Structural Synthesis of Platform Type Manipulators via Connection Based Adjacency Matrix: Topology Generation

M. Yazıcı, M. Koçak, Tuğrul Uslu, E. Gezgin
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Abstract

This paper focuses on the design procedures of Alizade's direct and Gezgin's inverse structural synthesis methodologies for platform type manipulators. These task based synthesis procedures includes versatile methodologies for any designer to generate various platform type manipulators with respect to given constraints via simple universal mobility formulation. However they rely on manual generation of mobility independent coarse topological structures, where it is nearly impossible to generate all possible results. In light of this, current study introduces a unique connection based adjacency matrix (CAM) for topology representation, in which legs connected to the fixed ground and platform connections (hinges and branches) are treated separately. The main objective of CAM is to ensure an efficient transition from manual topology generation to automated methods by providing compatibility with software algorithms to describe topologies. Throughout the paper CAM based automated topology generation algorithm that reveals all possible unique coarse topologies with respect to given design constraints is also presented along with examples. Introduced algorithm both allows investigation of isomorphism and eliminates necessity of inversion.
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通过基于连接的邻接矩阵合成平台型机械手的结构:拓扑生成
本文重点介绍 Alizade 的平台型机械手直接结构合成方法和 Gezgin 的平台型机械手反向结构合成方法的设计程序。这些基于任务的合成程序包括多功能方法,任何设计人员都可以通过简单的通用移动性表述,根据给定的约束条件生成各种平台型机械手。然而,这些方法依赖于手动生成与机动性无关的粗糙拓扑结构,几乎不可能生成所有可能的结果。有鉴于此,当前的研究引入了一种独特的基于连接的邻接矩阵(CAM)来表示拓扑结构,其中连接到固定地面的支腿和平台连接(铰链和分支)被分开处理。CAM 的主要目的是通过提供与描述拓扑的软件算法的兼容性,确保从手动拓扑生成到自动方法的高效过渡。本文还通过实例介绍了基于 CAM 的自动拓扑生成算法,该算法可根据给定的设计约束条件揭示所有可能的独特粗拓扑。所介绍的算法既可以研究同构性,又消除了反转的必要性。
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