Title: Research on modular design and manufacturing of ship anchor winch structure under artificial intelligence optimisation

Authors: Can Wu; Shuguang Wang; Jinjun Long; Qiang Liu

Addresses: Department of Naval Architecture & Ocean Engineering, Jiangsu Shipping College, Nantong, Jiangsu Province, China ' Hull Structure Department, Jiangnan Institute of Technology, Jiangnan Shipyard (Group) Co. Ltd., Changxing Island, Shanghai, China ' Department of Naval Architecture & Ocean Engineering, Jiangsu Shipping College, Nantong, Jiangsu Province, China ' Department of Naval Architecture & Ocean Engineering, Jiangsu Shipping College, Nantong, Jiangsu Province, China

Abstract: The normal operation of the anchor winch ensures the safe and stable operation of the ship. It is mainly used for the operation of ship anchoring, anchoring and berthing. The design and manufacture of traditional anchor winch has significant problems of high cost and low efficiency, which cannot meet the development needs of modern shipbuilding industry. This research introduces the concept of modular design, and determines the division of different modules by combining the artificial intelligence method of fuzzy clustering. According to the specific working principle of ship anchor winch, the parameters of each stage in the operation process of anchor winch are calculated respectively, and the overall structure design of anchor winch is completed. Finally, 1020 anchor winch is selected for specific application analysis, and the basic design parameters and main module design parameters of anchor winch are calculated by modular design method. Finally, the number of outfitting is 1600, the anchoring depth is h < 82.5 m, and the coaxial bedroom single side double drum design is adopted.

Keywords: ship; anchor winch; modularisation; artificial intelligence; cluster analysis.

DOI: 10.1504/IJWMC.2022.123315

International Journal of Wireless and Mobile Computing, 2022 Vol.22 No.2, pp.148 - 156

Received: 10 Nov 2021
Accepted: 25 Jan 2022
Published online: 08 Jun 2022 *

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