LMS Amesim/STAR-CCM+ co-simulation: Fluid-thermal analysis of a water-jacket

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Unrestricted © Siemens AG 2017 Page 1 Siemens PLM Software LMS Amesim / STAR-CCM+ co-simulation Fluid-thermal analysis of a water-jacket Realize innovation. Unrestricted © Siemens AG 2017

Transcript of LMS Amesim/STAR-CCM+ co-simulation: Fluid-thermal analysis of a water-jacket

Page 1: LMS Amesim/STAR-CCM+ co-simulation: Fluid-thermal analysis of a water-jacket

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LMS Amesim / STAR-CCM+

co-simulationFluid-thermal analysis of a water-jacket

Realize innovation.Unrestricted © Siemens AG 2017

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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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Simcenter™ Portfolio for Predictive Engineering Analytics

LMS Imagine.Lab

LMS Imagine.Lab Amesim

LMS

Imagine.Lab

System

Synthesis

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Simcenter™ Portfolio for Predictive Engineering Analytics

STAR-CCM+

STAR-CCM+

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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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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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Engine cooling system

ENGINEHEATER

CORE

RADIATOR

THERMOSTAT

AIR FLOW

TANK

Engine cooling

system

Engine water

jacket

PUMP

• Global system overview

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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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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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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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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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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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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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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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• 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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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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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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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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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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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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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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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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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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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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…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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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