Results 231 to 240 of about 1,404,393 (269)

Semantic Representation of Low‐Cycle‐Fatigue Testing Data Using a Fatigue Test Ontology and ckan.kupferdigital Data Management System

open access: yesAdvanced Engineering Materials, EarlyView.
This article introduces an automated approach for converting the raw research data (use case of low‐cycle‐fatigue testing dataset) to machine‐readable resource description framework ones and storing them in an open digital repository. As two main prerequisites for this data digitalization process, the development of fatigue testing ontology and ckan ...
Hossein Beygi Nasrabadi   +2 more
wiley   +1 more source

Learning control for robots based on linear approximation of inverse system.

open access: bronze, 1987
Munehisa Takeda   +5 more
openalex   +2 more sources

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

An Automatized Simulation Workflow for Powder Pressing Simulations Using SimStack

open access: yesAdvanced Engineering Materials, EarlyView.
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, 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

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

open access: yesAdvanced Engineering Materials, EarlyView.
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

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

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