A Novel Digitalization Approach for Smart Materials - Ontology-Based Access to Data and Models

被引:4
|
作者
Maas, Juergen [1 ]
Leemhuis, Mena [2 ]
Mertens, Jana [1 ]
Schmidtke, Hedda [2 ]
Courant, Robert [1 ]
Dahlmann, Martin [3 ]
Stark, Sebastian [4 ]
Boehm, Andrea [5 ]
Pagel, Kenny [5 ]
Hinze, Maximilian [6 ]
Pinkal, Daniel [7 ]
Wegener, Michael [6 ]
Wagner, Martin Franz-Xaver [7 ]
Sattel, Thomas [3 ]
Neubert, Holger [4 ]
Oezcep, Oezguer [2 ]
机构
[1] Tech Univ Berlin, Mechatron Syst Lab, Hardenbergstr 36, D-10623 Berlin, Germany
[2] Univ Lubeck, Inst Informat Syst, Ratzeburger Allee 160, D-23562 Lubeck, Germany
[3] Tech Univ Ilmenau, Mechatron Grp, Max Planck Ring 12, D-98693 Ilmenau, Germany
[4] Fraunhofer Inst Ceram Technol & Syst IKTS, Dept Smart Mat & Syst, Winterbergstr 28, D-01277 Dresden, Germany
[5] Fraunhofer Inst Machine Tools & Forming Technol IW, Dept Shape Memory Alloys, Nothnitzer Str 44, D-01187 Dresden, Germany
[6] Tech Univ Chemnitz, Inst Mat Sci & Engn, Erfenschlager Str 73, D-09125 Chemnitz, Germany
[7] Fraunhofer Inst Appl Polymer Res IAP, Dept Sensors & Actuators, Geiselbergstr 69, D-14476 Potsdam, Germany
关键词
digitalization; ontology; smart materials;
D O I
10.1002/adem.202302208
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Smart materials react to physical fields (e.g., electric, magnetic, and thermal fields) and can be used as sensors, actuators, and generators due to their bidirectional behavior. Easy and multiscale access to material data and models enables efficient research and development with regard to the selection of appropriate materials and their optimization towards specific applications. However, different working principles, measurement and analysis methods, as well as data storage approaches lead to heterogeneous and partly inconsistent datasets. The ontology-based data access (OBDA) is a suitable method to access such heterogeneous datasets easily and quickly, while material models can transform material data across certain scales for different applications. In order to connect both capabilities, an extended approach enabling an ontology-based data and model access (OBDMA) is presented, also supporting findable, accessible, interoperable, and re-usable (FAIR). The OBDMA system comprises four main levels, the query, the ontology, the mapping, and the database. Storing knowledge at these different levels increases the interchangeability and enables variable datasets, which is essential, especially for dynamic research fields such as smart materials. In this article, the principles and advantages of the OBDMA approach are demonstrated for different subclasses of smart materials, but can be transferred to other materials, too. In order to access heterogeneous material data and model-based knowledge, the established ontology-based data access (OBDA) is extended to include material models. This novel ontology-based data and model access (OBDMA) enables the computation of new responses beyond stored data. Demonstrated across various smart material subclasses, its versatility suggests broader application possibilities.image (c) 2024 WILEY-VCH GmbH
引用
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页数:12
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