2019
DOI: 10.1017/s0263574719000018
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Topology and Size–Shape Optimization of an Adaptive Compliant Gripper with High Mechanical Advantage for Grasping Irregular Objects

Abstract: SummaryThis study presents an optimal design procedure including topology optimization and size–shape optimization methods to maximize mechanical advantage (which is defined as the ratio of output force to input force) of the synthesized compliant mechanism. The formulation of the topology optimization method to design compliant mechanisms with multiple output ports is presented. The topology-optimized result is used as the initial design domain for subsequent size–shape optimization process. The proposed opti… Show more

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Cited by 39 publications
(29 citation statements)
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References 51 publications
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“…In conclusion, the results show that unlike some existing grippers, e.g. [25], the presented novel soft robotic compliant two-finger gripper realizes:…”
Section: Summarized Gripper Characteristicsmentioning
confidence: 72%
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“…In conclusion, the results show that unlike some existing grippers, e.g. [25], the presented novel soft robotic compliant two-finger gripper realizes:…”
Section: Summarized Gripper Characteristicsmentioning
confidence: 72%
“…More recently, optimally designed monolithic two-finger grippers made of hyperelastic elastomer material are developed with respect to an improved motion [88] or force transmission [25]. However, the presented approaches are not able to design gripper structures with a good trade-off between a high motion and force transmission.…”
Section: Related Workmentioning
confidence: 99%
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“…29 The algorithms of topology optimization methods are extensively investigated in the literature over the past several decades [29][30][31][32][33] and have been used in developing various soft robotic grippers. [8][9][10][11]14,16,17,20,[34][35][36][37] For example, Wang et al 10 developed a cable-driven two-finger soft gripper with multiple input ports; a topology optimization method is used to synthesize the compliant finger considering multiple working conditions. A three-finger cable-driven soft robotic gripper presented by Chen et al 35 is prototyped with a 3Dprinted TPE and can be used to grip objects up to 1 kg.…”
Section: Introductionmentioning
confidence: 99%
“…In the following, it is exa In the context of the multi-objective design optimization of gripping systems, various approaches can be found in literature. In [14], a combination of the augmented Lagrange multiplier and the simplex method is applied for optimizing the topology and size-shape of an adaptive compliant gripper. Grasp configuration planning for an underactuated three-fingered robot hand is realized via artificial neural networks in [15].…”
Section: Introductionmentioning
confidence: 99%