Research on Electro-Hydraulic Servo Resonance Technology.
Xiuguang Yang1,2, Peng Liu1, Hongwei Zhao1
1School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, China.
Sensors (Basel, Switzerland)
|June 27, 2024
Summary
This study introduces electro-hydraulic servo resonance technology for high-frequency sound fatigue testing of large tonnage loads. The new method enhances testing capabilities and provides theoretical support for equipment development.
Area of Science:
- Mechanical Engineering
- Vibration Analysis
- Material Science
Background:
- High-frequency sound fatigue testing requires specialized loading capabilities for large tonnage applications.
- Existing electro-hydraulic servo systems may not meet the demanding requirements for large-scale fatigue testing.
Purpose of the Study:
- To propose and validate an electro-hydraulic servo resonance technology for high-frequency sound fatigue testing of large tonnage specimens.
- To analyze the system dynamics and identify key parameters influencing resonance characteristics.
Main Methods:
- Analysis of static and dynamic loading structures in electro-hydraulic servo vibration systems.
- Establishment and simulation of the system's vibration equation.
- Modal and vibration characteristic analysis using simulation.
- Parametric study on factors affecting natural frequency and amplification coefficient.
Main Results:
- The proposed electro-hydraulic servo resonant loading technology is verified as feasible through simulation.
- Simulation results demonstrate the system's ability to meet high-frequency loading requirements.
- Analysis identified key parameters like sample stiffness and various mass/stiffness components influencing system dynamics.
Conclusions:
- The developed electro-hydraulic servo resonance technology offers a viable solution for large-tonnage, high-frequency sound fatigue testing.
- This research provides crucial theoretical support for the advancement of noise fatigue testing equipment.
- Understanding the influence of system parameters is essential for optimizing performance and reliability.
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