Results 231 to 240 of about 877,477 (319)

Digital Methods for the Fatigue Assessment of Engineering Steels

open access: yesAdvanced Engineering Materials, EarlyView.
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener   +7 more
wiley   +1 more source

Ontology‐Based Data Acquisition, Refinement, and Utilization in the Development of a Multilayer Ferrite Inductor

open access: yesAdvanced Engineering Materials, EarlyView.
Multilayer ferrite inductor prototypes are fabricated by cofiring metallized tapes of NiCuZn ferrite and glass‐ceramic composite. Prerequisites for a predictive component simulation are discussed. An automated data‐pipeline stores and semantically links the experimental data acquired in the study according to a domain ontology.
Björn Mieller   +8 more
wiley   +1 more source

Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein   +44 more
wiley   +1 more source

Home - About - Disclaimer - Privacy