Overcoming additive manufacturing challenges using data analytics

1:30 pm - 4:00 pm
Expo Hall/Career Fair

Objective: Inspiration
Audience Level: All
Session Type: Poster

Producing Additive Manufacturing parts that adhere to failure standards presents a challenge for continued rapid industrial growth. Most research approaches the problem from a material science perspective. This work describes a multi-pronged approach using data analytics and statistics for data discovery to identify process improvement areas and promote the potential for advance defect detection.


, R&D staff, Oak Ridge National Laboratory