A graph-based framework for advanced aircraft propulsion system analysis

This paper introduces a novel methodology, the Graph-based Propulsion System Analysis (GPSA) Framework, for the systematic analysis of aircraft propulsion systems. The methodology encodes propulsion architectures via an architecture matrix that delineates component connectivity, while complementary operational and efficiency matrices quantify power distribution strategies and transmission losses, respectively. An algorithm using a fixed-point iteration is developed to simulate both uni-directional and bi-directional power flows, enabling the evaluation of complex operational modes, including conventional propulsion and in-flight battery charging. Multiple numerical examples demonstrate the framework's robustness and flexibility in modeling configurations with multiple sources, sinks, and varying power path lengths. Furthermore, integration with the Future Aircraft Sizing Tool underscores its potential for use during early-phase design and trade space exploration. By overcoming previous limitations such as restrictions on serial power-transmitting components, this unified and adaptable framework advances the state of the art in propulsion system analysis and lays a solid foundation for future improvements in computational efficiency and component classification. • Developed Graph Theory-based framework for propulsion system analysis. • The framework was found to accommodate any propulsion system configuration or size. • Implemented framework in an aircraft sizing tool for design space exploration.

Authors

Institutions

Publication Details

Journal
Aerospace Science and Technology
Published
2025-09-02
DOI
https://doi.org/10.1016/j.ast.2025.110798
Primary Topic
Advanced Aircraft Design and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A graph-based framework for advanced aircraft propulsion system analysis

Gökçin Çınar, Paul R. Mokotoff
Aerospace Science and Technology
Advanced Aircraft Design and Technologies
article

A graph-based framework for advanced aircraft propulsion system analysis

Gökçin Çınar, Paul R. Mokotoff
article en

Abstract

This paper introduces a novel methodology, the Graph-based Propulsion System Analysis (GPSA) Framework, for the systematic analysis of aircraft propulsion systems. The methodology encodes propulsion architectures via an architecture matrix that delineates component connectivity, while complementary operational and efficiency matrices quantify power distribution strategies and transmission losses, respectively. An algorithm using a fixed-point iteration is developed to simulate both uni-directional and bi-directional power flows, enabling the evaluation of complex operational modes, including conventional propulsion and in-flight battery charging. Multiple numerical examples demonstrate the framework's robustness and flexibility in modeling configurations with multiple sources, sinks, and varying power path lengths. Furthermore, integration with the Future Aircraft Sizing Tool underscores its potential for use during early-phase design and trade space exploration. By overcoming previous limitations such as restrictions on serial power-transmitting components, this unified and adaptable framework advances the state of the art in propulsion system analysis and lays a solid foundation for future improvements in computational efficiency and component classification. • Developed Graph Theory-based framework for propulsion system analysis. • The framework was found to accommodate any propulsion system configuration or size. • Implemented framework in an aircraft sizing tool for design space exploration.

Aerospace Science and TechnologyVol. 168
University of Michigan (US)
Openalex Percentile: Top 78%
Advanced Aircraft Design and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.