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.
KEYWORDS: Monte Carlo methods, Tolerancing, Oceanography, Manufacturing, Assembly tolerances, 3D modeling, Statistical analysis, Optical alignment, Error analysis, Analytical research
Modular shipbuilding can effectively shorten the cycle of construction and improve quality of the product, however stricter requirements of the accuracy control for product have been proposed at the same time. Taking a marine power shafting as an example, the influences of part manufacturing, positioning and matching errors on the axial and radial deviations of the stern and power shaft were studied based on 3DCS. The main factors affecting the assembly accuracy and their contribution were determined. It was found that the sealing device was the most influential factor for the deviation of stern and power shaft. The contribution of sealing device to the radial and axial deviation of stern shaft were 99.45% and 83.12% respectively, and to the radial and axial deviation of power shaft were 98.91% and 74.21% respectively. The research results would provide guidance for accuracy control of marine shafting modular construction.
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