29 - accelerated concept to product process

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 Innovative CAE Solutions Accelerated Concept to Product (ACP) Process Highly Optimized Longitudinal Rail Achieving 45% Mass Reduction w w w . a u t o s t e e l . o r g FutureSteelVehicle (FSV) Design Methodology Akbar Farahani, PhD. ETA Inc.

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5/17/2018 29 - Accelerated Concept to Product Process - slidepdf.com

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Innovative CAE Solutions

Accelerated Concept to Product (ACP) Process

Highly Optimized Longitudinal Rail

Achieving 45% Mass Reduction

w w w . a u t o s t e e l . o r g

FutureSteelVehicle (FSV) Design Methodology

Akbar Farahani, PhD.ETA Inc.

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Innovative CAE Solutions

AGENDA

• Introduction

• Background

• Objective

• FSV Methodology (ACP Process)

 

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• o a ro ec• FSV Pilot Project Process, Results and outcome

• Conclusion

• Q/A

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Innovative CAE Solutions

INTRODUCTION

Future Steel Vehicle

program introduce steel solutions for the

next generation of advance powertrain

vehicles utilizing the most advanced steels,

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manu ac ur ng ec no ogy an es gnOptimization Technology.

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Innovative CAE Solutions

BACKGROUND

• FGPC (Future Generation Passenger Compartment)Phase 1 & 2 projects supported by A/SP havepreviously validated the major portions of this design

and development process if starting point is an existingstructure (Current Production or Benchmarkingvehicle)

 

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 –  - -reduction

 –  Phase 2- Used GM (Donor ) vehicle with 15% to 20% potentialmass reduction

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Innovative CAE Solutions

BACKGROUND

• The Accelerated Concept to Product (ACP) Processlooks into a fresh new product with no informationfrom the producer.

 – The method first defines the optimum loadpath of a cleansheet design by blocking out the initial structure.

 – It continues with the previous proven methods developed byFGPC Phase 1 & 2.

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 – New tasks have been added to the ACP Process since thecompletion of this project.

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Innovative CAE Solutions

PILOT PROJECT OBJECTIVES

Envelope &Target Setting(Calibration)

DesignConfirmation

 

First objective of FSV Pilot Project is to validate theproposed methodology.

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Multidisciplinary (MD) 3G(Geometry, Gauge & Grade)

Design Optimization

Multidisciplinary (MD) TopologyOptimization

 ACP Pilot Project Development 

Process

 ACP Pilot Project Development 

Process

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Innovative CAE Solutions

PILOT PROJECT OBJECTIVES

Donor Vehicle

 

Second objective is apply methodology to A/SP LWFE

Front Rail & establish additional mass savings

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Rail: 16.34kg

Systemmass reduction: -22.4%

Rail: 12.25kg

Pilot Project Baseline

System

mass reductions:TWT No. 2: -26.5%

TWT No. 3: -31.8%

A/SP LWBConcept

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Innovative CAE Solutions

Styling Packaging ParametersPredecessor

New Design

CAD/FEAPart Models

Courtesy of SFE Concept

ACP PROCESS ADVANTAGES

Fresh Product and New Architecture

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 S y ng Pac ag ng Topo ogy Geome ry Gra e GageAdvantages/Returns Comprehensive Goals Achievable. Synchronized Engineering Design, CAE and CAD. Greatest Possible Mass Reduction.

Robust Design & overall efficiency improvements. Reduce # of Parts, Efficient Manufacturing (reduce cost of Labor,Material and Tooling).

InvestmentNew Process, tooling/manufacturing process/prototyping and Testing

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Innovative CAE Solutions

PROJECT OVERVIEW

Approx definition ofDesign Space

MD Topology

Optimization

PrimaryDesign Envelope

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Concept Design

MD 3G DesignOptimization

ParameterizedDesign Envelope

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Innovative CAE Solutions

• Front Rail Pilot Project to validate methodology1. Block out Design Envelope

2. Topology Optimization

3. Parameterize Geometry4. Design Optimization constraints

5. Detailed Geometry (Shape), Gauge (thickness) & Grades (material)MD 3G Optimization

FRONT RAIL SETUP

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• Optimization MD Load Cases – NCAP Front Impact

 – IIHS Front Impact 40% ODB

 – Static Stiffness

• Torsional• Bending

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Innovative CAE Solutions

TOPOLOGY OPTIMIZATIONDESIGN SPACE

Existing Front Rail Geometry (shown only for reference)Design Space, the extreme packaging volume available to the

optimization. New Front Longitudinal Rail must fit within this space

Top View

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Bottom View

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Innovative CAE Solutions

TOPOLOGY OPTIMIZATIONRESULTS

Side View

Design Space & Optimization Original Rail & Optimization

Design Space Original Rail Geometry

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Top ViewOptimization Optimization

