We’ve witnessed how the digital age is transforming the manufacturing industry and nowhere it is more apparent than in the contributions that AI is giving to the field. Advanced computing capabilities are being coupled with full-spectrum sensors and autonomous “thinking”. These systems are being developed in AM for a variety of benefits. First, they can help with in-process fault detection, constantly monitoring the printer for defects where the human eye can’t see and even adjust it to fix the problem on the spot. Bringing a trustworthy AI system in the fray opens up possibilities for decentralized manufacturing, where human skill isn’t needed to produce good quality, reliable parts. Such manufacturing units can be located anywhere, operate autonomously and even cooperate with one another to reach a certain goal. Authentise is presently using AI technologies to drive process estimates, providing an accurate, reliable window into your operations.
US Navy and Lockheed Martin Are Building AI-Driven 3D Printing Robots
A new generation of smart 3D printers is under development which will use artificial intelligence to oversee and optimize 3D printed parts. The US Navy’s Office of Naval Research (ONR), which is funding the ambitious project, has recently announced a two-year $5.8 million contract. There are four partners working on this project, led by Lockheed Martin’s Advanced Technology Centre. The collective aim is to be able to create robots that can make independent decisions on how to optimize the production of complicated 3D printed parts.
Read the rest here.
Mobile Robots Cooperate to 3D Print Large Structures
Roboticists at Nanyang Technological University in Singapore have, for the first time (as far as they know), performed “the actual printing of a single-piece concrete structure by two mobile robots operating concurrently.” The big advantage of this system is that you can use it to build structures that are more or less arbitrary in size without having to change the system all that much, since the robots themselves can define their own build volume by moving around.
Read more at IEEE Spectrum.
Kansas State University Researchers Develop AI System For 3D Printing Process Monitoring
Researchers from Kansas State University’s Department of Industrial and Manufacturing Systems Engineering (IMSE) have developed a new quality monitoring system for the 3D printing process. With integrated supervised machine learning, a camera, and image processing software, the researchers created a production quality monitoring system for assessing 3D printed parts in real-time.
Read the full article here.
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