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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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