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
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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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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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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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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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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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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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• 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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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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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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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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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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MD 3G OPTIMIZEDand BASELINE DESIGN
TopISO
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Side
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FINAL DESIGN:NCAP PERFORMANCE
Baseline
Final Design
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FINAL DESIGN:NCAP PERFORMANCE
Baseline Final Design
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FINAL DESIGN:40% ODB PERFORMANCE
Good
Acceptable
Marginal
Poor
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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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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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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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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.