cryogenic space propulsion - numengo|fl and lms.imagine.lab amesim
TRANSCRIPT
© numenGo | www.numengo.com 1/20
Cryogenic space systems simulation with numenGo|FL
© numenGo | www.numengo.com 2/20
Cryogenic space propulsion specifics
● Launcher engines● Medias
● Liquids● Gas● 2-phase● Solids● pure/mixture
● mass/heat transfer● compressible● 2-phase
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Cryogenic space propulsion specifics
● Cryogenic storage● Stratified storage● Micro-gravity ?
● Off-gassing● Boiling● Thermal coupling
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numenGo
● Thermal Fluids modeling and simulation specialists● Our Vision
● Capitalize modeling know-how in evolutive, generic, platform independant libraries
numenGo | FFCnumenGo|FL
numenGo | MPS
SIMULATION PLATFORMC
r yo ge n ic s
Pr op ul si on
etc ..
Business Oriented Library
APPLICATIVESOLUTIONS
THEIR expertise
OUR expertise
YOUR expertise
© numenGo | www.numengo.com 5/20
numenGo
● Thermal Fluids modeling and simulation specialists● Our Vision
● Capitalize modeling know-how in evolutive, generic, platform independant libraries
numenGo | FFCnumenGo|FL
numenGo | MPS
SIMULATION PLATFORMC
r yo ge n ic s
Pr op ul si on
Rocket Engine Add-on
APPLICATIVESOLUTIONS
© numenGo | www.numengo.com 6/20
Software Components
● numenGo|FLContains high level components
numenGo | FFCnumenGo|FL
numenGo | MPS
SIMULATION PLATFORM
Rocket Engine Add-on
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Software Components
● numenGo|FLpolymorphic components
Thermodynamic sources
flow sources
Heat exchanges
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Software Components
● numenGo|FLpolymorphic components
● Pipes● Distributed models
● Dynamic discretization
● Flexible geometry● Optional Inertial effects● Convective heat exchange
© numenGo | www.numengo.com 9/20
numenGo|FL
● numenGo|MPS
● A Media Property Server to compute fluid or solids thermodynamic properties, optimized for system simulation
● Object Oriented, compliant to the CAPE-OPEN specification for
physical properties server
● Compute thermodynamic properties for all state of matter:● Liquid, gas, two-phase or solid● Pure compound or mixture
● From simple description (ie perfect gas) to most precise state of the art descriptions (ie fundamental equation of state of Helmholtz, ECS, etc...
© numenGo | www.numengo.com 10/20
numenGo|FL
● numenGo|FFCFFC is strongly integrated with MPS, and provides all base objects to solve mass and heat transfer
● Mass transfer models● Flow equations
● incompressible, real fluid compressible, perfect gas compressible
● Flow resistance models● Friction factor models (Colebrook, Churchill,...)● Flow resistance models (2-K method, Cq, Crane...)● Two-phase flow
● Two-phase correlations (Friedel, Bankoff...)● Slip ratios (homogeneous, Chisholm, Zivi...)● Bulk properties (Dukler, Cicchitti, McAdams...)
● Flow component models (tee junction, pumps, turbines, ejectors...)
© numenGo | www.numengo.com 11/20
numenGo|FL
● numenGo|FFCFFC is strongly integrated with MPS, and provides all base objects to solve mass and heat transfer
● Heat transfer models● Conduction● Forced and free convection
● Two-phase forced convection● Boiling (Chen, VDI...)● Condensation (Shah, Cavallini & Zecchin...)
● Radiation
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numenGo|FL
● Focus on an important FFC feature : compressible flows● Cryogenic systems often deal with fluids with real fluid behaviour
● Supercritical, 2-phase or close to saturation
● Flows canno't be properly predicted with incompressible assumptions, or with perfect gas compressible assumptions
● Cryogenic systems often use calibrating orifices● => chocked flows !!
In-house algorithm to compute compressible flows and predict chocked flows in real fluid domain
Validation against NASA experiments with subcooled N2● Nasa Technical Memorandum TM X-71516
Two-phase chocked flow of subcooled nitrogen through a slit, NASA, 1974
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Compressible flows
● NASA experiments vs numenGo's algorithm
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Applications
● Launcher cryogenic storage● Aim: predict behaviour over different mission profiles
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Applications
● Satellite combined self-pressurized storage
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Applications
● Satellite combined self-pressurized storage
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Applications
● Satellite combined self-pressurized storage
© numenGo | www.numengo.com 19/20
Possible studies
● Architecture evaluation and cycle performance
● Start-up and shut-down sequence control strategies
● Break-down configuration analysis
● Stability analysis
● Storage management
© numenGo | www.numengo.com 20/20
Conclusion
● NumenGo's offer
● State of the art solutions, scalable model database● Best-in-class physical content
● Unique modelling paradigm● design new specific models for dedicated business applications
● Highly polymorphic● From simple to very complex thermofluid systems● Usable by engineers or experts
● Available on most used system simulation environment