By Alex Benham Picture this: You’re lying in bed, fast asleep, when your phone rings.…
May 2023 AM Trends Newsletter
Summer is on the horizon and things were definitely heating up at RAPID + TCT! It was great to see so many of you there, catch up on what you’re doing, and show you the latest with the PrintRite3D® suite. We’re looking forward to more collaborations and innovation with our products and partnerships.
The RAPID + TCT Conference (held this year at the McCormick Place convention center) is always a high point of our year. We loved showcasing our PrintRite3DⓇ solution and how it contributes to machine, process, and part health. Our partner Novanta joined us in our booth to demonstrate several new production scan head features and show off their benefits to customers across the industry.
We also loved walking the expo floor and seeing the new and exciting things our partners are up to. Highlights included DyeMansions’s work on the Wilson Airless Prototype Basketball and Dyndrite’s LPFB build showcase.
Check out these and more on our new blog post.
Virginia Tech is the home of the Design, Research, and Education for Additive Manufacturing Systems (DREAMS) Laboratory as part of their department of Mechanical Engineering. Using Sigma’s PrinteRite3D system, students in the DREAMS Lab will be able to advance their research into sensor fusion, digital twins, and model-based defect prediction for critical applications.
Interested in working with us? Our AcGovDustrial network streamlines our work with universities like Virginia Tech, as well as research labs, government organizations, and industrial companies to provide a platform for improving collaboration related to in-situ monitoring and real-time analysis for quality assurance, certification, and qualification of additively manufactured parts. Read this information sheet to learn how to join us.
In additive manufacturing, it’s common knowledge that each machine is a unicorn…and not in a good way. The industry is flooded with various OEMs, each with various machine models that operate a little bit differently, report information a bit differently, and act to the same inputs a bit differently. These variations are found even in machines with consecutive serial numbers. These discrepancies in the performance and reliability of the machines make it challenging for anyone trying to maintain consistent quality across a production fleet.
This is where PrintRite3D Machine Health comes into play. It is a powerful monitoring solution that allows us to understand and track variance within our machines. Utilizing onboard sensors and advanced statistical analysis, Machine Health provides real-time insights into the performance of our production fleets. By identifying sudden changes, steady trends, and non-conformance of key parameters in the machine environment, Machine Heath brings a bare minimum to quality of any industry, helping you understand operational variance and know if you’re within standard operating windows.
Want to know more? Alex Benham just posted this article about how Sigma’s PrintRite3D Machine Health Module helps industry leaders solve machine quality analytics challenges. Read the article.
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Together with partner Kitware, this month we completed phase 1 of the Navy SBIR AI/ML grant for Additive Manufacturing Defect Detection. Our team made significant strides in the development of an AI/ML system which can immediately identify and classify different types of defects during the additive manufacturing process by use of a powderbed camera. Utilizing machine learning to correlate powderbed images with photodiode measurements of the melt pool and stock onboard sensor measurements of environmental and operational conditions we are able correlate signatures across these data streams marking the beginning of sensor fusion in additive manufacturing. This innovative technology enhances defect detection across multiple methodologies, paving the way to improved quality and consistency of parts produced using additive manufacturing across a range of industries, including aerospace, automotive, medical, and consumer goods.
We are now in the process of applying for the phase 2 grant to continue this important work.
Disclaimer: This material is based upon work supported by the Office of Naval Research under Contract No. N68335-23-C-0067. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Office of Naval Research.
For more information about any of these opportunities, or if we can assist you in any way, please contact us at sales@SigmaAdditive.com.
Sigma Additive Solutions, Inc.
sales@sigmaadditive.com
505.438.2576
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