LMS Imagine.Lab Amesim / STAR-CCM+ co-simulation - Thermal analysis of a combustion chamber
LMS Amesim/STAR-CCM+ co-simulation: Fluid-thermal analysis of a water-jacket
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Transcript of LMS Amesim/STAR-CCM+ co-simulation: Fluid-thermal analysis of a water-jacket
Unrestricted © Siemens AG 2017
Page 1 Siemens PLM Software
LMS Amesim / STAR-CCM+
co-simulationFluid-thermal analysis of a water-jacket
Realize innovation.Unrestricted © Siemens AG 2017
Unrestricted © Siemens AG 2017
Page 2 Siemens PLM Software
Agenda
• Introduction to the product portfolio
• Motivations for this co-simulation study
• Setup of the 1D LMS Amesim model
• Setup of the 3D STAR-CCM+ model
• Results of the LMS Amesim / STAR-CCM+ co-simulation
• Going further
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Page 3 Siemens PLM Software
Simcenter™ Portfolio for Predictive Engineering Analytics
LMS Imagine.Lab
LMS Imagine.Lab Amesim
LMS
Imagine.Lab
System
Synthesis
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Page 4 Siemens PLM Software
Simcenter™ Portfolio for Predictive Engineering Analytics
STAR-CCM+
STAR-CCM+
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Page 5 Siemens PLM Software
Simcenter™ Portfolio for Predictive Engineering Analytics
Cornerstones for a future-proof engineering approach
Cloud
Licensing
flexibility
Covering full range of
methods
Analytics, reporting &
exploration
Deployment flexibilityOpenness &
ScalabilityUser experience
Industry &
engineering expertiseSystems approach
Collaboration &
workflow
Multidiscipline
& multiphysics
R
F
L
P
Controls
1D
3D
TEST
CFD
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Page 6 Siemens PLM Software
Agenda
• Introduction to the product portfolio
• Motivations for this co-simulation study
• Setup of the 1D LMS Amesim model
• Setup of the 3D STAR-CCM+ model
• Results of the LMS Amesim / STAR-CCM+ co-simulation
• Going further
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Page 7 Siemens PLM Software
Engine cooling system
ENGINEHEATER
CORE
RADIATOR
THERMOSTAT
AIR FLOW
TANK
Engine cooling
system
Engine water
jacket
PUMP
• Global system overview
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Page 8 Siemens PLM Software
Local water jacket phenomena are determinant
An accurate water jacket
pressure drop computation and
local heat exchanges are
required for computing the
coolant temperature evolution
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Page 9 Siemens PLM Software
Motivations for co-simulation
Engine cylinder head
Water-jacket geometry
• Strong coupling between the local coolant flow and heat exchanges to
the engine thermal masses
• Coolant flow streamlines impact the global water jacket pressure drop
• Optimal design requires multiple iterations
• A valued approach improving both 1D and 3D CFD results
• Modelling of system interactions
• Realistic boundary conditions
• Possibility for multiple design iterations.
Pain points:
Solution: co-simulation
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Page 10 Siemens PLM Software
Presentation of the co-simulation case
• This study demonstrates the ability of LMS Amesim
and STAR-CCM+ to co-simulate complex flow analysis
along with complete dynamics of the system which is
represented using 1D LMS Amesim models
• Aim: to simulate a complete engine thermal
management system with local zooming on the water
jacket
• This type of study enables the exploration of design
space of water jacket geometry
STAR-CCM+ has a dedicated user interface to
connect to LMS Imagine.Lab Amesim that makes
the co-simulation process easy to set-up.
