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DEVELOPMENT OF A GENERAL SENSOR SYSTEM MODEL TO DESCRIBE THE FUNCTIONALITY AND THE UNCERTAINTY OF SENSING MACHINE ELEMENTS

Published online by Cambridge University Press:  27 July 2021

Maximilian Hausmann ,
Peter Welzbacher  and
Eckhard Kirchner
Maximilian Hausmann*
Affiliation:
Technical University of Darmstadt, Institute for Product Development and Machine Elements
Peter Welzbacher
Affiliation:
Technical University of Darmstadt, Institute for Product Development and Machine Elements
Eckhard Kirchner
Affiliation:
Technical University of Darmstadt, Institute for Product Development and Machine Elements
*
Hausmann, Maximilian, Technical University of Darmstadt, Institute for Product Development and Machine Elements, Germany, [email protected]

Abstract

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Sensor integration as close to the process as possible provides advantages in the quality of the measurement results as well as the possibility to implement completely new sensor principles and to measure novel quantities of interest. Sensor integration at positions close to the process can be made possible, for example, through the development and application of Sensing Machine Elements (SME). In the first part of this contribution, a general sensor system model is proposed. It is based on the concept of measuring chains and allows the uniform description of functions and uncertainties within a conventional sensor or SME application. For this purpose, essential quantities are defined, which are required for a uniform understanding. In the second part, the presented sensor system model is applied to a load measuring strain gauge on a drive shaft. This enables the condition monitoring of the shaft and drive train by measuring the electrical resistance of the strain gauge and thus allowing conclusions about the acting drive torque. The individual functions and uncertainties of the strain gauge integration are presented in the system model. This example shows the applicability of the presented system model for sensors and SME.

Keywords

Industry 4.0Product modelling / modelsUncertaintyMetrologySensing Machine Elements
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 1243 - 1252
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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