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Efficient analysis of a deep-seabed integrated mining system using a subsystem synthesis method

Authors
Kim, S.-S.Yun, H.-S.Lee, C.-H.Kim, H.-W.Hong, S.
Issue Date
2015
Publisher
American Society of Mechanical Engineers (ASME)
Citation
Proceedings of the ASME Design Engineering Technical Conference, v.6
Journal Title
Proceedings of the ASME Design Engineering Technical Conference
Volume
6
URI
https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8645
DOI
10.1115/DETC2015-46700
ISSN
0000-0000
Abstract
A deep-seabed integrated mining system for collecting manganese nodules consists of a mining vessel, a vertical lifting pipe, a lifting pump, an intermediate buffer station, a flexible pipe, and a self-propelled mining robot. Manganese nodules collected by the mining robot are transferred to the buffer and then lifted up to the vessel. Dynamic analysis of such a system is a challenging task, since large displacements due to deformation must be considered in the very long lifting pipe and the flexible pipe system. Because non-linear effects must be considered in the modeling of the lifting pipe and the flexible pipe model, nodal coordinates must be used in the flexible multibody model. This requires a large amount of computational time for the dynamic analysis. Moreover, the concept of multiple mining robots was introduced recently, increasing the complexity. An efficient method for the dynamic analysis of the integrated mining system is necessary. In this study, to improve the efficiency of analysis, a subsystem synthesis method was developed for the deep-seabed integrated mining system which can also be extended to efficiently analyze multiple mining robots. Subsystem equations of motion were separately generated for the vessellifting pipe subsystem and the flexible pipe-mining robot subsystem. The efficiency of the subsystem synthesis method was verified theoretically by comparing arithmetic operational counts of the developed subsystem synthesis method with those of the conventional method. ? Copyright 2015 by ASME.
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