28. Mai – 02. Juni 2017, Dagstuhl-Seminar 17221

Geometric Modelling, Interoperability and New Challenges


Falai Chen (Univ. of Science & Technology of China – Anhui, CN)
Tor Dokken (SINTEF – Oslo, NO)
Thomas A. Grandine (The Boeing Company – Seattle, US)
Géraldine Morin (University of Toulouse, FR)

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Dagstuhl Report, Volume 7, Issue 5 Dagstuhl Report
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This report documents the program and the outcomes of Dagstuhl Seminar 17221 "Geometric Modelling, Interoperability and New Challenges".

The importance of accurate geometric models of shapes, both naturally occurring and man-made, is rapidly growing with the maturing of novel manufacturing technologies and novel analysis technologies. The advent of big data challenges and cloud-based computing serves to confound the distribution and remote access of these geometric models. While previous Dagstuhl seminars on geometric modeling were focused on basic research, this seminar was focused on applications of geometric modeling. We selected four core application areas that stretch the underlying mathematical underpinnings of the discipline to its limits and beyond:

  • Big data and Cloud computing
  • Multi-material additive manufacturing (3D Printing)
  • Isogeometric analysis
  • Design optimization

The seminar provided a forum for leading researchers to present new ideas, to exchange scientific insights, and to bring together practical applications and basic research. The previous seminar explored the theory of shape representations, shape transformations, and computational models for each. This seminar explored application of this theory to the four above-mentioned application challenges, strengthening the reliability and performance of applications in engineering, manufacturing, and scientific exploration. The goal of the seminar was to establish a common understanding between the Geometric Modeling research community and the above application fields by addressing the following questions:

  • How to handle geometric descriptions that cannot be processed by one computer but have to be distributed among many computers in the cloud?
  • How to process huge 3D data sets that may be noisy and incomplete into clean, scalable, and easy to access 3D environments?
  • How to turn big, dispersed maybe noisy and incomplete geometric data into clean, scalable, and easy to access 3D information that can be used for change detection and decision making?
  • How to represent, control, and process complex, anisotropic, internal material enabled by additive manufacturing, and how to design for additive manufacturing?
  • How to perform topology optimization of the internal structure of objects to enable additive manufacturing to reach its full potential?
  • How to introduce analysis-based design in CAD systems with isogeometric analysis in mind?

To answer these questions we brought together participants from industry urgently in need of better solutions, researchers in the application areas represented by the four topics, and researchers in the geometric modeling community whose interests align with the four topic areas. The scientific presentations lasted 15 to 20 minutes. Senior researchers gave 4 overview talks on the 4 themes of the seminar. Perspective working groups were organized for each of the four topics.

Summary text license
  Creative Commons BY 3.0 Unported license
  Falai Chen, Tor Dokken, Thomas A. Grandine, and Géraldine Morin

Dagstuhl-Seminar Series


  • Data Structures / Algorithms / Complexity
  • Modelling / Simulation
  • Optimization / Scheduling


  • Geometric modeling
  • Shape design
  • Geometry
  • Computer graphics
  • Geometry processing
  • Isogeometric analysis
  • Additive manufacturing
  • Design optimization


In der Reihe Dagstuhl Reports werden alle Dagstuhl-Seminare und Dagstuhl-Perspektiven-Workshops dokumentiert. Die Organisatoren stellen zusammen mit dem Collector des Seminars einen Bericht zusammen, der die Beiträge der Autoren zusammenfasst und um eine Zusammenfassung ergänzt.


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