Virginia Tech researchers have obtained a three-year, $3.5 million grant from the Nationwide Science Basis to develop a brand new strategy to 3D printing utilizing robotic arms. The funding comes from the NSF’s Future Manufacturing Analysis Grant program, which awarded solely seven grants whole to assist the event of recent manufacturing capabilities.


The Virginia Tech crew is working to create 3D-printed composite supplies by printing from a number of instructions slightly than conventional flat layers. In keeping with the researchers, this methodology produces supplies with curved constructions just like wooden grain patterns, which they report are almost 10 occasions stronger than standard 3D-printed supplies.
Conventional 3D printing entails laying down single supplies in flat layers utilizing a nozzle just like a sizzling glue gun. The brand new strategy combines robotic arms able to printing in a number of instructions with superior composite supplies to create elements with enhanced properties and features.
The mission entails 5 Virginia Tech school members from mechanical engineering and engineering training departments. Christopher Williams, director of Virginia Tech Made: The Heart for Superior Manufacturing, leads the trouble alongside specialists in supplies science, robotics, and design optimization.
“We have now been exploring how robotic arms may benefit 3D printing for nearly 10 years now,” stated Christopher Williams. “We discovered that to actually leverage the pliability of those robotic arms for bettering printed half power, we wanted to mix our collective data of design optimization, superior supplies, robotic controls, and additive manufacturing. Our early outcomes of placing these items collectively are actually thrilling.”
The grant consists of plans to combine the analysis into academic applications and workforce improvement. The crew will conduct Ok-12 outreach occasions and work to include manufacturing curriculum all through the Faculty of Engineering’s applications.
Supply: information.vt.edu
