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USING EFFECT CATALOGUES FOR THE DESIGN OF SENSING MACHINE ELEMENTS – METHOD AND EXEMPLARY APPLICATION

Published online by Cambridge University Press:  27 July 2021

André Harder ,
Hans Joachim; Gross ,
Gunnar Vorwerk-Handing  and
Eckhard Kirchner
André Harder*
Affiliation:
Technical University Darmstadt
Hans Joachim; Gross
Affiliation:
Technical University Darmstadt
Gunnar Vorwerk-Handing
Affiliation:
Technical University Darmstadt
Eckhard Kirchner
Affiliation:
Technical University Darmstadt
*
Harder, André, Technical University Darmstadt Institute of Product Development and Machine Elements Germany, harder@pmd.tu-darmstadt.de

Abstract

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Close to process measuring improves the data quality of a condition monitoring process. A possibility to access such measurements comes with the addition of a sensory function in machine elements. For a systematic development of sensing machine elements, an approach is presented for the identification of possible measurands to determine a variable of interest. Based on a modelling of physical causeeffect- relationships by using an effect matrix and an effect catalogue it allows to consider both direct and indirect measurements for the determination of measurands in technical systems.

The presented approach is initially applied to develop a sensory solution for self-lubricated fibrecomposite sliding bearings. The aim is to measure a variable of interest that can give a conclusion about the estimated remaining useful lifetime. The development process is described and possible solutions for measurement concepts are presented. The electrical capacity measurement, evaluated as the most promising concept, is described in detail and experimental results are presented.

These results show the applicability of the sensory concept and therefore, the benefits of the presented approach.

Keywords

Design methodsSensory Machine ElementsConceptual designIndustry 4.0
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 3359 - 3368
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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