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Sensor Integrating Machine Elements – Key to In‐Situ Measurements in Mechanical Engineering

Kirchner, Eckhard ; Martin, Georg ; Vogel, Sven
ed.: Schützer, Klaus (2018)
Sensor Integrating Machine Elements – Key to In‐Situ Measurements in Mechanical Engineering.
23rd International Seminar on High Technology. Piracicaba, Brasilien (4.10.2018)
Conference or Workshop Item, Bibliographie

Abstract

Emphasis of the presentation is both on the sensor integrating machine element as such as well as on the novel methodology to integrate those components into smart mechatronics systems. The main motivation for integrating sensors into standardized machine elements derives from industrial megatrends such as Industry 4.0, Internet of things and cyber-physical systems. For all these trends the scientific discussion mostly concentrates on generating large amounts of data and on data security, whereas little attention is being paid on how to generate high-quality robust data that require only a minimum usage of mathematical models and hence reduce uncertainty in the overall systems. For industrial applications such sensor integrating machine elements offer the advantage of being comparatively easy to integrate due to the standardized interfaces and the simplicity of dimensioning of the mechanical component being maintained. This turns out to be especially useful in low-volume applications where dedicated computerized models to derive the target quantity are prohibitively expensive, e.g. for measuring the sealing force in pneumatically operated valves for chemical plants. The presentation will cover some first-hand examples of prototype testing and illustrates the complexity of integrating such sensors in mechanical drive systems to allow for instance in-situ measurement of operational torque in automation systems.

Item Type: Conference or Workshop Item
Erschienen: 2018
Editors: Schützer, Klaus
Creators: Kirchner, Eckhard ; Martin, Georg ; Vogel, Sven
Type of entry: Bibliographie
Title: Sensor Integrating Machine Elements – Key to In‐Situ Measurements in Mechanical Engineering
Language: English
Date: 5 November 2018
Place of Publication: Piracicaba, Brasilien
Book Title: Anais do 23. Seminário Internacional de Alta Tecnologia
Event Title: 23rd International Seminar on High Technology
Event Location: Piracicaba, Brasilien
Event Dates: 4.10.2018
URL / URN: http://scpm.eng.br/anais/Anais_23.pdf
Abstract:

Emphasis of the presentation is both on the sensor integrating machine element as such as well as on the novel methodology to integrate those components into smart mechatronics systems. The main motivation for integrating sensors into standardized machine elements derives from industrial megatrends such as Industry 4.0, Internet of things and cyber-physical systems. For all these trends the scientific discussion mostly concentrates on generating large amounts of data and on data security, whereas little attention is being paid on how to generate high-quality robust data that require only a minimum usage of mathematical models and hence reduce uncertainty in the overall systems. For industrial applications such sensor integrating machine elements offer the advantage of being comparatively easy to integrate due to the standardized interfaces and the simplicity of dimensioning of the mechanical component being maintained. This turns out to be especially useful in low-volume applications where dedicated computerized models to derive the target quantity are prohibitively expensive, e.g. for measuring the sealing force in pneumatically operated valves for chemical plants. The presentation will cover some first-hand examples of prototype testing and illustrates the complexity of integrating such sensors in mechanical drive systems to allow for instance in-situ measurement of operational torque in automation systems.

Uncontrolled Keywords: Mechatronic Machine Elements, Industry 4.0, Robust Design,
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute for Product Development and Machine Elements (pmd)
Date Deposited: 05 Nov 2018 13:31
Last Modified: 13 Nov 2018 17:03
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