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Generative construction based on variable design specifications

Generative construction based on variable design specifications

Our AI solution automates generative design and delivers flexible, strength-optimized design alternatives in the shortest possible time.

Cases

What we do

The development of strength-optimized geometries is time-consuming and resource-intensive. Our AI solution automates this process and generates design alternatives in the shortest possible time that react flexibly to variable specifications such as loads, material properties or manufacturing technologies - even in the early stages of product development.

01

The advantages

  • Time saving: Automatic geometry generation replaces manual iterations.
  • Error reduction: Precise adaptation to specifications minimizes design errors.
  • Seamless integration: Easy connection to CAD and simulation systems.
  • Flexibility: Suitable for a wide range of industries and optimization targets.

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The technology behind it

Our solution is based on state-of-the-art FEM simulation and AI technology:

  • Neural networks: Trained on a variety of topology-optimized geometries to quickly generate optimal design solutions.
  • Machine Learning (ML): Continuous learning from existing and new data for precise adaptation to specific requirements.
  • Automated interfaces: Direct integration into existing tools such as CAD software and FEM simulation tools for seamless workflows.
Generative Design

An example from practice

An automotive manufacturer develops a steering assembly with the highest demands on stress and lightweight construction. Our AI solution accelerates this process:

  • The AI generates design alternatives in real time based on variable specifications such as design parameters, load variables and material properties.
  • Adjustments, e.g. for new load-bearing or torque transmission requirements, are taken into account directly
  • The optimized geometries are seamlessly integrated into the CAD system so that they are immediately available for further simulations and production planning.

The result: the manufacturer saves development time and reduces errors, while all requirements for resilience, functionality and manufacturability are met

Conclusion

With our AI-supported solution for generative design, you can automate geometry creation, increase efficiency and improve design quality - flexibly adaptable to your requirements and technologies. Use the possibilities of AI to make your development processes future-proof and competitive.

Curious about what we can do for you?

We look forward to hearing from you!

Use the form, send us an e-mail or call us directly to get in touch with our team.