimitri N. Mavris
article en

Abstract

The paper presents an innovative Model-Based System Engineering (MBSE)-driven simula- tion platform for comprehensive process analysis of hydrogen combustion in turbofan aircraft propulsion systems. The developed approach integrates Python scripting seamlessly with SysML modeling to enable dynamic parameter interaction and robust computational capabilities within a unified simulation environment. The simulation explicitly incorporates hydrogen-specific constraints, including critical limits on temperature and pressure, ensuring safety and oper- ational feasibility. Detailed analyses highlight interdependencies among system components, identify performance-driving parameters, and rigorously evaluate thermodynamic properties for enhanced understanding of energy transfer processes. Simple computational models are utilized to provide insights into system behavior under varying operational conditions. This platform demonstrates how integrating Python with SysML significantly improves simulation traceability, consistency, and repeatability, supporting iterative testing and optimization, and promoting advancements in sustainable hydrogen propulsion technologies.

Georgia Institute of Technology (US)
Affordable and clean energy
Openalex Percentile: Top 86%
Advanced Combustion Engine Technologies
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