The document discusses simulation and optimization of metal forming processes. It describes the Center for Precision Forming (CPF) and its work determining sheet material properties through bulge testing, evaluating stamping lubricants using tests like deep drawing, and simulating processes like multi-point cushion systems. CPF uses finite element analysis and experiments to optimize blank holder forces in multi-point cushions and validate simulations. Future work may adjust forces in production to compensate for material variability.
This chapter aims to provide basic backgrounds of different types of machining processes and highlights on an understanding of important parameters which affects machining of metals with their chip removals.
Metal cutting or Machining is the process of producing workpiece by removing unwanted material from a block of metal. in the form of chips. This process is most important since almost all the products get their final shape and size by metal removal. either directly or indirectly.
The major drawback of the process is loss of material in the form of chips. In this chapter. we shall have a fundamental understanding of the basic metal process.
This chapter aims to provide basic backgrounds of different types of machining processes and highlights on an understanding of important parameters which affects machining of metals with their chip removals.
Metal cutting or Machining is the process of producing workpiece by removing unwanted material from a block of metal. in the form of chips. This process is most important since almost all the products get their final shape and size by metal removal. either directly or indirectly.
The major drawback of the process is loss of material in the form of chips. In this chapter. we shall have a fundamental understanding of the basic metal process.
Additive Manufacturing (2.008x Lecture Slides)A. John Hart
Slides accompanying 2.008x* video module on Additive Manufacturing, Prof. John Hart, MIT, 2016.
*Fundamentals of Manufacturing Processes on edX: https://www.edx.org/course/fundamentals-manufacturing-processes-mitx-2-008x
Finite Element Simulation Analysis of Double Nosing Process in the Assembly o...IJRES Journal
For spherical bearings, the osculation between inner and outer ring may be too big, too small or uneven after extrusion assembly. Based on the finite element software ABAQUS, according to the actual assembly situation of GE40 series of spherical plain bearings, the two-dimensional axisymmetric elasto-plastic finite element mode is built.. During the research of bearings extrusion deformation process, flow law of metal plastic forming will be concluded, meanwhile the contact stress distribution between the inner and the outer rings. During the research of bearings springback process, osculation will be obtained.
Additive Manufacturing (2.008x Lecture Slides)A. John Hart
Slides accompanying 2.008x* video module on Additive Manufacturing, Prof. John Hart, MIT, 2016.
*Fundamentals of Manufacturing Processes on edX: https://www.edx.org/course/fundamentals-manufacturing-processes-mitx-2-008x
Finite Element Simulation Analysis of Double Nosing Process in the Assembly o...IJRES Journal
For spherical bearings, the osculation between inner and outer ring may be too big, too small or uneven after extrusion assembly. Based on the finite element software ABAQUS, according to the actual assembly situation of GE40 series of spherical plain bearings, the two-dimensional axisymmetric elasto-plastic finite element mode is built.. During the research of bearings extrusion deformation process, flow law of metal plastic forming will be concluded, meanwhile the contact stress distribution between the inner and the outer rings. During the research of bearings springback process, osculation will be obtained.
Formability of superplastic deep drawing process with moving blank holder for...eSAT Journals
Abstract In this present work, a statistical approach based on Taguchi Techniques and finite element analysis were adopted to determine the formability of conical cup using warm deep drawing process. The process parameters were temperature, coefficient of fric-tion, strain rate and blank holder velocity. The experimental results were validated using a finite element software namely D-FORM. The AA1050–H18 sheets were used for the superplastic deep drawing of the conical cups. The strain rate by itself has a significant effect on the effective stress and the height of the conical cup drawn. The formability of the conical cups was outstand-ing for the surface expansion ratio greater than 2.0.
Keywords: AA1050-H18, superplastic deep drawing, blank holder velocity, temperature, coefficient of friction, strain rate, conical cups, formability.
