simulation models for development of components with .../file/hot... · - the complete process...
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CHS Theme Day at Volvo Cars, 170906
Simulation models for development of components with tailored material properties
Professor Mats OldenburgLuleå University of Technology
Presentation outline:- The press hardening process- Process modelling- Components with tailored material properties- Challenges and opportunities
Press hardening – from innovation and research in Luleå toa global technology
Background • Manufacturing of ultra-highstrength steel components
• Thermo-mechanical process
• Boron alloyed steel
• Simultaneous forming andquenching
• Innovation from Luleå, Sweden, 40 years ago.
• Cooperation between the university and the iron works NJA (nowSSAB)
• Industrialized by Plannja Hardtech (now Gestamp Hardtech)
• Today the globally dominant technology for weight reduction ofvehicle structures
Interactions involved in the thermo-mechanical formingprocess
1 - Deformation dependent thermal boundary conditions
2a - Mechanical properties depend on temperature
2b - Thermal expansion
3a - Latent heat due to phase transformations
3b - Thermal properties depend on microstructure
4 – Microstructure evolution depend on temperature
5a - Mechanical properties depend on microstructure evolution
5b - Volume change due to phase transformations
5c - Transformation plasticity
6 - Phase transformations depend on stress and strain
Research: Process modelling
Advanced automotiveapplications
Structural components withdistributed tailored mechanicalproperties
• Side rails
• B-pillar
• Other structural components
Research: Process modelling
Results – final component
Measured and calculatedforming force
Maximum springback = 0.29 mm (negative, scaled 20 times)
Martensite
(Åkerström, Oldenburg: Numerical simulation of a thermo-mechanical sheet forming experiment, Numisheet 2008, Interlaken)
Tailored properties - process modelling
Formation of ferriteFormation of martensite
Tool model for studies of pressing sequence Steady state condition - temperature histories
Industrial application example, Gestamp Hardtech
Tooling compensation for cooling deformation of a tailored property component- Volvo XC90 A-pillar inner reinforcement
- Initial deformation range -2.4 to 3.3 mm
- Cooling deformation compensation in one step
- Production tool design based on simulation results
- Component within tolerances (+/- 1 mm) with only minor further adjustments of the production tool
Range -2.4 mm (blue) to 3.3 mm (red)
Out of plane cooling deformation Martensite content
Range 0.0% (blue) to 99.9% (red)
Paradigm shift
- Component and structure design include design of material properties that govern final performance
- The complete process chain is taken into account during technology development
- Technology developments creates new demands on accuracy in material and process modelling
- New demands on material and process modelling when performance simulations are directly linked to process simulation results
Challenges and opportunities
- Short term:
- Improved microstructure models that takesdifferent types of ferrite, bainite and martensiteinto account => better prediction of materialproperties and performance
- Model development for new steel grades andmanufacturing processes
- Accurate prediction of strength, deformation andfailure properties based on process simulations
- Long term:
- Accurate prediction of fatigue properties based onprocess simulations
- Material development based on simulationmodels, taking the complete process chain intoaccount
Example of cooperation between research and industrial development
Industrial partner
LTU, Solid Mechanics
Component function analysis
Analysis of hot stamping
Process simulation
Crash simulation and test
IMCOR DYNSYS
LOWHIPS
TiFORM I, II
20171996
OPTUS
PROCSIM II PROCSIM III
Tailored material properties
CHS Failure modelling
PROCSIM IV
OPTUS Hot
OPTUS II
Failure modelling and simulation
Wear modelling and simulation
OPTUS III
FFI Tool Wear Diecond
From quasi-static to high-speed (VHS) (20 m / s).
