Keynote speaker at SIMS2020 – NTNU (Norway)


It’s my pleasure to announce that I’ll be doing an INVITED KEYNOTE SPEECH, entitled “Intelligent robot based additive-manufacturing systems“, at the forthcoming 3rd International Symposium on Small-Scale Intelligent Manufacturing Systems, that will take place at the Norwegian University of Science and Technology (NTNU).

The symposium is supported by several universities, research centers and other R&D institutions (including SINTEF Manufacturing, UiT- The Arctic University of Norway, SFI Manufacturing, Budapest University of Technology and Economics, IEEE, IEEE Industrial Electronics Society and The Research Council of Norway).

Intelligent robot based additive-manufacturing systems 

This talks introduces the concepts and technologies related with the design and implementation of robot-based intelligent additive-manufacturing systems, which are designed to produce metallic parts. The present systems include additive and subtractive capacities and can be used with automobile, aeronautic or metal construction industry, mostly in spare part business model.

Consequently, the talk covers aspects related with the capacity to print complex parts and correct deviations during production, the capacity to anticipate the material properties of the final part and the capacity to produce starting from a CAD project, having all the rest fully automatic. This allows users (manufacturers: automobile, aeronautic, etc.) to build complex and improved parts when they are required (spare parts, for example).

The presented systems are designed with the following objectives:
1) should be fully automatic, requiring only a few parameters from users. It should learn from experience and advise user on the best solution for his project;
2) should allow the possibility to add several AM technologies, allowing the user to extend the functionality of the system and be able to manufacture other parts;
3) should allow to design the part and start producing immediately – one button from CAD;
4) should include mixed reality to visualize production during actual printing.
Several examples will be presented.

J. Norberto Pires
Professor
Mechanical Engineering Department
Industrial Robotics Laboratory
University of Coimbra
Portugal
web: www.jnorbertopires.pt


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