Sciaky, Inc. has received a Small Business Innovation Research (SBIR) award from NASA to enhance Sciaky’s Electron Beam Additive Manufacturing (EBAM) process with new machine-learning algorithms that automatically identify and eliminate defects with titanium (Ti-6Al-4V) 3D-printed parts and structures.
The new machine-learning algorithms will utilize Sciaky’s patented Interlayer Real-time Imaging and Sensing System (IRISS) to monitor titanium deposition, identify anomalies, and fix them. These intuitive adaptive control features will help manufacturers deliver consistent results, from the first part to the last.
Sciaky’s EBAM can produce parts ranging from 8 inches (203 mm) to 19 feet (5.79 meters) in length. EBAM also has gross deposition rates up to 25 lbs. (11.34 kg) of metal per hour.
“Sciaky is proud to partner with NASA and enhance process control for titanium 3D printing,” said Scott Phillips, President and CEO of Sciaky, Inc. “This new capability will further solidify why EBAM is at the forefront of industrial additive manufacturing advancements.”
Sciaky’s EBAM industrial metal 3D printing solution has approved applications for land, sea, air, and space.
