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An overlapped plane model and topology optimization for planar mechanism synthesis

机译:面向平面机构综合的重叠平面模型及拓扑优化

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摘要

In this paper, a model without domain discretization, and a new optimization formulation for given target paths, are proposed for planar mechanism synthesis based on topological optimization. The proposed model consists of overlapped planes and unified joints. The overlapped planes have the same size as the synthesis domain, and any two of these planes are connected with a unified joint. The unified joint parameterized by only one design variable can represent three states, namely disconnected, connected with prismatic joints, and connected with revolute joints. Compared to models in terms of discrete elements, the new model not only allows more possible connections between rigid bodies and thus expands solution space but also dras-tically reduces the number of design variables by removing redundant elements. In the proposed formula-tion, the number of unified joints is defined as a constraint instead of the target path error, which further reduces computational time but enhances the diversity of synthesized solutions. Three four-bar mechanisms synthesis problems are presented, where mechanisms of an oval-shaped path, 8-shaped path, and an irreg-ular path are respectively generated. As the fourth example, we synthesized several six-bar mechanisms for vehicle suspensions with small wheel alignment parameter variations. It is thus demonstrated that the pro-posed model and formulation are applicable and efficient to planar mechanism synthesis, and more mech-anisms can be generated to track the target paths.(c) 2023 Elsevier Ltd. All rights reserved.
机译:该文提出了一种无域离散化的模型,以及一种基于拓扑优化的平面机理合成的给定目标路径的优化公式。所提出的模型由重叠的平面和统一的节点组成。重叠的平面与合成域的大小相同,并且其中任意两个平面都通过统一的关节连接。仅由一个设计变量参数化的统一节点可以表示三种状态,即断开连接、与棱柱节连接和与旋转节点连接。与离散单元的模型相比,新模型不仅允许刚体之间更多可能的连接,从而扩展了求解空间,而且通过去除冗余单元大大减少了设计变量的数量。在所提公式中,将统一接头的数量定义为约束,而不是目标路径误差,这进一步减少了计算时间,但增强了合成解的多样性。提出了3个四杆机制合成问题,分别产生了椭圆形路径、8形路径和不规则路径的机制。作为第四个示例,我们综合了几种车轮定位参数变化较小的车辆悬架六杆机构。由此证明了所提出的模型和公式对平面机构合成具有适用性和高效性,并且可以生成更多的机械分析来跟踪目标路径。(c) 2023 爱思唯尔有限公司保留所有权利。

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