Researchers at Penn State have successfully 3D bioprinted breast cancer tumours and treated them in a new study to better understand the disease that is one of the biggest killers worldwide. Penn State says that this is a scientific first.
On October 12, representatives from companies Linde, Audi, EOS, GE, MTU Aero Engines, Oerlikon, Siemens, and the Technical University of Munich (TUM) signed a Memorandum of Understanding with the aim of founding the “Bavarian AM Cluster".
Researchers at Washington State University mixed a small amount of simulated crushed Martian rock mixed with a titanium alloy, which created a strong high-performance material. The team says the 3D printing process could one day be used on Mars.
Researchers from the Hebrew University of Jerusalem have been presenting results of a new 3D printable wood ink from August 21 to 25 at the American Chemical Society (ACS) Fall 2022 event. The material is printed flat, then can self-morph.
There are 17 deaths daily in the United States of people waiting for an organ transplant. As well as this, a person is added to the waiting list every nine minutes, according to the Health Resources and Services Administration.
Photos of melting polar landscapes, lush tropics reduced to charred wastelands and desiccated coral reefs are seen often on news channels in the current day and age. Here's how 3D printing could help.
MIT researchers have developed a method for 3D printing materials with tunable mechanical properties, that sense how they are moving and interacting with the environment.
Researchers at Purdue University are using additively manufactured injector components, produced with Velo3D Sapphire printers, to create Mach 6 conditions for a ground-testing facility.
A team of researchers from UMass Amherst and Georgia Tech have 3D printed a dual-phase, nanostructured high-entropy alloy that they say exceeds the strength and ducility of other state-of-the-art additively manufactured materials.
Scientists at the MIT have developed a new machine-learning system that uses computer vision to watch the manufacturing process and then correct errors in how it handles the material in real time.
