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图学学报

• 专论:第12届中国计算机图形学大会 (CHINAGRAPH 广州) • 上一篇    下一篇

基于碰撞检测强化的实时爆炸视图自动生成算法研究

  

  1. 长安大学信息工程学院,陕西 西安 710064
  • 出版日期:2019-04-30 发布日期:2019-05-10
  • 基金资助:
    中央高校基本科研业务费专项资金(310824173401)

Real-Time Automatic Generation Algorithm of Exploded View with  Collision Detection Enhancement

  1. School of Information Engineering, Chang’an University, Xi’an Shaanxi 710064, China
  • Online:2019-04-30 Published:2019-05-10

摘要:

爆炸视图在机械设计和装配实践中有着广泛的应用,可帮助人们直观地理解机械 结构和装配关系。为解决仿真中的干涉问题,提出一种基于碰撞检测强化的实时爆炸视图自动 生成算法。首先,构建各机械零件的方向包围盒,根据包围盒的大小和位置偏差决定零件的分 离次序和方向,构造爆炸分离模型。其次,基于真实世界物体互斥属性,对装配的零部件进行 实时碰撞检测,借助碰撞响应推动各部件进行进一步分离。该方法简单易实现,保证了零部件 之间的合理移动,同时避免穿透现象的发生。实验充分验证了算法可行性和通用性。

关键词: 爆炸视图, 方向包围盒, 碰撞检测, 空间分离

Abstract: Exploded view has been widely applied in mechanical design and assembly practice, facilitating the understanding of the mechanical structure and assembly relationship visually. To solve the interference problem in simulation, this paper presents an automatic exploded view generation algorithm enhanced by collision detection. Firstly, according to the size and position deviation of the bounding boxes, the sequence and direction of explosion is calculated to conduct the initial separation. Secondly, based on the mutual exclusion properties of objects, the real-time collision detection is done to further separate exploded parts to enhance the exploded view effect with physics effects. The method is easy to implement, allows for reasonable movement between parts and avoids potential penetrations. The experiments have verified our method’s feasibility and universality.

Key words: exploded view, oriented bounding box, collision detection, spatial separation