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    Topology Optimization of Compliant Grippers Based on Stress Constraints

    Source: Journal of Mechanisms and Robotics:;2024:;volume( 017 ):;issue: 006::page 61001-1
    Author:
    Du, Yunsong
    ,
    Zhang, Pengwei
    ,
    Li, Tiemin
    DOI: 10.1115/1.4067021
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a topology optimization method of compliant grippers considering stress constraints. The proportional topology optimization (PTO) algorithm is applied to the design of compliant grippers, and it is improved by introducing weight factors into the objective function and adding stress conditions on the basis of constraints. In the current gradient modeling of topology optimization, the global maximum stress is measured by P-norm function, and its sensitivity analysis of stress constraints is derived by adjoint equations. It is worth noting that more rigorous gradient calculations are employed in stress problems and their computation brings an additional computational burden. By contrast, the non-gradient method using PTO algorithm allocates design variables to the element proportionally according to the values of stress. It can eliminate difficulties in the analytical derivation and calculation of gradient, and improve the calculation efficiency. Subsequently, performances of compliant grippers generated by these two methods are compared through finite element analysis. Finally, the optimized compliant gripper prototype is manufactured by three-dimensional (3D) printing using flexible thermoplastic urethane. Experimental results indicate that the non-gradient method is effective, and the optimized compliant gripper has excellent characteristics of low stress and high output performance.
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      Topology Optimization of Compliant Grippers Based on Stress Constraints

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4308489
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    contributor authorDu, Yunsong
    contributor authorZhang, Pengwei
    contributor authorLi, Tiemin
    date accessioned2025-08-20T09:34:00Z
    date available2025-08-20T09:34:00Z
    date copyright11/22/2024 12:00:00 AM
    date issued2024
    identifier issn1942-4302
    identifier otherjmr_17_6_061001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4308489
    description abstractThis paper presents a topology optimization method of compliant grippers considering stress constraints. The proportional topology optimization (PTO) algorithm is applied to the design of compliant grippers, and it is improved by introducing weight factors into the objective function and adding stress conditions on the basis of constraints. In the current gradient modeling of topology optimization, the global maximum stress is measured by P-norm function, and its sensitivity analysis of stress constraints is derived by adjoint equations. It is worth noting that more rigorous gradient calculations are employed in stress problems and their computation brings an additional computational burden. By contrast, the non-gradient method using PTO algorithm allocates design variables to the element proportionally according to the values of stress. It can eliminate difficulties in the analytical derivation and calculation of gradient, and improve the calculation efficiency. Subsequently, performances of compliant grippers generated by these two methods are compared through finite element analysis. Finally, the optimized compliant gripper prototype is manufactured by three-dimensional (3D) printing using flexible thermoplastic urethane. Experimental results indicate that the non-gradient method is effective, and the optimized compliant gripper has excellent characteristics of low stress and high output performance.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleTopology Optimization of Compliant Grippers Based on Stress Constraints
    typeJournal Paper
    journal volume17
    journal issue6
    journal titleJournal of Mechanisms and Robotics
    identifier doi10.1115/1.4067021
    journal fristpage61001-1
    journal lastpage61001-14
    page14
    treeJournal of Mechanisms and Robotics:;2024:;volume( 017 ):;issue: 006
    contenttypeFulltext
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