Open Access Paper
12 November 2024 Optimization design of overall assembly tolerance for ships based on the Monte-Carlo method
Mengxin Yin, Changhua Gao, Fei Yang, Peng Yu, Lichao Wan
Author Affiliations +
Proceedings Volume 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) ; 133952Y (2024) https://doi.org/10.1117/12.3049324
Event: International Conference on Optics, Electronics, and Communication Engineering, 2024, Wuhan, China
Abstract
The assembly quality and assembly success rate of ships are crucial for meeting design specifications and operational performance. To improve shipbuilding efficiency and reduce construction costs, a Monte Carlo-based optimization design method for assembly tolerance of ships was proposed in the study, and then a related verification was carried out via a case. The proposed optimization design method was applied to the tolerance analysis of the assembly of marine pump equipment and its base. The analysis results were compared with the calculation results obtained through the extremum method and probability method. The results showed that the tolerance optimization design method allows for more lenient tolerance values for each component link compared to extremum method and probability method. Additionally, the assembly success rate could reach up to 99.89 % by adjusting the basic dimensions of component link A6 from the perspective of contribution rate. The optimization design method for the overall assembly tolerance of ships significantly improved the assembly success rate, highlighting its considerable potential for broader application.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Mengxin Yin, Changhua Gao, Fei Yang, Peng Yu, and Lichao Wan "Optimization design of overall assembly tolerance for ships based on the Monte-Carlo method", Proc. SPIE 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) , 133952Y (12 November 2024); https://doi.org/10.1117/12.3049324
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KEYWORDS
Assembly tolerances

Tolerancing

Design

Monte Carlo methods

Manufacturing

Statistical analysis

Deformation

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