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MULTIDISCIPLINARY DESIGN OPTIMIZATION OF A MOBILE MINER USING THE OPENMDAO PLATFORM

Published online by Cambridge University Press:  27 July 2021

Olle Vidner ,
Robert Pettersson ,
Johan A Persson  and
Johan Ölvander
Olle Vidner*
Affiliation:
Linköping University
Robert Pettersson
Affiliation:
Epiroc Rock Drills AB
Johan A Persson
Affiliation:
Linköping University
Johan Ölvander
Affiliation:
Linköping University
*
Vidner, Olle, Linköping University, Division of Product Realisation, Sweden, olle.vidner@liu.se

Abstract

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This paper proposes an optimization framework based on the OpenMDAO software library intended for engineer-to-order products and applies it to the conceptual design of a Mobile Miner. A Mobile Miner is a complex machine and a flexible alternative to Tunnel Boring Machines for small-scale tunneling and mining applications. The proposed framework is intended for use in early design and quotation stages with the objective to get fast estimates of important product characteristics, such as excavation rate and cutter lifetime. The ability to respond fast to customer requests is vital when offering customized products for specific applications and thereby to stay competitive on the global market. This is true for most engineer-to-order products and especially for mining equipment where each construction project is unique with different tunnel geometries and rock properties. The presented framework is applied to a specific use-case where the design of the miner's cutter wheel is in focus and a set of Pareto optimal designs are obtained. Furthermore, the framework extends the capabilities of OpenMDAO by including support for mixed-variable formulations and it supports an exploratory approach to design optimization.

Keywords

OptimisationMulti- / Cross- / Trans-disciplinary processesLarge-scale engineering systemsMobile Miners
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 2207 - 2216
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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