Project

CAxMan

Computer Aided Technologies for Additive Manufacturing

Computer Aided Technologies for Additive Manufacturing

  • Duration:

Project

The objectives and application areas for using computer aided technologies for additive manufacturing (CAxMan) are diverse. This project develops cloud-based toolboxes that support simulation and process planning in the area of additive manufacturing.

Through a marketplace for CAx technologies, experts defined services can be accessed and orchestrated to workflows. However, it is also possible to use predefined workflows, e.g., methods for capturing and evaluating objects in 3D, evaluate existing object models, and check them for their printability.

Ojectives

CAxMan establishes analysis-based approaches and procedures

  • To reduce material usage by 12%, and increase weight savings by introducing internal cavities and voids, whilst maintaining component properties;
  • To optimize distribution and grading of material for multi-material Additive Manufacturing processes; and
  • To facilitate the manufacture of components which are currently impossible or very difficult to produce by subtractive processes (e.g., cutting and abrasive operations);
  • To enhance analysis-based process planning for Additive Manufacturing including thermal and stress aspects, and their interoperability with the design phase;
  • To enable the compatibility of additive and subtractive processes in production in order to combine the flexibility of shape in Additive Manufacturing with the surface finish of subtractive processes.

CAxMan delivers

  • A Cloud Portal in form of a marketplace for Cloud applications and services addressing the design, analysis and production chain for Additive Manufacturing. Hence, all necessary software components to act as a Broker of such services will be developed in CAxMan.
  • An ecosystem of Open Source algorithmic toolkits for Additive Manufacturing will be established during the life time of the project. In order to enable sustainability of the marketplace after the project duration.
  • Lessons Learned and practical pattern collections of quantifiable advantages of findings with respect to interoperable model representations for the design production chain for Additive Manufacturing.
  • Proposed extension of ISO 10303 (STEP) Part 242 edition 2, and to ISO/ASTM52915.

Partners

Arctur, BOC, CIMNE, Clesgo, DFKI, Fraunhofer IGD, imati, Jotne, Missler Software, NOVATRA, SINTEF, Stam, TRIMEK, Tronrud Engineering,

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Contact Person
Simon Bergweiler

Keyfacts

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz