用约简图矩阵辨识运动链的同构

Mohamed Aly Abdel Kader, A. Aannaque
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引用次数: 0

摘要

-运动链综合通常从生成一个全面的候选解列表开始,然后是一个耗时的同形消除过程。因此,寻找运动链的同构一直是许多研究者关注的问题。过去已经提出了几种方法和算法。尽管如此,该领域仍然需要快速、高效和可靠的方法来防止运动链(KC)(即同构)之间的重复,特别是对于具有大量杆的配置。机械设计师借助运动链和多杆机构来完成更复杂的操作和运动。这使确定同构的过程变得复杂。本文提出了一种简单有效的识别运动链同构的方法,该方法利用简化图矩阵将邻接矩阵简化为紧矩阵,并隐式地考虑了二杆之间的连杆关系。该算法的效率和计算复杂度在许多已发表的情况下进行了评估,包括8,10,12杆的单关节运动链,以及三复杂的13,15,28杆运动链,最后是42杆运动链。通过对比验证了所提方法的有效性。
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Identification of Isomorphism in Kinematic Chains by Using the Reduced Graph Matrix
—Kinematic chain synthesis normally begins with the generation of a comprehensive list of candidate solutions followed by a time-consuming procedure for isomorph elimination. As a result, the search for isomorphisms in kinematic chains has long attracted the attention of many researchers. Several methods and algorithms have been proposed in the past. Nonetheless, the field still needs fast, efficient and reliable means to prevent duplications across kinematic chains (KC) (i.e., isomorphisms), particularly for configurations with a significant number of bars. Mechanical designers are resorting to kinematic chains and mechanisms with multiple bars to accomplish more complex operations and movements. This complicates the procedure of determining isomorphism. In this paper, we present a simple and efficient method for identifying isomorphisms in kinematic chains by employing a reduced graph matrix, which reduces the adjacency matrix into a compact matrix corresponding to linkages between non-binary bars while implicitly accounting for binary bars. The algorithm’s efficiency and computing complexity are assessed for a number of published situations, including single-joint kinematic chains with 8, 10, 12 bars, and three-complex 13, 15, 28 bars, and lastly 42-bar kinematic chains. This comparison demonstrates the validity and effectiveness of the proposed method.
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
25
期刊介绍: International Journal of Mechanical Engineering and Robotics Research. IJMERR is a scholarly peer-reviewed international scientific journal published bimonthly, focusing on theories, systems, methods, algorithms and applications in mechanical engineering and robotics. It provides a high profile, leading edge forum for academic researchers, industrial professionals, engineers, consultants, managers, educators and policy makers working in the field to contribute and disseminate innovative new work on Mechanical Engineering and Robotics Research.
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