3D printing scalability: more than a hardware problem (Authentise Weekly News-In-Review – #114)
One of the major hindrances to 3D printing’s expansion right now is scalability. How can a process tailored and designed for customization also be an ideal candidate for the highly systematized environment of a production facility? How can it be employed to retain its features like agility and flexibility while providing the level of performance required to make a business profitable? The answer is multifaceted, and it has to do with the technology itself as well as the infrastructure that we build around it. Researchers are working towards designing printing techniques that are both reliable and efficient at various scales, and significant strides have been made in that regard. In parallel, one must consider the surrounding pieces of this puzzle, such as an automated pipeline and a smart, data-driven decision-making platform. It just cannot work if you couple 3D printing technologies with the old way of making factories work. In many respects, we must rely on AIs and robotic systems to make informed decisions. We are already starting to make this vision come to life, with IIoT networks feeding into simulations and triggering automated processes. Authentise is the leader in data-driven automation for production scale 3D printing: we already use machine learning algorithms to drive our estimation processes and thorough automation features throughout our 3Diax platform, and are excited to show you more of what we are working on very soon!
Israeli company announces tiny triumph in micron-level 3D printing
Startup Nanofabrica (Tel Aviv) announced that it has developed an AM platform that provides an end-to-end bespoke process for manufacturers seeking micron and sub-micron levels of resolution and surface finish. Nanofabrica’s AM process is based on digital light processing (DLP), which is combined with adaptive optics to achieve repeatable micron levels of resolution. This tool in conjunction with an array of sensors allows for a closed feedback loop.
Read the full article on Plastic Today.
Scalable platform 3D prints bone
Researchers from Syracuse University have achieved significant progress towards the engineering of large-scale bone tissue scaffolds. Stephen Sawyer and colleagues have designed, built and tested a scalable platform for the structured growth of bone mineral using only a commercially available 3D printer and inexpensive materials. The design surpassed previous difficulties associated with the supply of oxygen to bone growing cells. Traditional designs relied on oxygen diffusion through the cell containing structure, which had, until now, limited the size of bone structures that could be built.
Read the rest here.
Brain code can now be copied for AI, robots, say researchers
Researchers at the Korea Advanced Institute of Science and Technology (KAIST), the University of Cambridge, Japan’s National Institute for Information and Communications Technology (NICT), and Google DeepMind have argued that our understanding of how humans make intelligent decisions has now reached a critical point. Robot intelligence can be significantly enhanced by mimicking strategies that the human brain uses when we make decisions in our everyday lives, they said.
Read the full article here.
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