Material Calibration Engineer role (MAS) | Recent enhancements

About the role

The Material Calibration Engineer role provides:

  • Calibration of advanced material models from physical or virtual test data to enable high fidelity simulation
  • Support for a broad range of materials including metals, polymers and composites
  • An intuitive user experience that is accessible to non-experts
  • Built-in optimization algorithms to ensure accurate representation of test data
  • The ability to share calibrated material models across the enterprise

R2025x FD01

Functional Value

  • Create high fidelity FE representations of paperboard structures with the new Paperboard material options

Create high fidelity FE representations of paperboard structures with the new Paperboard material options

 

R2025x GA

Functional Value

  • Significantly decrease calibration time for complex material models using a new AI/ML surrogate model capability in the Material Calibration app

  • Quickly and efficiently find the best possible set of design parameters for time-consuming objective functions with the new Bayesian optimization framework

Significantly decrease calibration time for complex material models using a new AI/ML surrogate model capability in the Material Calibration app

 

Quickly and efficiently find the best possible set of design parameters for time-consuming objective functions with the new Bayesian optimization framework

 

R2024x FD01

Functional Value

  • Extend the scope of material calibration applicability by averaging multiple test data sets into a new dataset
  • Define advanced nonlinear structural simulations effectively and efficiently with new material models, such as Cap Plasticity, Cap Creep plasticity, and LaRCO5
  • Calibrate the response of anisotropic hyperelastic materials using the Holzapfel-Ogden and Kaliske-Schmidt strain energy potentials

User Experience Value

  • Easily calibrate complex material models of additional materials with added support for deactivating/reactivating test data sets to be used
  • Include parameter constraints & relationships between the material parameters to ensure the fit meets user defined criteria
  • Simplify and accelerate finding Material Calibration simulations with the support for 6W tags
Averaging multiple data sets of the same deformation mode provides a more representative sample and reduces the effect of individual outliers; Deactivating test data sets provides more control over the calibration results and saves you time

 

Increase fidelity of advanced nonlinear structural simulations through new material calibration models, such as Cap Plasticity, Cap Creep plasticity and LaRCO5

 

R2023 FD01 

Functional Value

  • Define advanced nonlinear structural simulations effectively and efficiently with the added support for calibration of cohesive traction-separation laws
  • Easily calibrate complex damage and plasticity models of additional materials, including concrete damaged plasticity

User Experience Value

  • Compare multiple material calibrations quickly and easily to determine the best fit with the new calibration comparison tool

Compare multiple material calibrations quickly and easily to determine the best fit with the new calibration comparison tool

Easily calibrate complex damage and plasticity models of additional materials, including concrete damaged plasticity

 

R2022x FD01

Functional Value

  • Orthotropic and anisotropic elasticity
  • Superelasticity
  • FE-based calibration with composite sections

User Experience Value

  • Duplicate plot command
  • User-defined range for x-y plots
  • Performance control for large data sets

Regularize tool demonstrating local minima/maxima declared as critical points.

Plot settings dialog demonstrating the new range functionality.

Test data chart demonstrating the new capability to export a chart to a graphics file.

 

R2021x FD05 

Functional Value

  • *Calibration of Mean Field Homogenization method enables structural simulation of injection molded plastic components.

Finite element model based calibration

Finite element model based calibration