Data Science

Data-based tools and techniques can significantly improve manufacturing efficiency and productivity. To date, however, there have been challenges – both real and perceived – to full-scale adoption of data science across industrial sectors. To address these obstacles, EWI Director of Data Science Alex Kitt has written Data Science: New Approaches to Address Manufacturing Challenges. This...

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...