方雄兵. FORAN导出的JT模型特征节点合并算法[J]. 中国舰船研究, 2017, 12(3): 43-50, 148. DOI: 10.3969/j.issn.1673-3185.2017.03.007
引用本文: 方雄兵. FORAN导出的JT模型特征节点合并算法[J]. 中国舰船研究, 2017, 12(3): 43-50, 148. DOI: 10.3969/j.issn.1673-3185.2017.03.007
FANG Xiongbing. An algorithm for merging part nodes of JT models exported by FORAN[J]. Chinese Journal of Ship Research, 2017, 12(3): 43-50, 148. DOI: 10.3969/j.issn.1673-3185.2017.03.007
Citation: FANG Xiongbing. An algorithm for merging part nodes of JT models exported by FORAN[J]. Chinese Journal of Ship Research, 2017, 12(3): 43-50, 148. DOI: 10.3969/j.issn.1673-3185.2017.03.007

FORAN导出的JT模型特征节点合并算法

An algorithm for merging part nodes of JT models exported by FORAN

  • 摘要:
      目的  由于FORAN V70 R2.0(及以上版本)输出的JT模型中存在很多同名的特征节点,导致采用间隙分析软件对其进行分析时时间消耗加大且间隙分析结果难以处理。针对该问题,
      方法  在研究FORAN导出的JT文件装配结构和蕴含信息(几何信息、材料属性信息等)的基础上,提出一种特征节点合并算法。该算法由坐标变换、模型节点更名、节点几何数据移动和材料属性处理4个步骤构成。然后,利用C++及JT Open Toolkit实现所提出的算法。
      结果  结果显示,利用该算法处理后的JT模型只包含1个装配节点且保留了原始JT模型的内在信息,可为后期间隙分析提供有效的输入数据。
      结论  大量的实例验证了所提出算法的有效性,处理后的JT文件大小可减少7%~20%。

     

    Abstract: Many cognominal parts exist in JT models exported by FORAN V70 R2.0 software, and this leads to an increase in time consumption and the space analysis results becoming hard to process when using clearance analysis software to perform distance computing for such JT models. Aiming at this problem, an algorithm for merging component nodes is put forward based on investigating the assembly configuration and inherent information (i.e. geometric and material information) of JT models created by FORAN. The method is composed of four steps:coordinate transformation, model node renaming, node geometric data transferring and material attribute processing. Finally, the proposed method is implemented by C++ and JT Open Toolkit. The results show that the new JT models generated by the proposed method are comprised of only one assembly node, and they preserve the intrinsic information of the original JT models. Its validity is illustrated by a great deal of examples, and the content of the worked JT models are reduced by about 7% to 20%.

     

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