锻压技术

汽车覆盖件模面工程中复杂圆角建模算法

英文标题：Modeling algorithm on complex fillets in die surface engineering of automobile covering panels

作者：张阿飞柳玉起章志兵王振

单位：华中科技大学

分类号：TG386.3；TP319

出版年,卷(期):页码：2023,48(9):41-48

摘要：

现有圆角建模算法的建模场景单一，且在复杂区域建模时稳定性低、建模曲面质量差，影响模面的设计效率和整体质量。因此，有必要研究一种高效、稳定的圆角建模算法，以提高设计质量、缩短研发周期。提出一种基于截面线倒圆的复杂圆角建模算法，实现了自由圆角面的稳定创建和灵活编辑。此算法将复杂的面倒圆转化为截面线倒圆，显著降低了算法的复杂度。通过截面线干涉检查算法，对截面线自相交区域进行查找及重构，保证了所构建圆角的稳定性及质量。基于NX平台的自定义对象技术，开发了圆角建模功能，实现了圆角曲面的高效创建和稳定更新。实际汽车覆盖件模型测试结果证明，所提算法稳定可靠、编辑效率高、适应场景丰富，可有效提高设计人员的效率，缩短产品研发周期。

The existing fillet modeling algorithms are suitable for a single scene, and when modeling in complex areas, there are problems of low stability and poor modeling surface quality, which affects the design efficiency and overall quality of die surface. So it is necessary to study an efficient and stable fillet modeling algorithm to improve the design quality and shorten the development cycle. Therefore, a complex fillet modeling algorithm based on section curve rounding was proposed to achieve the stable creation and flexible editing of free fillet surface, and the algorithm converted the complex surface rounding into the section curve rounding, which significantly reduced the complexity of the algorithm. Then, through the section curve interference inspection algorithm, the self-intersection areas of section curve were searched and reconstructed to ensure the stability and quality of the constructed fillet. Furthermore, based on the custom object technology of NX platform, the fillet modeling function was developed, which realized the high efficient creation and stable updating of the fillet surface. The results of the actual automobile covering panel model test prove that the proposed algorithm is stable and reliable, with high editing efficiency and rich adaptation scenarios, which effectively improves the efficiency of designers and shortens the product development cycle.

基金项目：

广东省重点领域研发计划资助项目(2021B0101220001)

作者简介：张阿飞(1997-),男,硕士研究生 E-mail：m202070965@hust.edu.cn 通信作者：章志兵(1978-),男,博士,副教授 E-mail：zhangzb@hust.edu.cn

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