Laboratory resources Materials testing machines and Split-Hopkinson pressure bar
High Speed Test (VHS) of car structure component
15 m/s (54 km/h)15 m/s (54 km/h), max. velocity = 20 m/s, max. force = 100 kN
Laboratory resources
15 m/s (54 km/h), max. velocity = 20 m/s, max. force = 100 kN
Laboratory resources High Speed Test (VHS) of car structure component
Measured force
Measured velocity
Fast video camera, 50000 frames/sec, at 512x512 resolution
Laboratory resources High speed, high temperature strain field measurements using Digital
Speckle Photography, notched specimen
Boron steel sheet, heated to 900 DegC, fast cooling to 800 DegC, initial strain rate 200 /sec
Impact mechanics– Tensile testing of Inconel 718 at high temperatures and strain rates– High temperature compressive testing in Split Hopkinson Pressure Bar
0 0.1 0.2 0.3 0.4 0.5 0.6 0.70
100
200
300
400
500
600
700
True strain
True
stre
ss [M
Pa]
Strain rate ~4400 1/s
900oC1000oC1100oC
0 0.05 0.1 0.15 0.2 0.25 0.3 0.350
50
100
150
200
250
300
350
400
450
True strain
True
stre
ss [M
Pa]
Strain rate ~900 1/s
900oC1000oC1100oC
Laboratory resources
Hot tensile test at 800 DegC – austenite phaseAustenitisation at 900 DegC for 3 minutes, fast cooling to 800 DegC, strain rates = 1, 10, 50 and 200/sec
Engineering stress–strain curves
Laboratory resources
• The sixth international conference on hot forming and press hardeningwhere arranged by Luleå University of Technology, University of Kasseland AIST in Atlanta, Georgia, USA, 4 - 7 June, 2017.
6th International Conference on Hot Sheet Metal Forming of High-Performance Steel, CHS2 - 2017
• The seventh international conference on hot forming and presshardening where arranged by Luleå University of Technology in Luleå,Sweden, 2 - 5 June, 2019.
7th International Conference on Hot Sheet Metal Forming of High-Performance Steel, CHS2 - 2019
© Gestamp 2017
CHS Temadag
© Gestamp 2017 2
• Development of the OPTUS model started in 2005
• Cooperation with Ford Forschungszentrum Aachen (FFA), Volvo cars & Luleå university of technology
• Features that were considered lacking in models available in commercial software• Mesh size regularization • Capturing thickness dependent fracture elongation for shells
Background Failure prediction at Gestamp
© Gestamp 2017 3
The OPTUS model
𝐷𝐷 = 𝐴𝐴𝑙𝑙𝑡𝑡
2
𝑒𝑒𝐵𝐵 𝜀𝜀𝑝𝑝 −𝜀𝜀0 − 1 , 𝜀𝜀𝑝𝑝 ≥ 𝜀𝜀0, �𝝈𝝈 = 𝝈𝝈(1 − 𝐷𝐷)
• A = Material parameter
• B = Material parameter
• l = Characteristic element size
• t = sheet thickness
• 𝜀𝜀0 = localization threshold strain
© Gestamp 2017 4
The OPTUS model
Longitudinal coordinate
0
0,05
0,1
0,15
-2,5-1,5
-0,50,5
1,52,5
L0
x/t
a)
𝜀𝜀𝑝𝑝
Summary
• The predicted fracture strain is a function of stress state, mesh size and sheet thickness.
• Overall behavior is regularized with respect to mesh size
• Handles several sheet thicknesses without modification of input data
© Gestamp 2017 5
Failure prediction with reference to manufacturing history
Thermo-mechanical forming analysis
• Air cooling during transfer
• Forming and quenching
• Post cooling to obtain final shape, thickness and microstructure
Mapping
• Field variables
• Material properties / phase content
• Failure parameters
• geometry/ thickness
Crash analysis
• Force-displacement response
• Deformed geometry
• Area with failure
© Gestamp 2017 6
Failure prediction with reference to manufacturing history
• Approach based on mean-field homogenization
© Gestamp 2017 8
Rear side rail example
Rear side rail example
• Mesh division into property groups
• Flow curves and fracture properties of each group estimated with the MFH method
© Gestamp 2017 9
Rear side rail example
© Gestamp 2017
www.gestamp.com
© Gestamp 2017
Working for a Safer and Lighter Car