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Computing solution spaces for gear box design

Published online by Cambridge University Press:  16 May 2024

Klara Ziegler ,
Kutay Demir ,
Thomas Luft ,
Thomas Mucks ,
Marius Fürst ,
Michael Otto ,
Karsten Stahl ,
Birgit Vogel-Heuser  and
Markus Zimmermann
Klara Ziegler*
Affiliation:
Technical University of Munich, Germany
Kutay Demir
Affiliation:
Technical University of Munich, Germany
Thomas Luft
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Thomas Mucks
Affiliation:
J.M. Voith SE & Co. KG | VTA, Germany
Marius Fürst
Affiliation:
Technical University of Munich, Germany
Michael Otto
Affiliation:
Technical University of Munich, Germany
Karsten Stahl
Affiliation:
Technical University of Munich, Germany
Birgit Vogel-Heuser
Affiliation:
Technical University of Munich, Germany
Markus Zimmermann
Affiliation:
Technical University of Munich, Germany
*
*[email protected]

Abstract

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The design of gear boxes is a complex challenge characterized by conflicting requirements and seemingly circular dependencies. Existing tools support engineers but focus on a single predefined design, often leading to costly iterative processes and non-optimal solutions. Solution Space Engineering (SSE) alleviates this by generating multiple designs represented by solution spaces. For this, a particular model structure is needed, and thus restructuring existing models, e.g., from industry standards. The application of solution spaces to a two-stage gear box is presented.

Keywords

design toolsdesign processproduct developmentgear box design
Type
Engineering Design Practice
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 3041 - 3050
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), 2024.

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