Results 31 to 40 of about 4,065 (308)

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed   +6 more
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour   +5 more
wiley   +1 more source

Designing-in of quality through axiomatic design [PDF]

open access: yesIEEE Transactions on Reliability, 1995
Decisions made during the design stage of product and process development profoundly affect product quality and process productivity. To aid in design decision making, a theoretical framework is advanced; the axiomatic approach to design. Axiomatic design consists of: (1) domains in the design world; (2) mapping between these domains; (3 ...
openaire   +2 more sources

A Methodology for Disaster Tolerance Utilizing the Concepts of Axiomatic Design [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2008
Axiomatic Design (AD) is a methodology that utilizes customer needs as input and produces functional requirements, design parameters, and process variables through the use of matrix methods.
Diana M. Easton   +3 more
doaj  

Axiomatic Design of an automatic card dealing robot [PDF]

open access: yesMATEC Web of Conferences, 2019
When you’re playing card games with friends, a problem often occurs, at some point, no one wants to be the dealer. We propose an automatic card dealing robot.
Sigmarsson Anton Björn   +3 more
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

Entropy-Based Assessment of Nonfunctional Requirements in Axiomatic Design

open access: yesIEEE Access, 2021
The main information systems design techniques focus, almost exclusively, on the functional requirements of the system to be implemented. In its standard formulation, axiomatic design has such characteristics. However, in complex operational environments,
Elaheh Pourabbas   +3 more
doaj   +1 more source

A Perspective on Interactive Theorem Provers in Physics

open access: yesAdvanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Axiomatic Design for Creativity, Sustainability, and Industry 4.0 [PDF]

open access: yesMATEC Web of Conferences, 2019
This paper discusses how to foster creativity and sustainability during Axiomatic Design processes, including Industry 4.0 as an example application. Creativity is generating valuable, new ideas. Innovation is making new ideas viable. This paper explains
Brown Christopher A., Rauch Erwin
doaj   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

open access: yesAdvanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen   +7 more
wiley   +1 more source

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