|About this Abstract
||Materials Science & Technology 2020
||Additive Manufacturing: Qualification and Certification
||A Comprehensive Digital Platform for Additive Manufacturing
||Luke Scime, Alka Singh, Daniel Robertson, Brandon Mathis, William Halsey, James Haley, Samuel Leach, Kyle Saleeby, Amir Ziabari, Michael Sprayberry, Derek Rose, Ryan Dehoff, Vincent Paquit
|On-Site Speaker (Planned)
For Additive Manufacturing to be used in critical applications, part certification is critical. Furthermore, the printer is only one step in any manufacturing chain, with every physical link in this chain requiring a corresponding “digital twin” as part of any robust certification process. In this presentation, the Digital Platform at Oak Ridge National Laboratory’s Manufacturing Demonstration Facility will be discussed. This platform integrates data from in-situ sensors, feedstock provenance, machine maintenance and calibration histories, and metrology characterizations. Each part’s digital twin is defined as a list of operations (e.g. additive prints, heat treatments, subtractive machining, tensile tests) each with associated in-situ and meta data. The Digital Platform enables not only classical certification schemas, but also the use of Artificial Intelligence for defect detection, process control, and prediction of part performance. Examples from the Transformational Challenge Reactor program will be explored, and selected data analytics tools will be described.