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Topology Optimization Driven Design Development for Automotive Components Ronald J. Banchak FE-DESIGN Optimization Inc., USA Markus Stephan and Michael Böhm FE-DESIGN GmbH Germany
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Topology Optimization – Driven Design Development for Automotive Components

Ronald J. BanchakFE-DESIGN Optimization Inc., USA

Markus Stephan and Michael Böhm

FE-DESIGN GmbH Germany

Overview

• Short Introduction into Topology Optimization for CFD

– Basic Concepts

– Optimization Workflow

• Automotive Application Examples

– Automotive HVAC Flow Splitter

– Intercooler Intake Hose

– Exhaust Gas Recirculation Cooler

• Summary

Support

and

Coaching

Software-

Development

Engineering,

Services,

Customization

FE-DESIGN Your Partner for Structural and CFD optimization

FE-DESIGN combines development and engineering

of optimization methods

FE-DESIGN has the ability to deliver best solutions for

our customers, benefiting from many years of experience

Our customers improve their

optimization processes continuously due to

knowledge transfer with FE-DESIGN

Customers leverage FE-DESIGN´s knowledge,

with long-term business relationships

FE-DESIGN: Locations and ANSYS Partners

FE-DESIGN Optimization Inc

• Located in Des Plaines, IL (Chicago)

• An Affiliate of FE-DESIGN GmbH, Germany

• Dedicated to supporting our US customers

• Ron Banchak (General Manager), Mark Miller (Senior Technical Consultant)

FE-DESIGN Optimization Inc.

2700 South River Road, Suite 302

Des Plaines, IL 60018

[email protected]

FE-DESIGN: Customers (extract)

CAD-Parameter based Optimization

• Optimization problem is based on a parameterized Geometry (CAD, Preprocessor, ...)

• Geometric Variation is achieved by reconstruction of an individual geometry based on a given set of parameters

• Geometry parameters are varied automatically within a given range (optional)

po

ssib

le v

aria

nts

initia

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esig

n

Optimization problem has

to be parameterized

Restricted solution space

Comparative high

computational effort

8

Topology Optimization

initia

l d

esig

n

• Optimization problem is based on the (meshed) available Design Space

9

Topology Optimization

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ssib

le v

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nts

• Optimization problem is based on the (meshed) available Design Space

• Geometric Variation is achieved by sedimenting individual cells

initia

l d

esig

n

10

Topology Optimization

po

ssib

le v

aria

nts

• Optimization problem is based on the (meshed) available Design Space

• Geometric Variation is achieved by sedimenting individual cells

• An individual design proposal can be derived based on the collectivity of all free (= non-sedimented) cells

• General optimization schemes are not feasible

initia

l d

esig

n

11

Redesign Rule: Elimination of local

backflow and recirculation by blocking out

of backflow areas

provides an “optimization” approach by

means of “improvement”

The Optimality Criterium is to avoid flow

recirculation

OC-based Topology Optimization

An achieved consequence is (for many

technical flows) a reduction of pressure

drop

Direct run time

communication with

the CFD solver

Only one single CFD

solver-run for complete

optimization process

suitable for large real world applications

Topology optimization with TOSCA Fluid

ANSYS Fluent

TOSCA Fluid Optimization

Time resp. Iteration

Optimization

and

Flow Result

Shared-Memory

Example Animation:

Current optimzation

solution during

convergence process

Topology optimization with TOSCA Fluid

TOSCA Fluid – Process Integration

• Result smoothing with TOSCA Fluid.smooth

Friday, September 07, 2012 2012 Automotive Simulation World Congress 14

Topology OptimizationDerived Verification/

CAD model

Verification/CAD

Iso surface calculation, smoothing, data reduction

s m o o t h

surface model

(IGES, VRML, STL)

Topology Optimization driven Design DevelopmentExample: Intercooler Design

Friday, September 07, 2012 2012 Automotive Simulation World Congress 15

Conventional Design Development

Package

Topology Optimization driven Design Development

Design

Iteration 2

Design

Iteration 1

Design

Iteration 3

Final

Design

Topo Opt

Proposal

Design

Recon.

