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    Topology Optimization of Compliant Mechanisms Using Hybrid Discretization Model

    Source: Journal of Mechanical Design:;2010:;volume( 132 ):;issue: 011::page 111003
    Author:
    Hong Zhou
    DOI: 10.1115/1.4002663
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The hybrid discretization model for topology optimization of compliant mechanisms is introduced in this paper. The design domain is discretized into quadrilateral design cells. Each design cell is further subdivided into triangular analysis cells. This hybrid discretization model allows any two contiguous design cells to be connected by four triangular analysis cells whether they are in the horizontal, vertical, or diagonal direction. Topological anomalies such as checkerboard patterns, diagonal element chains, and de facto hinges are completely eliminated. In the proposed topology optimization method, design variables are all binary, and every analysis cell is either solid or void to prevent the gray cell problem that is usually caused by intermediate material states. Stress constraint is directly imposed on each analysis cell to make the synthesized compliant mechanism safe. Genetic algorithm is used to search the optimum and to avoid the need to choose the initial guess solution and conduct sensitivity analysis. The obtained topology solutions have no point connection, unsmooth boundary, and zigzag member. No post-processing is needed for topology uncertainty caused by point connection or a gray cell. The introduced hybrid discretization model and the proposed topology optimization procedure are illustrated by two classical synthesis examples of compliant mechanisms.
    keyword(s): Design , Optimization AND Topology ,
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      Topology Optimization of Compliant Mechanisms Using Hybrid Discretization Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/144127
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    contributor authorHong Zhou
    date accessioned2017-05-09T00:39:29Z
    date available2017-05-09T00:39:29Z
    date copyrightNovember, 2010
    date issued2010
    identifier issn1050-0472
    identifier otherJMDEDB-27934#111003_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/144127
    description abstractThe hybrid discretization model for topology optimization of compliant mechanisms is introduced in this paper. The design domain is discretized into quadrilateral design cells. Each design cell is further subdivided into triangular analysis cells. This hybrid discretization model allows any two contiguous design cells to be connected by four triangular analysis cells whether they are in the horizontal, vertical, or diagonal direction. Topological anomalies such as checkerboard patterns, diagonal element chains, and de facto hinges are completely eliminated. In the proposed topology optimization method, design variables are all binary, and every analysis cell is either solid or void to prevent the gray cell problem that is usually caused by intermediate material states. Stress constraint is directly imposed on each analysis cell to make the synthesized compliant mechanism safe. Genetic algorithm is used to search the optimum and to avoid the need to choose the initial guess solution and conduct sensitivity analysis. The obtained topology solutions have no point connection, unsmooth boundary, and zigzag member. No post-processing is needed for topology uncertainty caused by point connection or a gray cell. The introduced hybrid discretization model and the proposed topology optimization procedure are illustrated by two classical synthesis examples of compliant mechanisms.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleTopology Optimization of Compliant Mechanisms Using Hybrid Discretization Model
    typeJournal Paper
    journal volume132
    journal issue11
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.4002663
    journal fristpage111003
    identifier eissn1528-9001
    keywordsDesign
    keywordsOptimization AND Topology
    treeJournal of Mechanical Design:;2010:;volume( 132 ):;issue: 011
    contenttypeFulltext
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