Digital twin (DT) and artificial intelligence (AI) technologies are powerful enablers for
Industry 4.0 toward sustainable resilient manufacturing. Digital twins of machine tools and …

Fatigue fracture of welded joints is an important cause for engineering accidents. Due to the
coexistence of so many influencing factors, the current prediction model of fatigue behavior …

The above article is about research for implementing a visual monitor that evaluates the
weld penetration during pulsed tungsten arc gas (GTAW) welding which used active shape …

Monitoring of the state, performance, quality of operations and other parameters of
equipment and production processes, which is typically referred to as condition monitoring …

Data analysis including ML are essential to extract insights from production data in modern
industries. However, industrial ML is affected by: the low transparency of ML towards non …

Automatic knowledge graph (KG) construction is widely used in industry for data integration
and access, and there are several approaches to enable (semi-) automatic construction of …

Resistance spot welding is an important process in the production of body-in-white. The
quality of the welded nugget affects the safety performance of the whole vehicle. Currently …

The manufacturing industry constantly aims to improve product quality while improving
production speed and lowering production costs. Resistance spot welding (RSW) is widely …

Enhancing Knowledge Graph Generation with Ontology Reshaping – Bosch Case |
SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find a journal …

Automated welding is heavily used in the automotive industry to produce car bodies by
connecting metal parts with welding spots. Modern welding solutions and manufacturing …