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Author:

Li, Min (Li, Min.) | Huang, Jiyuan (Huang, Jiyuan.) | Li, Songhao (Li, Songhao.) | Peng, Moxuan (Peng, Moxuan.) | Yan, Zhihong (Yan, Zhihong.) | Song, Qiheng (Song, Qiheng.)

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EI Scopus

Abstract:

The process of shot blasting and sandblasting is a crucial step before the coating of ship surfaces, as the quality of this treatment affects the adhesion and service life of the applied paint. In this paper, we have developed a machine vision inspection system for evaluating the quality of shot blasting and sandblasting on ship surfaces, enabling the acquisition of 3D microscopic surface topography under real operating conditions. Based on this, we have investigated the relationship between surface preparation techniques and the quality of the treatment, as well as the correlation between surface preparation quality and coating performance. Furthermore, we have established corresponding models to facilitate the control of shot blasting and sandblasting quality and optimize the associated processes. © Published under licence by IOP Publishing Ltd.

Keyword:

Blasting Ships Coatings Optimization

Author Community:

  • [ 1 ] [Li, Min]Beijing Research Institute of Automation for Machinery Industry Co. Ltd., NERC-MA, Beijing, China
  • [ 2 ] [Huang, Jiyuan]Beijing Research Institute of Automation for Machinery Industry Co. Ltd., NERC-MA, Beijing, China
  • [ 3 ] [Li, Songhao]Beijing University of Technology, Faculty of Materials and Manufacturing, Beijing, China
  • [ 4 ] [Peng, Moxuan]Beijing University of Technology, Faculty of Materials and Manufacturing, Beijing, China
  • [ 5 ] [Yan, Zhihong]Beijing University of Technology, Faculty of Materials and Manufacturing, Beijing, China
  • [ 6 ] [Song, Qiheng]Beijing Research Institute of Automation for Machinery Industry, NERC-MA, Beijing, China

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ISSN: 1742-6588

Year: 2024

Issue: 1

Volume: 2775

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 14

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