NCDMM and America Makes will be unveiling the AMNOW Polymer Challenge — a challenge to those working in data analytics and artificial intelligence in advanced manufacturing to demonstrate their capabilities using a dataset recently developed by AMNOW program with intentional anomalies introduced in the material extrusion process. While high-cost industrial machines and feedstock are producing industrial production parts in almost every industry, the same degree of consistency and quality is not demonstrated on low-cost desktop printers. In-situ monitoring using low-cost sensors and data analysis offers the potential to evaluate the quality of a part without expensive or destructive testing. Ultimately, when this monitoring is coupled with closed-loop feedback, the ability to produce industrial-grade components with lower-cost printers and feedstocks could be realized.
The program produced more than 60 parts in a series of control and test set data-rich 3D Printed builds using two Material Extrusion machines equipped with data acquisition equipment and 3rd party sensors.
This data set consists of:
- Build Geometries and Layout
- Filament Information
- Slicer Information
- Machine and Sensor Time-Series Data from >60 Parts from 2 different machines
- Pressure Test Results
Additionally, all of the data has been associated to enhance correlation and analysis.
The Challenge: Demonstrate the ability to detect and predict anomalies through data analysis.
The Opportunity: The opportunity is not only to have access to this correlated, rich dataset and the ability to report your findings to the broader America Makes audience but to earn a small contract.
RFP to be released April 13.