Abdul Trial Page

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Contents

Key Contacts

  • M.F. Horstemeyer (MsSt)
  • P. Wang (MsSt)
  • E. Marin (MsSt)
  • H. El Kadiri (MsSt)
  • J. Alison (U. of Michigan)
  • M. Li (Ford)
  • A. Luo (GM)
  • W. Misolek (Lehigh U.)

Material Data

AM30

AM30 stress-strain curves are shown below:

Experimental and predicted Stress-Strain curves for AM30

AZ61

AZ61 stress-strain curves are shown below:

Experimental and predicted AZ61 Stress-Strain curves at varying strain rate and temperature. Experimental data obtained from Slooff et al. Predictions are based on in-house MATLAB routine for fitting constants to Sine Hyperbolic Inverse material model which is most commonly used in metal forming simulation.

The above stress-strain data would be analyzed to form Hyperbolic Sine Material Model in Section B.

LAB-scale Extrusion

Plant-scale Extrusion

Material Model

Cyberinfrastructure Needs

  unspecified


Expected inputs

A. Experimental effort at coupon level

  • Microstructure Images of AM30 and AZ61 pre-extruded billets
 <<< Data here >>>
  • Material database for Mg alloys: AZ61, AM30
 <<< Data here >>>


  • AZ61 stress-strain curves are shown below:
Experimental and predicted AZ61 Stress-Strain curves at varying strain rate and temperature. Experimental data obtained from Slooff et al. Predictions are based on in-house MATLAB routine for fitting constants to Sine Hyperbolic Inverse material model which is most commonly used in metal forming simulation.

The above stress-strain data would be analyzed to form Hyperbolic Sine Material Model in Section B.

  • Texture and twinning data:
 <<< Data here >>>
 Stress-strain curves along extrusion and radial direction and corresponding EBSD results, to be used for VPSC models. 
  • Lab-scale Extrusion

A laboratory-scale extrusion capability was developed at the Center for Advanced Vehicular Systems (Ms State U) to extrude billets of upto 1.5" length and 1.25" diameter using various die configurations ranging from simple circular solid profile to hollow pipe profile. An existing Instron 8850 test center was adapted for this purpose. Load at billet-die interface was recorded by a load cell while temperature on tooling components was measured by 4 K-type thermocouples - two each on sleeve and die.

A schematic of the fixture is shown below.

Schematic of the laboratory-scale extrusion fixture

Die geometries

Flat die
Conical die


Test matrix for AZ61 and AM30 billets was as follows:

Test Matrix for AZ61 billets
Test Name AZ61 Billet
Configuration
Extrusion
Ratio
Billet
Temperature (deg. C)
Ram
Velocity (mm/min.)
Die
Type
Bearing
diameter (inches)
Test 1 Cylindrical 6.25 460 5 Conical 0.5
Test 2 Cylindrical
with pocket
6.25 460 5 Conical 0.5


Test Matrix for AM30 billets
Test Name Extrusion Ratio Billet
Temperature (deg. C)
Ram
Velocity (mm/min.)
Die Type Bearing
diameter (inches)
AM30_Test-1 25 455 5 Flat die 0.25
AM30_Test-2 25 455 10 Flat die 0.25
AM30_Test-3 25 455 15 Flat die 0.25
AM30_Test-4 25 455 20 Flat die 0.25
AM30_Test-5 25 455 30 Flat die 0.25


Experiment results

Experimental load and temperature history obtained from AZ61 extrusion experiments


Experimental load and temperature history obtained from AM30 extrusion experiments
  • Plant-scale Extrusion (Timminco)
Timminco's porthole die
CAD images of Timminco's porthole die
Meshed model of Timminco die

B. Material Modeling Efforts at coupon level

 Constitutive ISV framework for plasticity (modeling  group at CAVS).