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Page 11 Siemens PLM Software
Agenda
• Introduction to the product portfolio
• Motivations for this co-simulation study
• Setup of the 1D LMS Amesim model
• Setup of the 3D STAR-CCM+ model
• Results of the LMS Amesim / STAR-CCM+ co-simulation
• Going further
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Page 12 Siemens PLM Software
1D LMS Amesim model
Engine thermal management
Fuel economy and performance
Passenger comfort
Vehicle integration analysis
LMS Amesim is a world-leading platform for
simulating multiphysics systems
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Page 13 Siemens PLM Software
Engine thermal model
• Thermal model of engine
• Represents engine combustion and friction,
engine thermal mass, heat exchange with
underhood, water-jacket and oil-lubrication
system
• Representation of engine thermal masses
• Engine split into thermal lumped masses:
• Engine block: inner block side, piston, external
block side, lower block
• Cylinder head: intake side, exhaust side,
cover with camshaft box
Engine thermal lumped masses
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Page 14 Siemens PLM Software
Agenda
• Introduction to the product portfolio
• Motivations for this co-simulation study
• Setup of the 1D LMS Amesim model
• Setup of the 3D STAR-CCM+ model
• Results of the LMS Amesim / STAR-CCM+ co-simulation
• Going further
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Page 15 Siemens PLM Software
• Extraction of water-jacket using CAD2AME
• Based on an existing CAD model
• CAD cleaning and surface repair in
STAR-CCM+
3D STAR-CCM+ model
CAD
• 3D polyhedral unstructured mesh
• ≈1M cells for co-simulation case
• y+≈5
Mesh
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Page 16 Siemens PLM Software
3D STAR-CCM+ model
• Ethylen Glycol (50%), Water (50%)
• Incompressible
• Fluid properties at 1bar and 80 degC
• Segregated solver
• Implicit unsteady
• 𝑘 − 𝜖 turbulence model
Fluid properties
Numerical model
Temperature Contours
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Page 17 Siemens PLM Software
Agenda
• Introduction to the product portfolio
• Motivations for this co-simulation study
• Setup of the 1D LMS Amesim model
• Setup of the 3D STAR-CCM+ model
• Results of the LMS Amesim / STAR-CCM+ co-simulation
• Going further
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Page 18 Siemens PLM Software
Co-simulation model
LM
S A
me
sim
to
STA
R-C
CM
+
STA
R-C
CM
+ to
LM
S A
me
sim
Cylinder head wall temp
Engine block wall temp
Inlet pressure
Inlet temperature
Outlet 𝑚Cylinder head heat fluxes
Engine block heat fluxes
Outlet pressure
Outlet temperature
Inlet 𝑚
Co-simulation
Cylinder head
exhaust side
Cylinder head
intake side
Engine inner
block side
Engine outer
block side
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Page 19 Siemens PLM Software
Co-simulation results
• Unsteady simulation is done by following NEDC
driving cycle
NEDC cycle speed and vehicle speedParticle tracks (steady simulation using
STAR-CCM+ 𝒎 = 𝟎, 𝟓 𝒌𝒈𝒔−𝟏)
LMS Amesim
STAR-CCM+
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Co-simulation results
Engine temperature evolution
along the cycle
LMS Amesim
STAR-CCM+
STAR-CCM+
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Page 21 Siemens PLM Software
Co-simulation results
• Complete detailed coolant behavior during start-up phase
in the water jacket: pressure drop and heat exchange
prediction
• Using 1D models LMS Amesim represents complete
dynamics of the system including:
• Engine thermal model with metal masses, oil circuit and
external heat exchanges
• Vehicle fuel economy and performances in interaction
with the gearbox and the alternator
• Possibility to carry out multiple design studies and
optimize water jacket heat transfer and pressure loss
Mass flow rates for coolant
LMS Amesim
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Page 22 Siemens PLM Software
Co-simulation results
Heat fluxHeat flux (co-simulation)
• Realistic boundary conditions
• Dynamic simulation
• Multi-physics model
Added value provided by
co-simulation
Pressure time evolution
LMS Amesim LMS AmesimSTAR-CCM+
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Page 23 Siemens PLM Software
Agenda
• Introduction to the product portfolio
• Motivations for this co-simulation study
• Setup of the 1D LMS Amesim model
• Setup of the 3D STAR-CCM+ model
• Results of the LMS Amesim / STAR-CCM+ co-simulation
• Going further
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Page 24 Siemens PLM Software
STAR-CCM+ / LMS Amesim co-simulation user guide in LMS
Amehelp
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Page 25 Siemens PLM Software
Systems-Driven Product Development
Predictive Engineering Analytics
Role in Systems-Driven Product Development
Predictive Engineering AnalyticsSystem Mockup
Managed in PLM Context - Multi-Domain Traceability, Change and Configuration
TEST
Digital
Twin
1D
CFD
Exploration - Analytics - Reporting
3D
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Page 26 Siemens PLM Software
3D SIMULATION
CFD SIMULATION
1D SIMULATION
From disconnected models and data …
Customer Usage data
Simulation data
Test data TEST MODELING
Historical data
CONTROLS
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Page 27 Siemens PLM Software
…to a performance Digital Twin
3D SIMULATION
CFD SIMULATION
1D SIMULATION
Customer Usage data
Simulation data
Test data TEST MODELING
Historical data
CONTROLS
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Page 28 Siemens PLM Software
Contact
Karim NASSAR & Stéphane NEYRAT | LMS Amesim Platform
Romain GONARD | LMS Amesim Powertrain subsystems
Joe OSMAN | STAR-CCM+
Siemens Industry Software S.A.S.
Digital Factory Division
Product Lifecycle Management
Simulation & Test Solutions
DF PL STS CAE 1D
siemens.com