Results 241 to 250 of about 4,098,484 (351)

An Automatized Simulation Workflow for Powder Pressing Simulations Using SimStack

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
The implementation of Workflow active Nodes (WaNos) for the convenient execution and automated evaluation of discrete element method calculations of powder pressing is showcased. Purposeful combination of WaNos creates timesaving and resource‐effective computational workflows.
Bjoern Mieller   +2 more
wiley   +1 more source

Digital Methods for the Fatigue Assessment of Engineering Steels

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
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

Modeling and Accessing Smart Materials with Integrity Constraints in the Shapes Constraint Language and Ontologies—The SmaDi Way

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
Integrity constraints enforce consistency and completeness on data. The article discusses a newly developed validator for checking integrity constraints in Shapes Constraint Language (SHACL) through reduction to SPARQL Protocol and RDF Query Language (SPARQL) queries. It can be used with systems for ontology‐based database access.
Özgür L. Özçep   +5 more
wiley   +1 more source

Tissue growth as a mechanism for collagen fiber alignment in articular cartilage. [PDF]

open access: yesSci Rep
Peters JR   +5 more
europepmc   +1 more source

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

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
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

Smart Rubber Extrusion Line Combining Multiple Sensor Techniques for AI‐Based Process Control

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
This publication presents a digitalization approach for a laboratory rubber extrusion line, employing innovative measurement methods and artificial intelligence (AI)‐based process control. The results demonstrate that the measurement systems are capable of detecting changes in the process and extrudate quality.
Alexander Aschemann   +18 more
wiley   +1 more source

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