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Sensory Utilizable Design Elements: Classifications, Applications and Challenges

Harder, André ; Hausmann, Maximilian ; Kraus, Benjamin ; Kirchner, Eckhard ; Hasse, Alexander (2022):
Sensory Utilizable Design Elements: Classifications, Applications and Challenges. (Publisher's Version)
In: Applied Mechanics, 3 (1), pp. 160-173. MDPI, e-ISSN 2673-3161,
DOI: 10.26083/tuprints-00022184,
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Item Type: Article
Origin: Secondary publication DeepGreen
Status: Publisher's Version
Title: Sensory Utilizable Design Elements: Classifications, Applications and Challenges
Language: English
Abstract:

The sensory acquisition of in situ data in technical systems is one of the key requirements set by ongoing digitalization. The sensory utilization of mechanical design elements is a step towards the accomplishment of this requirement. To set a common ground for further research in the context of sensory utilizable design elements, this paper reviews the current state of research in this topic. First, the aim, potentials and classification of sensory utilizable design elements are introduced. Next, examples of sensory utilizable design elements are presented. These examples are used to demonstrate the technical and methodical challenges that have to be addressed in order to establish sensory utilizable design elements as a solution for the requirements of digitalization.

Journal or Publication Title: Applied Mechanics
Volume of the journal: 3
Issue Number: 1
Place of Publication: Darmstadt
Publisher: MDPI
Uncontrolled Keywords: sensors, sensing design elements, digitalization, sensor integration, in situ measurement
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Divisions: 16 Department of Mechanical Engineering > Institute for Product Development and Machine Elements (pmd)
Date Deposited: 05 Sep 2022 13:13
Last Modified: 07 Sep 2022 08:26
DOI: 10.26083/tuprints-00022184
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-221845
Additional Information:

This article belongs to the Special Issue Smart Structures and Systems: Actual Scientific and Industrial Research

SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/22184
PPN: 498941345
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