Prediction of Draw Ratio in Deep Drawing through Software Simulationsirjes
Deep drawing process is one of the most commonly used Metal Forming Process within the
industrial field. Different analytical, numerical, empirical and experimental methods have been developed in
order to analyze it. In this paper deep drawing process with varying punch and die geometries are analysed. This
work reports on the stages of finite element analysis (FEA) and simulations of a Deep drawing process. The
obtained result allows to find optimum draw ratios in deep drawing.
SIMULATION OF DEEP DRAWING DIE FOR OPTIMIZED DIE RADIUS USING FEM TECHNIQUEIjripublishers Ijri
Deep drawing process is one of the most used Metal Forming Process within the industrial field. Different analytical,
numerical, empirical and experimental methods have been developed in order to analyze it. This work reports on the
initial stages of finite element analysis (FEA) of a Deep drawing process.
this file is about the types of dies and also its manufacturing procedure.this is important for the industry and for the industrial and manufacturing engineering..are of this field is manufacturing engineering and die designalso for the blanking dies and punches
Virtual Reality (VR) in engineering is often associated with applications in product evaluation in terms of mountability, maintainability, ergonomics or in industrial engineering. Nevertheless, several VR applications have been established in recent years that deal with manufacturing processes.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
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Simulation for forming
1. CPF
Simulation and Optimization of Metal Forming
Processes
Taylan Altan, Professor and Director (altan.1@osu.edu)
Center for Precision Forming www.cpforming.org
Engineering Research Center for Net Shape Manufacturing (ERC/NSM)
www.ercnsm.org
The Ohio State University, Columbus, Ohio USA
Prepared for
Brazilian Metallurgy and Materials Association-ABM
63rd Annual Conference-July 28-31, 2008- Santos/SP-Brazil
Center for Precision Forming (CPF) 1
2. Presentation Outline CPF
1. Introduction
2. Determination of sheet material properties
Flow stress
Bulge test as an indicator of incoming sheet quality
3. Tests to evaluate lubricants for stamping
The deep drawing test
The ironing test
The modified limiting dome height (MLDH) test
4. Case studies in process simulation
Multi-point Cushion Systems (MPC)
Warm forming of Al alloys, Mg alloys and High Strength Steels (HSS)
5. Summary
Center for Precision Forming (CPF) 2
3. CPF
Introduction
Stamping process as a system (e.g., the deep drawing process)
1. Workpiece material / Blank 5. Equipment
2. Tooling 6. Part
3. Interface 7. Environment
4. Deformation zone
Center for Precision Forming (CPF) 3
4. CPF
Introduction
FE simulation is widely used in sheet metal forming as a virtual press to:
Predict material flow, stress, strain, temperature, potential failure modes
Troubleshoot a new problem
Validate tool/die designs by engineers
Successful application of FE simulation depends on:
Reliable input material properties (e.g., flow stress data, anisotropy coefficients)
A good understanding of the problem (e.g., boundary conditions such as
workpiece/tool temperatures, interface friction)
Center for Precision Forming (CPF) 4
5. Determination of sheet material properties CPF
In common practice, the uniaxial tensile test is used to determine the properties/flow stress and
formability of sheet metal.
Tensile test does not emulate biaxial deformation conditions observed in stamping.
Due to early necking in tensile test, stress/strain data (flow stress) is available for small strains.
Necking begins
Engineering Stress-Strain Curve True Stress-Strain Curve = Flow stress
In AHSS, the strain hardening exponent [n-value] and Young‟s modulus [E] change
with deformation (strain).
