Researchers have published research detailing their development of an AI framework to detect defects in additively ...

CAMBRIDGE, Mass.--It's a well-known characteristic of metals that repeated bending in the same place can cause the material to weaken and eventually break; this phenomenon, known as metal fatigue, can ...

image: THE INTRODUCTION OF DEFECTS INTO ELECTRODE MATERIALS FOR METAL-BASED BATTERIES IS AN EFFECTIVE STRATEGY TO IMPROVE BATTERY PERFORMANCE, DUE TO DEFECTIVE CATALYSTS HAVE THE ADVANTAGES OF HIGH ...

The formation of lithium dendrites is still a mystery, but materials engineers study the conditions that enable dendrites and how to stop them. Historically, as in decades ago, rechargeable lithium ...

Engineers have found a way to simultaneously mitigate three types of defects in parts produced using a prominent additive manufacturing technique called laser powder bed fusion. University of ...

SAN FRANCISCO — A South Korean researcher has described a new method for detecting extremely low levels of metal particles that often turn into chip defects. Excellent methods of detection exist, ...

Researchers at POSTECH and the Korea Institute of Materials Science (KIMS) have developed an AI-based analytical framework ...

Novosibirsk State Technical University has developed an intelligent quality control system for industry. The technology allows you to automatically find cracks, dents, and corrosion spots on a steel ...

Iceland-based startup Euler has launched an AI platform for metal 3D printing that analyzes underused sensor image data to detect and predict defects in real time. Trained on thousands of laser powder ...

(Nanowerk News) University of Wisconsin-Madison engineers have found a way to simultaneously mitigate three types of defects in parts produced using a prominent additive manufacturing technique called ...