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Design and Optimization Strategies of a High-Performance Vented Box
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Comprehensive Performance-Oriented Multi-Objective Optimization of Hemispherical Resonator Structural Parameters.

Xiaohao Liu1, Xin Jin1, Chaojiang Li1

  • 1School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Micromachines
|March 27, 2025
PubMed
Summary
This summary is machine-generated.

This study optimizes hemispherical resonant gyroscope structural parameters for enhanced performance. The developed method significantly improves thermoelastic damping and frequency difference, boosting gyroscope accuracy and lifespan.

Keywords:
NSGA-IIPSO-BPhemispherical resonatormulti-objective optimizationthermoelastic damping quality factor

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Area of Science:

  • Mechanical Engineering
  • Materials Science
  • Physics

Background:

  • Hemispherical resonant gyroscopes are crucial for high-precision navigation in aviation and aerospace.
  • Resonator structural parameters directly impact gyroscope performance, affecting accuracy and lifespan.
  • Current research lacks clarity on the relationship between structural parameters and gyroscope performance.

Purpose of the Study:

  • To investigate the influence of structural parameters on hemispherical resonator performance.
  • To establish a mapping relationship between structural and performance parameters.
  • To optimize resonator design for improved thermoelastic damping and frequency difference.

Main Methods:

  • Developed a high-precision finite element simulation model of a hemispherical resonator.
  • Analyzed thermoelastic damping and structural parameter effects.
  • Utilized a Particle Swarm Optimization-Backpropagation (PSO-BP) neural network for parameter mapping.
  • Applied the Non-dominated Sorting Genetic Algorithm II (NSGA-II) for multi-objective optimization.

Main Results:

  • Achieved a 4.61% increase in the minimum frequency difference from interference modes.
  • Improved thermoelastic damping by approximately 70.41%.
  • Developed a comprehensive multi-objective optimization method for structural parameters.

Conclusions:

  • The proposed optimization method effectively enhances hemispherical resonator performance.
  • This approach offers a cost-effective strategy for high-performance gyroscope design.
  • The methodology can be adapted for optimization in other manufacturing processes.