Center for Precision Forming (CPF) 5
6. Determination of sheet material properties CPF
Schematic of viscous pressure bulge test (VPB) tooling setup at CPF
Potentiometer
Sheet
Viscous
medium
Pressure
transducer After forming
Before forming
Stationary Punch
Center for Precision Forming (CPF) 6
7. Determination of sheet material properties CPF
Schematic of viscous pressure bulge test (VPB) tooling setup at CPF
Clamping force
• Die diameter = 4
inches (~ 100 mm) Bulge/
Dome height (h)
• Die corner radius = Pressurized
0.25 inch (~ 6 mm) medium
Initial Stage Testing stage
Pressure (P)
Methodology to estimate material properties from VPB test,
developed at CPF
Measurement Material properties
FEM based
• Pressure (P) inverse technique • Flow stress
• Dome height (h) • Anisotropy
Center for Precision Forming (CPF) 7
8. Determination of sheet material properties CPF
Bulge test (VPB) samples
Before bursting After bursting
4 inches (~ 100 mm)
10 inches
(~ 250 mm)
Center for Precision Forming (CPF) 8
9. Determination of sheet material properties CPF
Flow stress results for sample materials from the bulge test
CPF has conducted a number of industrial case studies for:
• Automotive - OEM,
• Automotive - Tier 1 suppliers
• Aerospace companies,
• NASA,
• Steel producers, etc.,
DP500 (Tensile test) DP500 (Bulge test)
BH210 (Bulge test)
BH 210 (Tensile test )
Center for Precision Forming (CPF) 9
10. Determination of sheet material properties CPF
Bulge test as an indicator of incoming sheet quality
Graph shows dome height comparison for SS 304 sheet material from eight
different batches/coils [5 samples per batch].
Highest formability G , Most consistent F
Lower formability and inconsistent H
Center for Precision Forming (CPF) 10
11. Applications of the bulge test CPF
The bulge test is conducted in biaxial state of stress, thus emulating the
deformation conditions in common stamping operations.
True stress – true strain (flow stress) data is obtained over larger strains (nearly
twice that of uniaxial tensile test). Accurate flow stress data is a necessary input to
process simulation/virtual die tryouts using FEM.
Dome or bulge height at bursting is a good measure of formability of the sheet
material. In comparing different materials of the same sheet thickness, a
larger/higher dome height at bursting, indicates better formability.
Dome height at bursting can be easily used to identify variation in sheet material
property which is commonly attributed to:
a. different incoming coils, and
b. different material suppliers.
Center for Precision Forming (CPF) 11
12. Stamping lubricants in the CPF
automotive industry
Process with oil-based (wet) lubricant
Additional Degreasing
Pre-Oiling Oiling (optional)
Decoiling and (optional) (optional)
cutting
Stacking
Deep Drawing +
Blanks
subsequent
(dry or
blanking
pre-oiled)
operations
[Courtesy: M. Pfestorf, 2005, BMW ]
Center for Precision Forming (CPF) 12
13. Stamping lubricants in the CPF
automotive industry
Process with dry-film lubricant
Deep Drawing +
Decoiling / Recoiling Decoiling subsequent blanking
with Lube coating by and cutting Stacking operations
immersion or spraying Blanks
Hot bath
[Courtesy: M. Pfestorf, 2005, BMW ]
Center for Precision Forming (CPF) 13
14. Test to evaluate lubricants for stamping CPF
The deep drawing test
The deep drawing test has been used successfully for evaluating lubricants supplied by
various manufacturers. CPF is further developing this test for quantitative ranking of
lubricants.
12 inch Initial
blank
6 inch
Deep
drawn cup
Schematic of deep drawing tooling at CPF
Center for Precision Forming (CPF) 14
15. Test to evaluate lubricants for stamping CPF
Schematic of the deep drawing test
As blank holder pressure (Pb) increases, frictional stress (τ) increases based on
Coulomb‟s law.
Pb
where = the frictional shear stress
the coefficient of friction
Coulomb’s law Pb = the blank holder pressure
Center for Precision Forming (CPF) 15
16. Test to evaluate lubricants for stamping CPF
The deep drawing test
Performance evaluation criteria:
The maximum drawing load attained
Maximum applicable Blank Holder Force (BHF) without failure of the cup
Measurement of draw-in length, Ld, or perimeter of flange in a drawn cup
Evaluation of lubricant build-up on the die for dry film lubricant
Center for Precision Forming (CPF) 16
17. Test to evaluate lubricants for stamping CPF
The deep drawing test
Lubricants are ranked based on the highest constant BHF that can be applied in
deep drawing before the cup fails.
