|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Additive Manufacturing: Building the Pathway towards Process and Material Qualification
||A-24: AM Informatics – Optimizing Additive Manufacturing through Effective Use of Materials and Process Information
||Najib Baig, James Goddin, Will Marsden
|On-Site Speaker (Planned)
Qualification of Additive Manufacturing (AM) requires an understanding of 1) minimum product requirements e.g. mechanical, thermal properties 2) process variability e.g. machine parameters, feedstock, post-processing, build orientation and 3) minimum testing required to certify part.
Once the qualification strategy is defined the process will generate vast amount of critical data (builds, machines, materials, tests) that needs to be controlled, analyzed and understood. Managing this information in a systematic way and having the right tools for data analysis is therefore critical to ensure an efficient and effective AM qualification.
This report provides an overview of the current state of AM Informatics—how data from AM is being captured and utilized to enhance supply chain and production processes, shortening development times and enhancing the reproducibility and quality of part production in support of qualification objectives.
||Planned: Supplemental Proceedings volume