Data Science (Page 2)

EWI has considerable experience developing and modifying ICME approaches for manufacturing applications. These predictive tools can be used to improve process parameter selection, predict microstructure and properties, and more. Alex Kitt, EWI Director of Data Science, has written AM Applications of Analytical Methods to Predict Thermal Excursions for Continuous Joining Processes, to present a case...

EWI is currently conducting an applied R&D program to help small and medium-sized manufacturers (SMMs) use Industry 4.0 concepts and tools to improve operations. Recent work has resulted in the development of a system that can acquire, visualize, inspect, and analyze low- and high-frequency data collected from precision sensors to check the quality of machined...

Combining video with data acquisition programs can deliver a highly sophisticated tool for diagnosing potential problems and making adjustments while fabrication is in process. There are existing high-speed camera (HSC) and data acquisition (DAQ) systems that have been custom-built, but to-date these have been cumbersome to operate and commercially unsupported. EWI has developed a new,...