Final

DesignPackage

Topology Opt

Additional

Constraints

6 to 10 Iterations in CAD

Parent Design,

KnowHow,

Intuition Analysis

Analysis Analysis

Analysis

Analysis

CADSTL

Application Example 1:Automotive HVAC Flow Splitter Manifold

Friday, September 07, 2012 2012 Automotive Simulation World Congress 16

HVAC Flow Splitter Manifold (generic)

Behr GmbH & Co. KG

HVAC Flow SplitterDesign Space, physical models and Bound.Cond.

Dimensions = (0,2 x

0,14 x 0,12) m3

Fluid = AIR

Objective: Design

Proposal with low

pressure drop

Standard Duct

and available

Design Space

HVAC Flow SplitterResults: Optimized Geometry (Design Proposal)

Original Part Optimized Design Proposal

HVAC Flow SplitterResults: Optimized Geometry, Pathline and Pressure Drop at 5 m/s

20

Design Space

Optimized Design Proposalrel. mean Total Pressure Drop

Std Opt

-26,1%

p 26 %

Application Example 2:CFD Topology Optimization of an existing Intercooler Intake Hose

Friday, September 07, 2012 2012 Automotive Simulation World Congress 21

Introduction

Turbocharger System

Introduction

Inital Design Proposal

Pathlines (colored with velocity magnitude)

Flow Performance of the Inital Design Proposal

Contours of Total Pressure Gradient (Magnitude), pa/m

dissipative flow separation and

recirculation zones

| grad ptot |

exemplary local flow

separation

Optimization Results (1)Sedimented Zones

Result Analysis: Geometry

Inital Design optimized Design

Result Analysis: Pathlines (detail) (coloured with Velocity Magnitude)

Inital Design optimized Design

Result Analysis: Total Pressure DropComparison of the Total Pressure Drop

100%

79.6%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

rela

tive T

ota

l P

ressure

Dro

p

Initial Design Optimized Design

-20,4%

Application Example 3:Exhaust Gas Recirculation Cooler

Friday, September 07, 2012 2012 Automotive Simulation World Congress 29

EGR Cooler

Exhaust Gas Recirculation Systems NOx-Abatement for internal combustion engines

Functional diagramm

Example Assembly

EGR CoolerResults for existing Designs

“Standarddesign 1”

ptot = 9,5 pa

Uniformity Index = 0,81

Contours of Normal Velocity Magnitude at Outlet, m/s

EGR CoolerDesign Space and Model settings

Boundary Conditions:

Inflow = PRESSURE

Outflow = INLET, wout = -3 m/s

Fluid AIR

Isothermal, turbulent, stationary,

incompressibel

= 1.81 · 10-5 kg/(m·s)

= 1.205 kg/m3

available

design space

available

design space

EGR CoolerResults: Optimized Design Proposal

EGR Cooler: Comparison of DesignsCross sectional velocity uniformity and heat exchanger efficiency

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Std 1 Std 2 Ver 1

Designvariante

0,54

rela

tive

To

tal P

ressu

re D

rop

rela

tive

Exch

an

ge

r E

ffic

ien

cy

0,67

1,0

0,66

0,87

0,96

Transfer Efficiency

+11% resp. + 45%

Pressure Drop

- 19% resp. - 46 %

Optimized Design ProposalStandard2Standard1

Summary

• Topology Optimization of interior flow domains using Optimality Criteria Methods

• Possible Optimization Objectives are

– Reduction of total pressure drop

– Homogenization of cross section velocity distribution

– and more…

• Only one single CFD solver-run for a complete optimization process is needed

• Significantly faster than traditional automatic Optimization Procedures like CAD-parameters, Morphing etc.

• Giant solution space Innovation!

• Actual available for ANSYS FLUENT Ver. 14

Appendix

39

40

Design Space

Topology optimization with TOSCA Fluid

• Define the Design

Space (e.g. CAD)

Outflow 1

Outflow 2

Inflow

• Define your

Boundary

Conditions

• Run the

Optimization

• Meshing “as usual”

41

Topology optimization with TOSCA Fluid

Design Space

Outflow 1

Outflow 2

Inflow

Optimized Channel

Shape

Prevented Flow

Free Flow

Transition Area

(defining new channel shape)


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