AI + Manufacturing will help prevent replacement part failure.
WBI helped AFRL/RX set up the collaboration environment that creates a secure domain for students and AFRL researchers to work in tandem on basic research data and collaborate in real-time. creates a secure domain for students and AFRL researchers to work in tandem on basic research data and collaborate in real-time. This facilitates ideation, knowledge sharing, data sharing, project collaboration, and rapid iteration across academic and AFRL collaborators. This platform is currently being used to connect AFRL researchers with students at Georgia Tech, Harvard, and The Ohio State University’s newly dedicated “Artificially Intelligent Manufacturing Systems (AIMS)” Laboratory to explore how we teach tools to be teammates. WBI's pioneering of Cloud usage was critical to the success of this collaboration.
Artificial intelligence and machine learning in production manufacturing will lead to quickly identify any glitches in production that would result in a failed part. This is important to the AF Sustainment centers that are looking to replace obsolete parts on current operational aircraft that the parts they print will have structural integrity.
This project accelerates the development of 3D printing for operational use. The Digital Manufacturing Research Team will accelerate its research by teaming with universities across the country. This project's goal is to correlate the data used to print an object with the material properties of the article. By identifying the factors that make a good print the team will be able to better control product quality of printed operational parts.