论文部分内容阅读
基于特征的产品数据交换是协同产品开发过程中不可回避和尚未解决的关键问题,特别是奇异特征互操作问题.从几何数据交换和特征数据交换的原则性差异出发,提出一种非对称的奇异特征互操作方法,即基于源特征模型的底层几何信息,在目标系统中自动恢复出具有等价几何的目标模型的高层特征参数信息.针对一类由于草绘异构性带来的奇异特征互操作问题,提出基于拟合的样条元素互操作方法,建立了支持异构特征互操作的样条元素拟合的优化模型.结合几何计算的特点来引入粒子群优化求解算法,提出曲率自适应学习因子、定向变异策略以及吸收线策略,增强算法的全局收敛速度和全局搜索能力.实验结果表明该方法在对奇异特征进行特征数据交换时候的有效性,既可以维护奇异特征的几何相似度,又使得交换之后奇异特征具备基于特征的编辑、修改和重用的能力.
Feature-based product data exchange is an unavoidable and unsolved key issue in collaborative product development, especially the singular feature interoperability problem.Based on the principle difference between geometric data exchange and feature data exchange, an asymmetric singularity The method of feature interoperability, that is, based on the underlying geometric information of the source feature model, automatically retrieves the high-level feature parameter information of the target model with equivalent geometry in the target system.For a class of singular features caused by sketch heterogeneity Operation problem, the spline element interoperability method based on fitting is proposed, and an optimization model of spline element fitting supporting heterogeneous feature interoperation is established.According to the characteristics of geometric calculation, the particle swarm optimization algorithm is introduced and the algorithm of curvature adaptive Learning factor, directional mutation strategy and absorption line strategy to enhance the global convergence rate and global search ability of the algorithm.The experimental results show that the proposed method can effectively maintain the similarity of singular features, In turn, the exchange of strange features with feature-based editing, modification and weight Ability.