Skip to main navigation Skip to search Skip to main content

Optimal design of a hybrid compliant mechanism considering the dynamic behavior of membrane-loaded

  • Yu Zheng
  • , Jianjun Liu
  • , Qiannan Tao
  • , Chenhan Guang*
  • , Yang Yang
  • , Jingjun Yu
  • *Corresponding author for this work
  • Nanjing University of Posts and Telecommunications
  • Beihang University
  • North China University of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Hybrid compliant mechanism (HCM), a kind of ophthalmic robot, offers a potential way to suppress the fluctuation force in continuous curvilinear capsulorhexis. The fluctuation force is caused by the involuntary interaction between forceps and the grasped membrane. The HCM is expected to control the fluctuation force for all types of grasped membrane, regardless of their lengths (1–7 mm), widths (1–3 mm), Young’s modules (2–3.4 MPa), and driving frequencies (8–12 Hz). This paper aims to optimize the HCM’s performance while taking the dynamic response of the grasped membrane into account. A five-chain HCM with force-sensing forceps is proposed, along with a pseudo-rigid body model. Then, the dynamic interaction model between HCM and membrane loaded is developed. Next, analyze the effect of HCM and membrane parameters on the interaction force, and optimize the HCM. The optimization results are verified through experiments, in which polydimethylsiloxane (PDMS) is used as membrane-loaded. In experiments, the maximum interaction force is 4.26 mN (x, 10 Hz)/3.73 mN (y, 10 Hz) when the length, Young’s module, and width of the membrane are 8 mm, 2 MPa, and 1 mm, respectively.

Original languageEnglish
Pages (from-to)2061-2078
Number of pages18
JournalNonlinear Dynamics
Volume113
Issue number3
DOIs
StatePublished - Feb 2025

Keywords

  • Continuous curvilinear capsulorhexis
  • Dynamic optimization
  • Hybrid compliant mechanism
  • Membrane-loaded

Fingerprint

Dive into the research topics of 'Optimal design of a hybrid compliant mechanism considering the dynamic behavior of membrane-loaded'. Together they form a unique fingerprint.

Cite this