BHF = 50 tons
Test speed = 65 mm/sec
Load-stroke curves of formed vs. fractured cups
Center for Precision Forming (CPF) 17
18. Test to evaluate lubricants for stamping CPF
The deep drawing test
Comparison of draw-in length for various lubricants
Center for Precision Forming (CPF) 18
19. Case studies in process simulation CPF
Multi-point Cushion systems (MPC)
Current trends to control material flow in stamping
Draw beads mainly control material flow, Blank Holder Force (BHF) avoids lift of blank
holder/binder
Constant BHF applied throughout press stroke, at all locations of the blank
holder/binder using:
• Nitrogen cylinders in the dies
• Presses with hydraulic and pneumatic cushions
Requirements for robust quality stamping/sheet hydroforming
Variation of BHF with stroke Springback control
Variation of BHF at different locations within blank holder/binder Enhance
drawability
Variation stroke to stroke, coil to coil Allow variability in sheet material
properties, thickness, lubrication and others.
Center for Precision Forming (CPF) 19
20. Case studies in process simulation CPF
Multi-point Cushion systems (MPC)
Developments in BHF application technology
• Each cushion pin is individually controlled (hydraulic/ nitrogen gas /servo control).
• Offers a high degree of flexibility
Die
Blank holder /
Binder
Location of cushion pins/
Individual cylinders in the die
cylinders for
(Source: Müller Weingarten) each cushion pin
Center for Precision Forming (CPF) 20
21. Case studies in process simulation CPF
Multi-point Cushion systems (MPC)
Possible variations in BHF application
• Constant in location, Constant with stroke: Current practice
• Each cushion pin applies same force that is kept constant in stroke
• Single point cushion system, nitrogen cylinders or hydraulic cylinders
• Constant in location, variable with stroke
• Each cushion pin applies same force that is varied in stroke (hydraulic)
• Single point hydraulic cushion system
• Variable in location, constant with stroke
• Each cushion pin applies different force that is kept constant in stroke
• Multipoint control hydraulic cushion system, nitrogen cylinders
• Variable in location, variable with stroke
• Each cushion pin applies different force that is varied in stroke(hydraulic)
• Multipoint control hydraulic cushion system
Center for Precision Forming (CPF) 21
22. Case studies in process simulation CPF
Multi-point Cushion systems (MPC)
Nitrogen gas spring systems
Nitrogen pressure
control panel
Top view of a two Top view of a three
pressure-zone Individual cylinders for pressure-zone
configuration each cushion pin configuration
(Source: HYSON, “Nitro-dyne”)
Center for Precision Forming (CPF) 22
23. Case studies in process simulation CPF
Multi-point Cushion systems (MPC)
Hydraulic systems
IFU flexible Blank holder / Binder
hydraulic control unit
(Source: IFU, Stuttgart) Erie binder unit (hydraulic system)
with liftgate tooling inside press
(Source: USCAR)
Center for Precision Forming (CPF) 23
24. Case studies in process simulation CPF
Multi-point Cushion systems (MPC)
Application of MPC die cushion technology in stamping
Sample cushion pin configuration (hydraulic MPC unit) for drawing stainless steel
double sink.
(Source: Dieffenbacher, Germany)
MPC is routinely used in deep drawing of stainless steel sinks
Center for Precision Forming (CPF) 24
25. Case studies in process simulation CPF
Multi-point Cushion systems (MPC)
Previous work at CPF in
Blank Holder/Binder Force (BHF) determination
• CPF in cooperation with USCAR consortium developed software to program MPC
die cushion system in stamping.
Methodology for BHF determination
(Numerical optimization techniques coupled with FEA)
Inputs required
BHF at each
• Quality control parameters Software developed at cushion pin as
(wrinkling, thinning) CPF for BHF function of punch
• No. of cushion cylinders (n) determination stroke
• Tool geometry (CAD)
FEA Software
• Material properties
• Process conditions (PAM-STAMP, LS-DYNA)
Center for Precision Forming (CPF) 25
26. Case studies in process simulation CPF
Multi-point Cushion systems (MPC)
FE model
Die Estimation of Blank Holder Force (BHF)
varying in each cushion pin & constant
in stroke, using FE simulation coupled
with numerical optimization, developed
at CPF.
