Increase production yield for 3D printed metal parts

Sigma Labs, Inc., a provider of quality assurance software under the PrintRite3D brand, will launch the newest configuration of its PrintRite3D product—incorporating PrintRite3D SENSORPAK 4.0 hardware and PrintRite3D INSPECT 4.0 software—at Formnext 2018, the leading trade fair for Additive Manufacturing, in Frankfurt, Germany on November 13-16.

“Our latest PrintRite3D is designed to increase production yield of 3D metal manufactured parts and to shorten time to market, removing a major hurdle that has been affecting manufacturers,” said John Rice, CEO of Sigma Labs. “We believe our IPQA technology is transformational and our team looks forward to demonstrating at Formnext how Sigma Labs is bringing the industry from prototype to industrialized manufacturing.”

These new hardware and software features are among those that will be highlighted at the conference:
The PrintRite3D SENSORPAK 4.0 hardware:
–No sensors within the build chamber; all sensors are now coaxial to the laser optics, eliminating any concerns over gas flow disruptions or space limitations inside the build chamber.
–New client-server architecture enabling multiple machines to be connected to the system as clients; one server can run multiple machines.
–Upgraded data acquisition and data processing hardware providing faster processing of data; results are now displayed in real-time during the build.
–Smaller footprint with zero floor space requirement.

The PrintRite3D INSPECT 4.0 software:
–Melt pool spectral data evaluation capability. Sigma Labs has developed a physics-based methodology for characterizing and analyzing spectral data and optimizing optics hardware and sensors to monitor spectral regions of interest and validate thermal signatures of interest.
–New features allowing the measurement and reporting of melt pool relative temperature as well as Thermal Energy Planck (TEP) in-process quality metric used for thermal signature identification.
–New benefit to customers seeking to identify thermal signatures of process anomalies and their coordinate locations.

Sigma Labs
www.sigmalabsinc.com