Results 151 to 160 of about 2,521,927 (179)

A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion

Advanced Engineering Materials, EarlyView.
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann, Eduard Ortlieb, Hendrik Wester, Paul Christoph Gembarski, Bernd‐Arno Behrens, Roland Lachmayer   +5 more
wiley   +1 more source

Simulation of Inhomogeneous Refractive Index Fields Induced by Hot Tailored Forming Components

Advanced Engineering Materials, EarlyView.
This article presents a simulation model for simulating inhomogeneous refractive index fields (IRIF) in hot‐forged components, accounting for thermal influences and complex geometries. Through this simulation, a priori knowledge about the propagation of the IRIF can be obtained, allowing for the positioning of the component or an optical measurement ...
Pascal Kern, Lennart Hinz, Markus Kästner, Eduard Reithmeier   +3 more
wiley   +1 more source

An Ontology‐Augmented Digital Twin for Fiber‐Reinforced Polymer Structures at the Example of Wind Turbine Rotor Blades

Advanced Engineering Materials, EarlyView.
A methodology for establishing an ontology‐augmented structural digital twin for fiber‐reinforced polymer structures dedicated to individual lifetime prediction, in this case, a wind turbine rotor blade, is introduced. The methodology resembles the manufacturing as well as the operation of the structure.
Marc Luger, Alexander Seidel, Ursula Pähler, Sebastian Schröck, Peter Hofmann, Sebastian Kölbl, Klaus Drechsler   +6 more
wiley   +1 more source

Seamless Science: Lifting Experimental Mechanical Testing Lab Data to an Interoperable Semantic Representation

Advanced Engineering Materials, EarlyView.
In pursuit of modern data management techniques, this study presents an in‐lab pipeline combining electronic laboratory notebooks (eLabFTW) and Python scripts for creating semantically enriched, interoperable, machine‐actionable data. Automating data mapping enhances usability, collaboration, and unified knowledge representation.
Markus Schilling, Sebastian Bruns, Bernd Bayerlein, Jehona Kryeziu, Jörg Schaarschmidt, Jörg Waitelonis, Pedro Dolabella Portella, Karsten Durst   +7 more
wiley   +1 more source

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

Advanced Engineering Materials, EarlyView.
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, Klaus Drechsler, Johannes Schilp   +2 more
wiley   +1 more source

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

Advanced Engineering Materials, EarlyView.
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, Ebrahim Norouzi, Harald Sack, Birgit Skrotzki   +3 more
wiley   +1 more source

Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development

Advanced Engineering Materials, EarlyView.
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, Felix Arendt, Hansjörg Bornhöft, Andréa S. S. de Camargo, Joachim Deubener, Andreas Diegeler, Shravya Gogula, Altair T. Contreras Jaimes, Sebastian Kempf, Martin Kilo, René Limbach, Ralf Müller, Rick Niebergall, Zhiwen Pan, Frank Puppe, Stefan Reinsch, Gerhard Schottner, Simon Stier, Tina Waurischk, Lothar Wondraczek, Marek Sierka   +20 more
wiley   +1 more source

KupferDigital: Ontology‐Based Digital Representation for the Copper Life Cycle

Advanced Engineering Materials, EarlyView.
It is demonstrated how data from different stages in the life cycle of a copper product can be stored in an ontology‐based data space. In order to showcase the methods and tools used in the project, four use cases are presented that show how data from different sources can be semantically described and queried from a shared data space.
Miriam Eisenbart, Thomas Hanke, Felix Bauer, Hossein Beygi Nasrabadi, Kurt Junghanns, Gordian Dziwis, Ladji Tikana, Ashak Mahmud Parvez, Karl Gerald van den Boogaart, Mohsin Sajjad, Valerie Friedmann, Johannes Preußner, Anantha Narayanan Ramakrishnan, Sandy Klengel, Lars‐Peter Meyer, Michael Martin, Ulrich Ernst Klotz, Birgit Skrotzki, Matthias Weber   +18 more
wiley   +1 more source

A Novel Simulation Approach for Damage Evolution during Tailored Forming

Advanced Engineering Materials, EarlyView.
Traditional damage models are struggling to accurately and efficiently simulate large‐scale three‐dimensional models with a great number of degrees of freedoms. A new gradient‐enhanced damage model based on the extended Hamilton principle can significantly reduce the computation time while ensuring mesh‐independence which is suitable to use in tailored
Fangrui Liu, Dustin Roman Jantos, Philipp Junker   +2 more
wiley   +1 more source

Teaching computer algorithms and data structures to students in engineering and the physical sciences [PDF]

Proceedings of IEEE Frontiers in Education Conference - FIE '93, 2002
The author describes a new three credit-hour course at the Colorado School of Mines (CSM), MACS 410: Scientific Programming in C. This one-semester course is targeted for students in engineering or the physical sciences who have finished the CSM core courses in computing and not expect to either major or minor in CS.
Robin R. Murphy
openalex   +2 more sources