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Assessing Engine Hot Fire Data for Human Spaceflight ApplicationsDevelopment and certification of liquid engine systems for human spaceflight missions requires exhaustive analysis to meet the NASA’s requirements for engine health, reliability, and performance. The techniques used to assess requirement conformance and test-to-test engine health pose many unique challenges including the unusually large scale of data, complex component and system analysis, and rigorous engineering judgement standards. To address these challenges, NASA Marshall Space Flight Center’s Engine Systems branch has developed and maintained a robust software suite and operational processes that satisfy programmatic requirements levied on engines and the 7 Elements of Flight Rationale. Analysis at a systems level includes subsystem assessment of components such as turbomachinery and combustion devices as well as structural and fluid dynamics and transient and steady-state assessment at a systems level. Some of the most important tools to accomplish this analysis are automated script databases, creation of historical and statistical comparisons, and parameters calculated at the full data rate. These tools greatly simplify the crucial processes of anomaly investigation, limit monitoring, health assessment, and timely communication of key conclusions drawn from hot fire testing and flight data analysis.
Document ID
20240003636
Acquisition Source
Marshall Space Flight Center
Document Type
Conference Paper
Authors
J Davis Hunter
(Marshall Space Flight Center Redstone Arsenal, United States)
Date Acquired
March 26, 2024
Subject Category
Spacecraft Propulsion and Power
Documentation and Information Science
Meeting Information
Meeting: 71st JANNAF Propulsion Meeting (JPM)
Location: Oklahoma City, OK
Country: US
Start Date: May 6, 2024
End Date: May 10, 2024
Sponsors: Joint Army-Navy-NASA-Air Force (JANNAF)
Funding Number(s)
WBS: 981698.01.04.62.11.10
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
Data Assessment
WinPlot
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