New software module by Sigma Additive Solutions enables to standardize Additive Manufacturing Machine Health Data Logs

Sigma Additive Solutions, Inc.,   a quality assurance software company, unveils a beta version of the PrintRite3D® Machine Health module.

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Designed for metal 3D printing in mind, let’s remind that PrintRite3D® is first a monitoring/quality control software solution, that provides a consistent way to monitor production real-time across 3D printers from different manufacturers. The new solution unveiled by Sigma Additive Solutions, pushes the boundaries of their flagship product and enables users to take disparate machine log files and standardize them. Built upon Sigma’s PrintRite3D monitoring and analytics technology, the company is creating a framework for connecting and standardizing distinct sensors and images into a cohesive product suite.

According to Jacob Brunsberg, Sigma’s President and Chief Executive Officer, “today, proprietary quality control approaches of various additive machine manufacturers often lead to inconsistency in quality assurance across manufacturing operations. The objective of the initial module, and all future modules, is to help drive a standards-based approach to additive manufacturing, allowing users to gain consistency across their sites and supply chains. Allowing users to take disparate machine log files and standardize them is an important first step in connecting distinct sensors and images into a cohesive product suite.”

Features of the new solution include:

• A path to scale for integrated sensor fusion of camera, thermal camera, melt pool data, and more
• Ability to link machines by API or upload all machine sensor .csv log files
• Creation of a common standards-based file format for analytics, visualization, and reporting, agnostic of machine type
• A single cohesive environment for all in-process quality data, customizable to unique production requirements
• Deep insight, analytics, and reporting of machine sensor data
• Dashboard visualization showing key metrics

Darren Beckett, CTO of Sigma, added “Sensor fusion – conjoining data types – will provide improved confidence in defect detection, root cause analysis and mitigation, allowing everyone to interpret control charts and other data types/sources uniformly. Our engineering team has spent over 10 years developing the technology to provide a framework for standards-based data exchange, metrics, and analytics. We are committed to an open architecture philosophy and acting as a third-party agnostic option, connectable to the broader installed base of the additive industry.”

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