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Ontologies for FAIR Data in Additive Manufacturing: A Use Case‐Based Evaluation

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
An ontology‐based approach for generating findable, accessible, interoperable, reusable data in additive manufacturing is explored, focusing on powder bed fusion. The article highlights the benefits of enhanced data findability and digital twin enablement, while addressing challenges like data integration complexity and the need for specialized ...
Thomas Bjarsch   +2 more
wiley   +1 more source

Icephobic Gradient Polymer Coatings Coupled with Electromechanical De‐icing Systems: A Promising Ice Repellent Hybrid System

open access: yesAdvanced Engineering Materials, EarlyView.
A hybrid system for de‐icing made of gradient polymer coatings, deposited on aluminum coupled with an electromechanical system, is demonstrated as an effective and durable strategy for reducing drastically ice adhesion. The system is capable of detaching ice blocks over the coating in less than 1 s, regardless of the ice type and covered area ...
Gabriel Hernández Rodríguez   +8 more
wiley   +1 more source

Performance Evaluation of Upper‐Level Ontologies in Developing Materials Science Ontologies and Knowledge Graphs

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
This article provides examples of ontology development in the materials science domain (use‐case of Brinell hardness testing) and gives ontology developers an overview for selecting their desired top‐level ontologies (e.g., BFO, EMMO, PROVO) by considering different evaluation parameters like semantic richness, domain coverage, extensibility ...
Hossein Beygi Nasrabadi   +3 more
wiley   +1 more source

Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development

open access: yesAdvanced Engineering Materials, Volume 27, Issue 8, April 2025.
This work addresses the inefficiencies in traditional glass development by implementing an ontology‐based digital infrastructure coupled with a high‐throughput robotic melting system. The approach integrates machine learning models, predictive tools, and a semantic database.
Ya‐Fan Chen   +20 more
wiley   +1 more source

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