Prototype car design

Turning visions into reality

A somewhat unusual project underscores the capabilities of additive manufacturing technology even beyond its classic areas of application. voxeljet technology thus "printed" a vehicle model with sensory capabilities as part of a student project. 

As part of his final project in Transportation Design at Pforzheim University, Raphael Krome tackled the pollution caused by automobiles. In his project, he wanted to visualize the abstract concept of "CO2 emissions." The end result was a vehicle named "SEE O2," which makes it possible to see the pollution caused by other vehicles on the road. To do this, the vehicle is equipped with sensors. As with air pollution caused by vehicles driving up ahead, the SEE O2 emits greater or lesser amounts of white fog, thereby indicating the ecological qualities of vehicles in front of it.

Without a physical model the project would have lost much of its impact. Dr. Ingo Ederer, CEO of voxeljet technology, therefore decided without hesitation to support the project. "Our 3D technology is just made for the objective of creating a detail-accurate vehicle model on a scale of 1:4. We also have the technical capability to produce a model with dimensions measuring 1,000 x 450 x 350 millimetres, which is after all relatively large. In any case, we were happy to support this project."

The SEE O2 was produced directly from the CAD data in voxeljet's service centre, using a layering process. At the end of roughly fourteen hours of printing time, the complete vehicle was "printed." After unpacking – a process in which excess sand is removed – Raphael Krome was able to see his project in reality for the first time. "It exceeded my expectations. Not only is the model precise and true-to-detail, it is also mechanically stable. And it gives my project a new dimension in the truest sense of the word."

Technical data

SAND MOLD
Total size 1,000 x 450 x 340 mm 
Weight 60 kg
Individual pieces1
Material Sand
Layer thickness 0.3 mm
Lead time 10 days
Build time 13 hours