Sheet
Geometry : Lift gate inner
Material : Aluminum alloy, AA6111-T4
Beads
Initial sheet thickness : 1 mm
Inner Segmented blank holder
Binder [Source: USCAR / CPF - OSU]
Cushion Pin Outer
Binder
Punch
Center for Precision Forming (CPF) 26
27. Case studies in process simulation CPF
Multi-point Cushion systems (MPC)
BHF predicted by FE simulation in individual
cushion pins for forming Aluminum alloy
(A6111-T4, sheet thickness = 1 mm)
120 11
10 9 8
Blank holder force (kN)
100 13
80 15 7
60 6
40 14 12 5
2 4
20 Pin 1 3
0
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Pin numbers
Pin locations and
numbering
Center for Precision Forming (CPF) 27
28. Case studies in process simulation CPF
Multi-point Cushion systems (MPC)
Experimental validation of BHF prediction by FE simulation
Bake Hardened steel
(BH210, t = 0.8 mm)
No wrinkles, no tears
Aluminum alloy Dual Phase steel
(A6111 – T4, t = 1 mm) (DP600, t = 0.8 mm)
Minor wrinkles, no tears No wrinkles, no tears
Using a hydraulic MPC system installed in mechanical press, the auto-panel was
formed successfully - with three different materials/sheet thicknesses in the same die -
by only modifying BHF in individual cushion pins.
Center for Precision Forming (CPF) 28
29. Case studies in process simulation CPF
Multi-point Cushion systems (MPC)
Ongoing work
Sheet Hydroforming with Die Stamping
(SHF-D) process
In cooperation with
In cooperation with IUL, Dortmund IWU Fraunhofer Institute, Chemnitz
Punch
Die
Segmented
elastic blank
holder with
multipoint Blank
cushion
system Cushion
Blank pins
Die
holder
Center for Precision Forming (CPF) 29
30. Case studies in process simulation CPF
Multi-point Cushion systems (MPC)
Potential future work in BHF estimation for MPC systems
Even with predicted optimum BHF, there can be inconsistency in metal flow in
production. This inconsistency can be attributed to the variations in:
sheet material property (variations in incoming coil/different supplier) &
process conditions such as lubricant behavior (smearing), tool temperatures, etc.
A methodology is needed to modify/adjust the BHF (by modifying nitrogen
gas/hydraulic pressure) in individual cushion pins during production, such that the
obtained draw-in (flange outline) matches the draw-in (flange outline) for a good part.
Center for Precision Forming (CPF) 30
31. Case studies in process simulation CPF
Multi-point Cushion systems (MPC)
Potential future work in BHF estimation for MPC systems
Schematic shows mismatched draw-in (flange outlines) seen in top view for a sample
part.
An „imaging system‟ could be used as feedback to obtain and compare flange outlines.
Center for Precision Forming (CPF) 31
32. Case studies in process simulation CPF
Warm forming of Al alloys, Mg alloys
and High Strength Steels (HSS)
Challenges in process simulation
Lack of reliable input data for FE simulation
• Flow stress of sheet material at relevant strain, strain rate and temperature
• Thermal properties of sheet material at different temperature
• Interface friction coefficient at higher temperature between dissimilar metals in
contact
• Interface heat transfer coefficient between dissimilar metals in contact
Lack of knowledge on the yield surface to describe yielding behavior of metals at
elevated temperature in FE codes.
Lack of knowledge on the strain softening behavior exhibited by metals at
elevated temperature to consider in FE simulation.
