Data Science

Are you seeking an automated solution to assess quality, reliability, and safety in your manufacturing operation? EWI recently worked with materialsIN to develop a real-time quality assurance system for ultrasonically welded, lithium-ion battery tabs. In a new paper, A Fully Automated Quality Assurance Solution for Battery Tab Welds Using Process Monitoring and AI, EWI engineers...

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...