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Benliang Zhu

Researcher at South China University of Technology

Publications -  93
Citations -  1617

Benliang Zhu is an academic researcher from South China University of Technology. The author has contributed to research in topics: Topology optimization & Compliant mechanism. The author has an hindex of 18, co-authored 76 publications receiving 987 citations. Previous affiliations of Benliang Zhu include Kyoto University & University of Oldenburg.

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Recent advances in non-contact force sensors used for micro/nano manipulation

TL;DR: In this paper, a review of non-contact micro-force sensor parts that can be integrated in a micro-nano manipulation system is presented, where the content involves the structure, working principle, resolution and sensitivity of different force sensor parts.
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Realtime in-plane displacements tracking of the precision positioning stage based on computer micro-vision

TL;DR: Experimental results demonstrate that the proposed micro-vision-based measurement method can effectively realize displacement measurement of the precision positioning stage at a frequency of hundreds Hertz with accuracy of nanometer degree.
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Level Set-Based Topology Optimization of Hinge-Free Compliant Mechanisms Using a Two-Step Elastic Modeling Method

TL;DR: An efficient algorithm is developed to solve the level set-based optimization problem for improving the computational efficiency of compliant mechanisms aimed at eliminating de facto hinges.
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Three-dimensional topology optimization of a fluid–structure system using body-fitted mesh adaption based on the level-set method

TL;DR: A new framework for the two- and three-dimensional topology optimization (TO) of the weakly-coupled fluid–structure system using a reaction–diffusion equation (RDE) for updating the level-set function based on the topological sensitivity.
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Design of fully decoupled compliant mechanisms with multiple degrees of freedom using topology optimization

TL;DR: A systematic method for designing fully decoupled compliant mechanisms with multiple degrees of freedom by using topology optimization and the SIMP and MMA methods are adopted to identify the optimized material distribution in the design domain.