1. Hyperbolic Sine Material Model of AZ61:
Sine Hyperbolic Inverse law is among the material models implemented in HyperXtrude solver. It predicts a constant/ steady-state flow stress for various strain rates and temperature. Unless modified, this model does not account for strain-dependence and hence cannot predict stress softening. This law, by far, is the most widely used [McQueen et al] to describe thermo-viscoplastic behavior of metals during hot deformation and is written as follows:

Sine hyperbolic inverse material model
Parameters in sine hyperbolic inverse material model

[H. J. McQueen, N. D. Ryan, Constitutive analysis in hot working, Materials Science and Engineering A, Volume 322, Issues 1-2, 15 January 2002, Pages 43-63]

List of parameters:


For AZ61
For AM30

2. One State Variable Material Model of AZ61:


3. VPSC Model at Crystal Level


C. Modeling Methodology

1. ABAQUS FEM

2. HyperXtrude FEM
HyperXtrude is a commercial extrusion-dedicated simulation software developed by Altair Inc. to investigate die design and material flow in the extrusion process of metals and polymers. The purpose of this tool is to enable die designers and production engineers to accurately model the thermo-mechanical behavior of the billet material and thus validate die designs in early stages with the intention of reducing and/or eliminating costly die trials. Die trial is a prevalent practice in the industry which is marked by expensive time-consuming die iterations aimed at producing balanced material flow with minimum profile distortion.
HyperXtrude is a finite-element based code designed to model/simulate the non-isothermal material flow during metal extrusion. The code uses an Eulerian formulation of the fundamental differential equations that govern flow and heat transfer of non-Newtonian incompressible viscous fluids. As such, the code uses a fixed-space control volume representation of the problem domain through which the material flows as it is extruded through the tooling. Hence, the code does not capture the transient aspects (load and temperature) of the process as the material fills the die (pocket and bearing area). In this respect, HyperXtrude users need to set-up their simulation model to include the extended flow domain to represent the bearing area and profile. The problem setup procedure in HyperXtrude is illustrated below.

Problem setup methodology in HyperXtrude

3. FEMs+VPSC


D. Validation

1. Extrusion Modeling to Validate Lab-Scale Extrusion
The figure below shows the 3-D model of flat-die experiments. The model consists of sleeve, die, billet, bearing and profile. For the purposes of saving simulation time and taking advantage of symmetry, a half model was simulated rather that a full 360-degree model. Nevertheless, for the sake of completeness, the results of both of these models were compared later; less than 1% difference in results was found with identical mesh size in both cases.

Model for Flat die
Model for conical die


Process conditions are the initial conditions that are used in the computation and they were set corresponding to the experiments. The ram acceleration time in the simulation was set to the time that roughly corresponds to breakthrough load. Tooling and billet temperatures are specified along with butt length and ram velocity. In order to account for internal heat generation in the code, it is assumed that 90% of the work is converted into heat.

2. Validate load-displacement-temperature responses
The results of the simulation model were compared to experimental data. The correlation obtained is presented below. Note that TC1, TC2, TC3 and TC4 in the temperature plots refer to location of thermocouples in the experiments. One of the challenges was the determination of convection coefficients at the tool-work piece interfaces and determination of the right friction coefficient in bearing region. Friction is generally fine-tuned [Tekkaya et al] by “what-works-best” approach. Convection coefficient were zeroed on by following a ‘6-Step’ procedure developed during the course of the research.
[A.E. Tekkaya, P.A.F. Martins,(2009), Accuracy, reliability and validity of finite element analysis in metal forming: a user's perspective, Engineering Computations, Vol. 26 Iss: 8, pp.1026 – 1055]

AZ61 conical die validation - Without strain- dependence/softening
AZ61 conical die validation - With strain-dependence/softening


As seen above on the figure to the right, modification of the sine hyperbolic model enables the process model to capture the characteristic stress softening response owing to dynamic recrystallization in magnesium alloys.

AM30 test-1 validation
AM30 test-2 validation


3. Streamline Prediction

Streamlines for flat die and conical die simulation

4. Validate texture and twinning responses

Expected outputs

  • Database for texture and microstructure evolution of AM30 and AZ61
  • VPSC Model parameters (Voce and dislocation based hardening laws) for AM30 and AZ61 at different temperatures and strain rates
  • Fitting routine for ISV material model and VPSC GUI.
  • User material routine for material models (ISV and Barnett’s models).
  • FE models of extrusion process (lab-scale and Timminco’s) predicting flow stress, strain, strain rates and temperatures.

More specific task outputs:

  • Characterization of texture and microstructure of AM30 and AZ61 alloy based pre-extruded billets and rail components.
  • Prediction of texture and microstructure of Extruded AM30 and AZ61 Alloys.
  • Calibrated material model (ISV and Barnett’s) and corresponding numerical implementation into FE codes.
  • Validated crystal plasticity modeling tools (VPSC) to be coupled with the FE-based HyperXtrude model.
  • FE models of the extrusion process (Deform3D and HyperXtrude) predicting flow stress, strain, strain rate and temperature distributions.

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