About the Course
About the Course
Part one of the AM Data Management covers the fundamental concepts for the acquisition, management, and use of data in additive Manufacturing. Additive Manufacturing (AM) is the first new manufacturing process to be developed in the age of data. There are compelling proofs of concept for the use of this data including reducing qualifications costs by applying machine learning approaches and reducing inspection costs using in-process monitoring. However, further advancement of the use of these and other data-based approaches is limited without the creation of an AM data ecosystem. This talk will present the potential benefits of AM data as well as the challenges the community needs to overcome to realize an AM data ecosystem.
After completing this webinar you will be able to:
- Articulate the importance of the AM data ecosystem
- Look up and comply with current AM reporting standards
- Keep up to date with new developments in AM data standardization
Who Should Attend?
This webinar is intended for Manufacturing Engineers, Research Engineers, and AM Process Engineers.
Alex Kitt has ten years of experience performing, leading, and identifying needs for industry-relevant research and development. Over that time, Alex’s work has included metal additive manufacturing, X-ray CT and optical metrology, augmented reality, and graphene. Alex was a member of the Buffalo Manufacturing Works start up team, created the EWI metrology and inspection team, and initiated EWI’s involvement in the ASTM AM CoE. Alex continues to be involved with ASTM F42 as the sub-committee chair for ASTM F42.08 on AM data. Before joining EWI, Alex worked as a post-doc at the University of Rochester Institute of Optics.
Alex has a BS in Physics and a BA in mathematics from the University at Buffalo. He received a PhD in physics from Boston University, where he demonstrated proof of concept for graphene-based threshold pressure sensors for remote oil well application.