数控仿真系统复杂工件的切削算法
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摘要
针对实时仿真系统中因复杂工件模型顶点数增多而导致实时性降低这一问题,提出了1种基于包围盒及空间分割的复杂工件实时切削算法,将需要进行精确切削判断的顶点缩小到包围盒大小的局部区域,从而大幅减少对整个工件进行切削判断所消耗的时间。分别在真实机床与数控仿真系统中进行切削加工实验,并对真实的工件与虚拟模型进行对比。实验结果表明,本算法在提高实时性的同时,能够确保工件切削与真实加工结果保持一致。
A real-time cutting algorithm for complex work-piece based on bounding box and space segmentation is proposed.This algorithm aims to solve the real-time degradation problem due to the increase vertex number of complex work-piece.The vertices which need to be judged whether it is cut or not accurately is able to be reduced only in a small local area.Thus,the time for the judgment can be greatly reduced.Finally,the same numerical control codes have been programmed to control cutting in real machine tools and virtual system.Experimental results show that the algorithm in dealing with complex models cutting is able to accurately and quickly achieve the cutting judgment.
A real-time cutting algorithm for complex work-piece based on bounding box and space segmentation is proposed.This algorithm aims to solve the real-time degradation problem due to the increase vertex number of complex work-piece.The vertices which need to be judged whether it is cut or not accurately is able to be reduced only in a small local area.Thus,the time for the judgment can be greatly reduced.Finally,the same numerical control codes have been programmed to control cutting in real machine tools and virtual system.Experimental results show that the algorithm in dealing with complex models cutting is able to accurately and quickly achieve the cutting judgment.
引文
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[2]孙劲光,吴素红,周积林.基于形状分类的包围盒碰撞检测优化算法[J].计算机应用与软件,2016,33(2):242-245.SUN Jinguang,WU Suhong,ZHOU Jilin.Optimization algorithm for bounding box collision detection based on shape classification[J].Computer Applications and Software,2016,33(2):242-245.(in Chinese)
[3]李冉.基于包围盒的快速3D模型切割显示和标注算法[J].中国科技论文,2012,7(1):42-48.LI Ran.Bounding-box based fast cutaway and labeling of complex 3D models[J].China Sciencepaper,2012,7(1):42-48.(in Chinese)
[4]唐勇,冯立颖,吕梦雅.基于轴向包围盒碰撞检测算法的改进[J].系统仿真学报,2009,21(1):157-160.TANG Yong,FENG Liying,LMengya.Mended collision detection algorithm based on axis-aligned bounding box[J].Journal of System Simulation,2009,21(1):157-160.(in Chinese)
[5]胡咏梅.基于层次包围盒的混合碰撞检测算法[J].计算机工程与科学,2012,34(6):127-130.HU Yongmei.A hybrid collision detection algorithm based on bounding volume hierarchy[J].Computer Engineering&Science,2012,34(6):127-130.(in Chinese)
[6]HU Songhua,YU Lizhen.Optimization of Collision Detection Algorithm based on OBB[C]//2010International Conference on Measuring Technology and Mechatronics Automation(ICMTMA).[S.l.:s.n.],2010:853-855.
[7]赵伟,何艳爽.一种快速的基于并行的碰撞检测算法[J].吉林大学学报(工学版),2008,34(2):152-157.ZHAO Wei,HE Yanshuang.Rapid algorithm for parallel collision detection[J].Journal of Jilin University(Engineering and Technology Edition),2008,34(2):152-157.(in Chinese)
[8]WANG Xiaorong,WANG Meng,LI Chungui.Research on collision detection algorithm based on AABB[C]//Fifth International Conference on Natural Computation 2009.[S.l.:s.n.],2009:422-424.
[9]吴峰,于东,张晓辉,等.数控机床实时碰撞检测算法的研究与实现[J].组合机床与自动化加工技术,2011,454(12):49-56.WU Feng,YU Dong,ZHANG Xiaohui,et al.Research of CNC real-time collision detection method[J].Modular Machine Tool&Automatic Manufacturing Technique,2011,454(12):49-56.(in Chinese)
[10]姜波.基于k-DOPs包围盒碰撞检测算法的改进[J].燕山大学学报,2008,32(4):84-89.JIANG Bo.A mended collision detection algorithm based on k-DOPs[J].Journal of Yanshan University,2008,32(4):84-89.(in Chinese)
[11]LIU Zhiliang,ZHANG Desheng.The collision detection algorithm based on bounding volumes and space subdivision[C]//2011International Conference on Image Analysis and Signal Processing(IASP).[S.l.:s.n.],2011:302-304.
[12]印桂生,王海玲,张菁,等.快速高效的碰撞检测算法[J].上海交通大学学报,2012,46(6):962-966.YIN Guisheng,WANG Hailing,ZHANG Jing,et al.Fast efficient collision detection[J].Journal of Shanghai Jiaotong University,2012,46(6):962-966.(in Chinese)