Center for Precision Forming (CPF) 32
33. Case studies in process simulation CPF
Warm forming of Al alloys, Mg alloys and
stainless steels
Elevated temperature formability study:
Schematic of warm forming tooling at AIDA America, Dayton
Punch
Die Ring
Die Holder Blank Holder
Cartridge Heaters Cartridge Heaters
Upper Tool
Lower Tool
Cooled
Heated tool
punch
Stage 1 Stage 2 Stage 3
Center for Precision Forming (CPF) 33
34. Case studies in process simulation CPF
Warm forming of Al alloys, Mg alloys
and stainless steels
Elevated temperature formability study:
Servo Press at AIDA America, Dayton
Power Source Balancer tank Main gear
Capacitor
Servomotor
Drive Shaft
Center for Precision Forming (CPF) 34
35. Case studies in process simulation CPF
Warm forming of Al alloys, Mg alloys
and stainless steels
Results of elevated temperature formability study
3
Limiting Drawing Ratio (LDR)
• Material Al5754-O,
2.9
t = 1.3 mm
2.8 • Forming velocity = 5mm/sec
2.7 • Influence of temperature on the
deep drawability of round cups
2.6 (Ø 40 mm) was investigated.
2.5
• Similar studies were conducted
2.4 for higher forming velocities of
250 275 300 15 mm/sec and 50 mm/sec.
Die and Blank holder temperature (deg C)
[In cooperation with AIDA America, Dayton]
Center for Precision Forming (CPF) 35
36. CPF
Process Modeling Applications
-Progressive Die Design-
A process sequence was designed for the part shown. The existing design
was improved through FE simulation to reduce the potential for failure in the
formed part (excessive thinning and wrinkling).
Center for Precision Forming (CPF) 36
37. CPF
Process Modeling Applications
-Incremental Forming-
Orbital Forming of Wheel Bearing Assembly: .
Determine the influence of various process parameters such as axial feed, tool
axis angle, etc., on the residual stress in the bearing inner race of the assembly,
deformed geometry of the spindle, and the axial load that the assembly can
withstand
Tool
Inner race
Spindle
Initial stage Final stage
Center for Precision Forming (CPF) 37
38. CPF
Process Modeling Applications
-Microforming of Medical Devices-
Microforming of a Surgical Blade:
•Using FEA with die stress analysis, the flash thickness was reduced such that
grinding of flash was replaced by electro-chemical machining (ECM).
•The designed tool geometry was successfully used in production to coin this
part.
Initial blank Formed part
(Blank thickness = 0.1 mm; Final blade thickness = 0.01 mm)
Center for Precision Forming (CPF) 38
39. Process Modeling Applications CPF
-Material Yield Improvement in Hot Forging-
Hot Forging of Suspension Components:
• A study was conducted for a tier one aluminum forging supplier to optimize
the preform and die (blocker and finisher) designs, forging temperatures as
well as flash dimensions.
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Process Modeling Applications
-Material Yield Improvement in Hot Forging-
Material yield was increased by ≈15% through preform optimization, with
an additional 3-4 % improvement through
blocker die design.
Original Finisher Forging Final Forging with Reduced Flash
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Summary
Process simulation using FEA is state of the art for die/process design.
Determination of reliable input parameters [material properties /interface friction
conditions] is a key element in successful application of process simulation.
For practical application, stamping lubricants should be evaluated in the
laboratory under near-production conditions (speed, temperature, interface
pressure). Reliable friction coefficient values needed for process simulation can
be obtained from these laboratory tests.
Multi-point control (MPC) die-cushion systems offer high flexibility in process
control, resulting in considerable improvement in formability. MPC systems
demonstrate good potential in forming light weight/high strength materials.
Reliable flow stress data at elevated temperature is required as an input for
accurate FE simulation of the warm forming process. Considerable research on
warm forming process and its application to production is in progress.
Intelligent use of process modeling saves time & costs and increases precision of
formed parts.
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Questions / Comments
Contact information:
Taylan Altan, Professor and Director
Center for Precision Forming - CPF
(formerly, Engineering Research Center for Net Shape Manufacturing – ERC/NSM)
www.cpforming.org / www.ercnsm.org
The Ohio State University, Columbus, Ohio USA
Email: altan.1@osu.edu, Ph: + 1-614-292-5063
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