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Altair Material Data Center simplifies access to material data and, when combined with Material Test Data Automation, helps reduce material testing. (Source: Altair)

16. September 2021

Altair: Material data augmentation and AI-powered prediction of material behaviour

Altair will present its design solutions for the plastics industry at Fakuma 2021, Friedrichshafen, Germany, 12 – 16 October 2021, in Hall B1, stand B1-1225. Highlights at the stand are: design-related simulation for component and tool development, integrative simulation, the Altair Material Data Center, and solutions from the Altair AI portfolio.

Topology optimisation for efficient material use and a holistic, consistent, and an open CAE environment for injection moulding and structural solvers create efficient CAE workflows. (Source: Altair)

Topology optimisation for efficient material use and a holistic, consistent, and an open CAE environment for injection moulding and structural solvers create efficient CAE workflows. (Source: Altair)

According to the company, test engineers know the situation: you have measured many curves, but the one you need is missing. This is where AI helps to fill in the data gap: AI enables better predictions from measured and simulated data, helping to save costs and efforts when matching simulation and test data.

The almost infinite variety of materials and material combinations in thermoplastics, for example, makes it impossible to test all material variants, especially when taking into account external influences such as ageing, chemical reaction, or irradiation of the material.

Efficient multi-scale material modelling enables a better prediction quality of the behaviour of reinforced plastic components. (Source: Altair)

Efficient multi-scale material modelling enables a better prediction quality of the behaviour of reinforced plastic components. (Source: Altair)

Altair's data automation and AI solution approaches:

  • increase transparency: users can instantly find existing tests performed on other machines, in other labs, or even in other regions.
  • simplify accessibility: using the existing Material Data Center, optimized for storing and accessing material data via browser/API.
  • enable better predictions: predict new materials for which there is no prior testing.


Injection moulding simulation with a scalable depth of detail for design for manufacturing of injection moulded components and consideration of manufacturing influences in the evaluation of component behaviour (Source: Altair)

Injection moulding simulation with a scalable depth of detail for design for manufacturing of injection moulded components and consideration of manufacturing influences in the evaluation of component behaviour (Source: Altair)

In addition, Altair Monarch automation templates enable the automatic collection of data from multiple sources, such as test machines, laboratories, or suppliers.

As a central database, the Material Data Center simplifies the storage of and access to material data through browser-based interfaces. This allows physical material testing to be reduced by up to 30 %, resulting in substantial cost savings through faster time to market.

www.altair.de

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