基于CATIA的电子样机零件可达性及拆卸路径规划研究

发布时间：2018-05-13 01:31

本文选题：维修性 + CATIA　；参考：《燕山大学》2013年硕士论文

【摘要】：维修性核查是机械产品设计过程中的重要环节。核查的目的是确保机械系统内各零部件均具有良好的可维修性。目前，核查工作通常由机械产品的总设计单位组织技术人员，对电子样机进行人工估计的方法来实施。在核查过程中，核查人员主要靠经验来确定机械系统中各零部件的可维修性。当机械系统精密而复杂时，不但对核查人员的经验丰富程度要有很高的要求，更需要较长的工作周期。这样，核查的准确度难以控制，而且核查效率也很低。为了提高核查准确度及效率，本文对采用基于虚拟现实技术的机械系统电子样机维修性核查方法进行了探索性的研究。本文以基于CATIA电子样机设计平台的电子样机为例，以VisualBasic语言作为CAITA平台的二次开发语言，对电子样机的视觉可达、空间可达以及零部件拆卸路径规划进行了研究。采用在视觉观察点和被核查零件轮廓点之间构建虚拟光线的方法，对被核查零部件是否可视以及可视面积计算方法进行了研究；根据CATIA平台下虚拟人的运动及碰撞检测特征，研究了一种新的、具有较高效率的虚拟人手臂姿态控制方法来解决机械零部件的空间可达性核查问题；根据快速扩展随机树算法的特点以及本课题的研究内容，对快速扩展随机树方法进行改进，，并应用该方法来解决电子样机内零部件拆卸路径规划问题。最后，通过对机械产品电子样机的分析实验来验证本文所研究方法的有效性。
[Abstract]:Maintainability verification is an important link in the process of mechanical product design. The purpose of verification is to ensure that all parts in the mechanical system have good maintainability. At present, the verification work is usually carried out by the technical personnel organized by the general design unit of the mechanical product, and the manual estimation of the electronic prototype is carried out. In the verification process, the inspectors mainly rely on experience to determine the maintainability of each component in the mechanical system. When the mechanical system is precise and complex, it not only requires a high degree of experience for the inspectors, but also requires a long working cycle. In this way, the accuracy of verification is difficult to control, and the efficiency of verification is very low. In order to improve the accuracy and efficiency of verification, the maintainability verification method of mechanical system electronic prototype based on virtual reality technology is studied in this paper. Taking the electronic prototype based on CATIA electronic prototype as an example and VisualBasic as the secondary development language of CAITA platform, the visual accessibility, spatial accessibility and disassembly path planning of electronic prototype are studied in this paper. The method of constructing virtual light between the visual observation point and the contours of the verified parts is used to study the visual and visual area calculation method of the verified parts, according to the motion and collision detection features of the virtual human under the CATIA platform. In this paper, a new and efficient attitude control method for virtual human arm is studied to solve the problem of spatial reachability verification of mechanical parts, according to the characteristics of fast extended random tree algorithm and the research content of this subject. The fast extended random tree method is improved and applied to solve the problem of disassembly path planning in electronic prototype. Finally, the effectiveness of the proposed method is verified by the analysis of the electronic prototype of mechanical products.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP391.9;TH12

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