Advanced Optical Patternator for Performance Prediction of Bipropellant Thrusters

This research develops an advanced optical patternator method to predict the characteristic exhaust velocity of bipropellant thrusters, aiming to bridge the gap between cold-flow diagnostics and hot-fire performance prediction. The method combines scattered light and planar laser-induced fluorescence techniques to enable noncontact high-resolution spray characterization, overcoming fundamental limitations of conventional mechanical patternators. Experiments conducted under well-controlled conditions support theoretical analysis and demonstrate that the optical approach achieves performance equivalent to mechanical patternators over a wide range of mixture ratios. Furthermore, the predicted characteristic velocities show excellent agreement with hot-firing test data, confirming the validity of the proposed framework. The optical method enables real-time measurements with an approximately 90% reduction in evaluation time, achieving performance prediction within a 5.2% error relative to hot-fire test results, highlighting its potential in reducing development costs while maintaining quantitative reliability for thruster design applications.

Authors

Institutions

Publication Details

Journal
AIAA Journal
Published
2026-03-29
DOI
https://doi.org/10.2514/1.j066702
Primary Topic
Energetic Materials and Combustion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced Optical Patternator for Performance Prediction of Bipropellant Thrusters

Kohji Tominaga, Chihiro Inoue
AIAA Journal
Energetic Materials and Combustion
article

Advanced Optical Patternator for Performance Prediction of Bipropellant Thrusters

Kohji Tominaga, Chihiro Inoue
article en

Abstract

This research develops an advanced optical patternator method to predict the characteristic exhaust velocity of bipropellant thrusters, aiming to bridge the gap between cold-flow diagnostics and hot-fire performance prediction. The method combines scattered light and planar laser-induced fluorescence techniques to enable noncontact high-resolution spray characterization, overcoming fundamental limitations of conventional mechanical patternators. Experiments conducted under well-controlled conditions support theoretical analysis and demonstrate that the optical approach achieves performance equivalent to mechanical patternators over a wide range of mixture ratios. Furthermore, the predicted characteristic velocities show excellent agreement with hot-firing test data, confirming the validity of the proposed framework. The optical method enables real-time measurements with an approximately 90% reduction in evaluation time, achieving performance prediction within a 5.2% error relative to hot-fire test results, highlighting its potential in reducing development costs while maintaining quantitative reliability for thruster design applications.

AIAA Journal
Kyushu University (JP), Japan Aerospace Exploration Agency (JP)
Openalex Percentile: Top 4%
Energetic Materials and Combustion
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.