Fraunhofer Additive Manufacturing Alliance

Fraunhofer Additive Manufacturing Alliance

The Fraunhofer Additive Manufacturing Alliance integrates fifteen Fraunhofer Institutes throughout , which addresses the issue of additive manufacturing and thus covers the entire process chain. This includes the development, application and implementation of additive manufacturing methods and processes as well as related materials .

News

Rapid.Tech 2016 in Erfurt

Please visit Fraunhofer at Rapid.Tech trade fair and user’s conference for Rapid Technology in Erfurt, Germany on June 14 and 16, 2016.

Please get informed at the Alliance’s trade fair booth 2-511 about applied research at Fraunhofer in the field of additive manufacturing.

 

NEWS 1.16

Please find the Newsletter of the Fraunhofer Additive Manufacturing alliance here

DDMC 2016 – a resounding success!

From March 16 - 17 2016 the 3rd Fraunhofer Direct Digital Manufacturing Conference (DDMC) took place in Berlin. With 6 keynotes, 54 presentations in 16 sessions and 12 posters, DDMC 2016 was a truly immersive experience for the well over 150 conference delegates participating. 

We were particularly pleased by the variety of conference participants. Attendees from 20 different countries and from both industry and academia took full advantage of the conference’s networking opportunities, on the conference floor as well as at the social events. In terms of the latter, the conference dinner on Wednesday evening was a particular highlight. The bygone splendor of the mirror hall in Clärchens Ballhaus will certainly be remembered by all, and who ever knew you could fit so many people at one table?

Our congratulations go to the winners of the Best Paper Award (Chris Bailey, Stoyan Stoyanov, Tim Tilford and Georgios Tourloukis from the University of Greenwich (UK) for their paper on “Modelling Methodologies for Quality Assessment of 3D Inkjet Printed Electronic Products”) and Best Poster Award (Łukasz Żrodowski, Bartłomiej Wysocki et al  from the Warsaw University of Technology (Poland) for their work on “The Novel Scanning Strategy For Fabrication Metallic Glasses By Selective Laser Melting”) – well done, everybody!

Last, we would like to thank all keynote speakers, presenters, session chairs, committee members and our organizing team for the part they played in this truly memorable event. 

Save the date for DDMC 2018 – March 14-15, 2018!

 

Pushing the Limits of 3D Color Printing: Error Diffusion with Translucent Materials

Accurate color reproduction is important in many applications of 3D printing, from design prototypes to 3D color copies or portraits. Although full color is available via other technologies, multi-jet printers have greater potential for graphical 3D printing, in terms of reproducing complex appearance properties. However, to date these printers cannot produce full color, and doing so poses substantial technical challenges, from the shear amount of data to the translucency of the available color materials. In this paper, we propose an error diffusion halftoning approach to achieve full color with multi-jet printers, which operates on multiple isosurfaces or layers within the object. We propose a novel traversal algorithm for voxel surfaces, which allows the transfer of existing error diffusion algorithms from 3D printing. The resulting prints show tremendous detail and realism.

A one-two-three win for young researchers

Energy-efficient heat exchangers and resource-efficient electron beam melting: in 2015, for the ninth time, the STUDENT DESIGN & ENGINEERING AWARD for Rapid Manufacturing offered creative minds the opportunity to take their innovative ideas from design to production. In light of current events, the central theme this year was "Energy".
All three winners are students from the member institutes of the Fraunhofer Additive Manufacturing Alliance - a network of 13 Fraunhofer institutes who carry out research in the field of additive manufacturing. The young scientists were able to convince the international jury with their design concepts for optimum energy use.

  

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