NetworkNewsBreaks – Sigma Labs Inc. (NASDAQ: SGL
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Posted On: 12/27/2019 3:08:09 PM
NetworkNewsBreaks – Sigma Labs Inc. (NASDAQ: SGLB) Demonstrates Latest PrintRite3D(R) Version at Major Global 3D-Printing Conference
Developer of quality-assurance software for the commercial 3D-printing industry Sigma Labs Inc. (NASDAQ: SGLB) recently demonstrated the latest version of its proprietary technology PrintRite3D(R) in collaboration with Materialise NV at the Formnext 2019 conference held in Frankfurt, Germany. A recent article discussing the company reads, “At the event, Sigma Labs’ chief technology officer Darren Beckett presented on ‘The Integration of PrintRite3D Melt Pool Monitoring Software with Materialise’s Machine Control Platform (MCP) for Advanced Process Control.’ The presentation showcased version 5.2 of the software, which features several software enhancements including the automated anomaly detection with Z connectivity that identifies thermal defects, which propagate across multiple layers and enhanced data-trend analysis and customizable thresholding that enable automatic alerts. These new functionalities should further strengthen the capabilities of additive manufacturing for serial production.”
Please see full disclaimers on the NetworkNewsWire website applicable to all content provided by NNW, wherever published or re-published: http://NNW.fm/Disclaimer
Developer of quality-assurance software for the commercial 3D-printing industry Sigma Labs Inc. (NASDAQ: SGLB) recently demonstrated the latest version of its proprietary technology PrintRite3D(R) in collaboration with Materialise NV at the Formnext 2019 conference held in Frankfurt, Germany. A recent article discussing the company reads, “At the event, Sigma Labs’ chief technology officer Darren Beckett presented on ‘The Integration of PrintRite3D Melt Pool Monitoring Software with Materialise’s Machine Control Platform (MCP) for Advanced Process Control.’ The presentation showcased version 5.2 of the software, which features several software enhancements including the automated anomaly detection with Z connectivity that identifies thermal defects, which propagate across multiple layers and enhanced data-trend analysis and customizable thresholding that enable automatic alerts. These new functionalities should further strengthen the capabilities of additive manufacturing for serial production.”
Please see full disclaimers on the NetworkNewsWire website applicable to all content provided by NNW, wherever published or re-published: http://NNW.fm/Disclaimer
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