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Next level in material modeling and simulation
Using Industrial Computed Tomography
Improve your simulation workflow using Computed Tomography data
In the course of digitalization, simulation is taking on an increasingly important role in component development. Some development steps in the area of physical tests can be replaced or supplemented by their virtual counterpart. Simulations help to reduce costs, increase safety or shorten the development process. But the quality of a simulation depends strongly on the material data used.
DIGIMAT makes it possible to model complex material behavior. By using CT analyses, non-destructive insights into the internal structure of components can be gained. Only when both technologies are combined can the simulation reach its full potential. By comparing simulation and real data, simulation workflows can be validated and optimized, or defects from the real parts can be considered in further simulation steps.
Improve simulation accuracy (by using real-world fiber orientation)
In some cases the predicted fiber orientation from process simulation is different to the orientation within the real components. Using CT data this deviation can be identified and corrected in order to have valid assumptions for further simulation steps like in FEA (Finite Element Analyzes) and also to improve the accuracy of the predicted fiber orientation from process simulation.
Quantify the effect of defects in your component
Take into account additional information in your simulation like position and amount of defects by using the modules Volume Mesh and Porosity Inclusion Analysis.
Micro structure
modeling
Use CT data to calibrate your Digimat-MF material models for fiber compounds.
Virtual material testing/engineering (RVE)
By the use of Digital Volume Correlation in-situ tensile tests can be performed to determine the 3D displacement and strain fields inside the probe. This data can be used to generate a digital twin and reduce the physical testing effort.
Fiber Composite
Material Analysis
Analyze your Composite Material, be it short, long or endlessfiber reinforced plastic in regards of fiber orientation, fiber volume fraction or other.
Defect Assessment
Related Products
Additional Information
- Webinar "Quality Inspection for Additive Manufacturing—from Powder to Part"
- Webinar "Dimensional Characterization of Lattice Structures"
- Webinar "CT and Complex Designs in AM – How to Get These Designs?"
- Webinar "Combination of Melt Pool and CT Data in Additive Manufacturing"
- Webinar "Speed up Your Process Parameter Development with Computed Tomography"
- Webinar "Simulation of AM – Virtually Optimize Quality, Time, and Costs"
- Brochure "Quality Control in Additive Manufacturing with Volume Graphics Software" — English
- Review: Volume Graphics VGStudio Max (DEVELOP3D)
- Sintavia uses QM Meltpool to Ensure Part Quality in Metal AM (Concept Laser / Sintavia)
- Assessing Additive Manufacturing Processes with X-ray CT Metrology (ResearchGate)
- Verifying Structural Integrity of Metal 3D-Printed Parts (Additive Manufacturing)
- Characterisation of powder-filled defects in additive manufactured surfaces using X-ray CT (Technical Paper, iCT 2018)
- X-ray CT Inspection for Medical Implants (Metrology.news)
- Analyzing Additive Manufacturing with CT (Video, rapid + tct 2019)
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