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Project Category: AM Genome
5001.001.001.001 Machine Learning (ML) to Enable Rapid Design Allowables Development for Additive Manufacturing
February 17, 2022
The primary objective of this project was to develop two mechanical property design allowables for AM using a single set of empirical data. The project sought to establish an approach to AM design...
5001.001.001.002 Correlating In-Situ Sensor Data to Defect Locations and Part Quality for Additively Manufactured Parts Using Machine Learning
December 22, 2021
The objective of this project was to establish a quantifiable correlation between the in-situ sensor footprint, process anomalies (i.e. build flaws), and part quality as derived from fatigue...
5001.001.001.002 Correlating In-Situ Sensor Data to Defect Locations
April 20, 2021
The objective of this project is to establish a quantifiable correlation among the in-situ sensor footprint, process anomalies (i.e. build flaws), and part quality as derived from fatigue testing....
5001.001 Machine Learning (ML) to Enable Rapid Design Allowables Development for AM
February 17, 2021
The primary objective of this project is to develop two mechanical property design allowables for AM using a single set of empirical data. This project aims to establish an approach to AM design...
4060 Non-Empirical Predictive Model for AM Lattice Structures
June 23, 2017
While previous work homogenized behavior on the cellular level, this project sought to go a level deeper and extract data at a material level. The objective of this project was to develop...
