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A Novel Model to Simulate Flexural Complements in Compliant Sensor Systems.

Hongyan Tang1,2, Dan Zhang3,4, Sheng Guo5

  • 1School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China. 14116352@bjtu.edu.cn.

Sensors (Basel, Switzerland)
|March 30, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces the spline pseudo-rigid-body model (PRBM) to accurately simulate large deformations in compliant sensor systems. This new model enhances the design and simulation of flexural force sensors.

Keywords:
compliant mechanismsdynamic spline pseudo-rigid-body modelflexural beamforce sensorlarge deflection

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Area of Science:

  • Mechanical Engineering
  • Robotics
  • Sensor Technology

Background:

  • Analyzing compliant sensor systems presents challenges in calculating large deformations.
  • Existing models may not fully capture the nonlinear compliance of flexural components.

Purpose of the Study:

  • To propose and validate a novel model for simulating large deformations in flexural complements.
  • To enhance the design and simulation capabilities for flexural force sensors.

Main Methods:

  • Developed the spline pseudo-rigid-body model (PRBM) by integrating dynamic spline with the pseudo-rigid-body model.
  • Modeled axial deformations using dynamic spline with four control points to account for nonlinear compliance.
  • Represented flexural complements with rigid rods, revolute pins, and torsion springs, described by Lagrange equations.

Main Results:

  • The spline PRBM effectively models nonlinear compliance in flexural systems.
  • Optimization and numerical fitting methods were employed to determine model parameters.
  • Validation using a compliant mechanism demonstrated improved model accuracy.

Conclusions:

  • The spline PRBM offers a robust method for simulating large deformations in compliant systems.
  • This model expands the applicability of the pseudo-rigid-body model (PRBM) in flexural force sensor design.
  • The developed model facilitates more accurate simulation and design of compliant sensor systems.