"Deep learning makes X-ray CT inspection of 3D-printed parts faster, more accurate." ScienceDaily. ScienceDaily, 14 October 2022. <www.sciencedaily.com / releases / 2022 / 10 / 221014135712.htm>.

Engineers at the University of Maine are developing a new method to more accurately predict the strength of lightweight 3D-printed objects. This research, conducted at the university's Advanced ...

[Slant 3D] knows a lot about optimizing 3D prints so that they can be cranked out reliably with minimal need for post-processing, and in this short video he uses a cube as a simple example of how a… ...

Engineers at the University of Maine have discovered a new way to make 3D-printed parts both stronger and lighter—an ...

A licensing agreement between the Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL, Oak Ridge, Tenn., U.S.) and research partner Zeiss Industrial Quality Solutions (Oberkochen, Germany ...