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SUPPORTING THE MODELLING IN MBSE BY APPLYING PRODUCT GENERATION ENGINEERING USING ELECTRONIC COMPACT ACTUATORS AS AN EXAMPLE

Part of: Systems Engineering and Design

Published online by Cambridge University Press:  11 June 2020

M. Wäschle ,
A. Martin ,
A. Radimersky ,
M. Behrendt  and
A. Albers
M. Wäschle*
Affiliation:
Karlsruhe Institute of Technology, Germany
A. Martin
Affiliation:
Karlsruhe Institute of Technology, Germany
A. Radimersky
Affiliation:
Robert Bosch GmbH, Germany
M. Behrendt
Affiliation:
Karlsruhe Institute of Technology, Germany
A. Albers
Affiliation:
Karlsruhe Institute of Technology, Germany
*
*[email protected]

Abstract

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The development of a new motor can be a high effort. In this paper, Model-based Systems Engineering (MBSE) is applied to model the second generation of an electronic compact actuator (ECA). This paper focuses on the traceability between model elements from previous product generations. By integrating the approach of the PGE - Product Generation Engineering in MBSE, developers can store more relevant information in the model; they can accomplish automatic calculations of derived factors and build models more efficiently in further product developments.

Keywords

systems engineering (SE)model-based engineeringproduct generation engineering (PGE)traceability
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 2425 - 2434
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), 2020. Published by Cambridge University Press

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