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Innovative CAE Solutions

• 1st Topology Optimization provides:

 – An initial load path, the base for Optimum Dynamic

Load path and MD 3G optimization

 – Insight into how the structure should be designed

 

TOPOLOGY OPRIMIZATIONRESULTS

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• Topology optimization is an iterative process

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Innovative CAE Solutions

 

MD OPTIMIZATION

MD 3G DESIGN OPTIMIZATIONPROCESS

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DesignOptimization

(Geometry, Gauge & Grade)

DESIGN SIMULATIONAnalysis Tools (Static, Dynamic)

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Innovative CAE Solutions

GEOMETRYPARAMETERIZATION

• Longitudinal Rail must fit within Design SpacePlanes cut through mesh

Equivalent planes cut through Design Space

• 15 cross-sectional stations along length of B-Spline

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• Baseline longitudinal Rail within design space

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Innovative CAE Solutions

CROSS-SECTIONALDESCRIPTIONS

Cross-sectional shape govern by 12 control points Limits of Cross-section shape change

– Max: Outer limit of Design Space

– Min: 60% of outer boundary

1 15

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1 2

3

4

5

6

9

8

7

10

11

12

1 2

3

4

5

6

9

8

7

10

11

12

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Innovative CAE Solutions

MD 3G DESIGN OPTIMIZATIONPROBLEM STATEMENT

Maximize: Mass Reduction

Subject to: Section Force <= 35 kN

By Varying: Shape (106 variables)

Material: DP350/600, DP500/800, DP700/1000 (7 variables)

Thickness: 0.62.3mm (7 variables)

 

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.

for each section

Gauge & Material options:MATERIAL & GAUGE VARIABLES

MATERIAL GAUGE RANGE

DP350/600 0.62.3mm

DP500/800 0.62.3mm

DP700/1000 0.62.3mm

As shown, Rail’s shape variables at full extent of Design Space

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Innovative CAE Solutions

FINAL DESIGN

SECTION MATERIAL GAUGE

(mm)

MASS

(kg)

1 DP350/600 1.0 0.48

2 DP500/800 1.0 0.46

3 DP700/1000 0.7 0.64

Side Top

12 3

4

5

ISO

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. .

5 DP700/1000 2.0 1.58

6 DP700/1000 2.3 3.53

7 DP700/1000 1.5 0.69

8 DP700/1000 0.8 0.37

9 DP700/1000 0.6 0.26

TOTAL 8.98MASS:

Baseline A/SP LWFE-LWB (: 12.25kg)

Final Design: 8.98kg (-27%baseline)

6

7

89

Manufacturingconstraints were not applied

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Innovative CAE Solutions

MD 3G OPTIMIZEDand BASELINE DESIGN

TopISO

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Side

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Innovative CAE Solutions

FINAL DESIGN:NCAP PERFORMANCE

Baseline

Final Design

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Innovative CAE Solutions

FINAL DESIGN:NCAP PERFORMANCE

Baseline Final Design

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Innovative CAE Solutions

FINAL DESIGN:40% ODB PERFORMANCE

Good

Acceptable

Marginal

Poor

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Innovative CAE Solutions

FINAL DESIGN:STATIC STIFFNESS

Torsional StiffnessFinal Design: 17,094 Nm/degBaseline: 17,788 Nm.deg

Bending Stiffness

Final Design: 11,870 N/mmBaseline: 12,122 N/mm

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Innovative CAE Solutions

SUMMURY of RESULTS

8

10

12

14

16

18

   A   S   S   (   k  g   )

Front Rail: Donor Vehicle, LWFE & FSV Pilot ProjectComparison

Donor Vehicle

LWFE: LWB

 

-25% -45%

-27%

% DONOR VEHICLE

% LWFE-LWB

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New Design Optimization Method (Topology & 3G) proven effective

Mass reduction: 27% over LWFE-LWB (A/SP optimized design)45% over Donor Vehicle

DONOR VEHICLE LWFE-LWB FSV FINAL DESIGN

16.34kg 12.25kg 8.98kg

0

2

4

6

1

   M

 

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Innovative CAE Solutions

MD 3G OPTIMIZATIONMASS RESPONSE

10

12

14

16

    (   k  g   )

Mass Variation During Optimization Individual Evaluation

Baseline Design

CBD (Current Best Design)

CBD Trendline

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0

2

4

6

0 200 400 600 800 1000 1200

   M

  a  s

 

Evaluation Number

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Innovative CAE Solutions

CONCLUSION

ACP Design Process

• Provides guidance for optimum load pathunconstrained by historical engineering judgment.

• Develops non-intuitive solutions for structural

performance.

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• Develops non-intuitive optimized shapes andcomponent configuration.

• ACP Design Process applied to Future Steel Vehicle

program will be applied to the full structure andaddress manufacturing constraints.