Automatic recognition of hull transverse sections and rapid finite element modelling for cargo hold longitudinal structures

Wei Lin, Gongquan Zhu, Youhong Tang, Chengbi Zhao, Xu Liu, Chuan Wang, Ang Qiu

    Research output: Contribution to journalArticle

    3 Citations (Scopus)

    Abstract

    For rapid modelling of ship structure and sharing of product data for a computer-integrated manufacturing system in shipbuilding, this research proposes a data exchange method between two-dimensional drawings and three-dimensional finite element models. The report of the research is followed by appropriately planning the structure of the extracted data based on the Standard for the Exchange of Product Model Data. A set of rules for two-dimensional feature recognition is established, and then the method for the extraction of graphic and non-graphic design information from two-dimensional drawings of transverse sections is presented. An algorithm for rapid modelling of the longitudinal hull structure is proposed, based on data extracted from the transverse sections. This algorithm bypasses the geometric modelling stage required in traditional manual modelling, exclusively making use of the extracted information. The proposal also enriches data exchange, greatly reduces human error in modelling and consequently improves the accuracy of the finite element modelling for the shipbuilding industry.

    Original languageEnglish
    Pages (from-to)157-173
    Number of pages17
    JournalProceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment
    Volume229
    Issue number2
    DOIs
    Publication statusPublished - 5 May 2015

    Keywords

    • automatic recognition
    • cross-sectional discreteness
    • data structure
    • Feature reorganisation
    • rapid modelling method

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