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Published on: July 14, 2021
Design, Optimization, and Realization of a Magnetic Multi-Layer Quasi-Zero-Stiffness Isolation Platform Supporting
Shuaijie Yang1, Xiuting Sun1, Jiawei Qian1
1School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, China.
This study introduces a Multi-layer Quasi-Zero-Stiffness (ML-QZS) platform for advanced vibration isolation. It effectively handles variable loads in large-amplitude, low-frequency environments using magnetic negative-stiffness.
Area of Science:
- Mechanical Engineering
- Materials Science
- Physics
Background:
- Vibration isolation is crucial for sensitive equipment operating in dynamic environments.
- Traditional isolation systems struggle with variable loads and large-amplitude, low-frequency vibrations.
- Achieving both effective isolation and rapid settling time often presents conflicting design challenges.
Purpose of the Study:
- To develop a Multi-layer Quasi-Zero-Stiffness (ML-QZS) vibration isolation platform.
- To enable effective isolation for variable loads across a wide range of amplitudes and low frequencies.
- To optimize dynamic performance, balancing transient response and steady-state isolation.
Main Methods:
- Design of an ML-QZS platform utilizing multi-layer permanent magnets to create discontinuous negative-stiffness regions.
- Application of a bi-objective Pareto optimization criterion to balance transient vibration and displacement transmissibility.
- Experimental validation of the platform's design principles and optimization strategies.
Main Results:
- Demonstration of a wide Quasi-Zero-Stiffness (QZS) range suitable for diverse load conditions.
- Successful coordination of vibration transient times and significant isolation effectiveness through optimization.
- Experimental verification of the multi-layer magnetic ring construction and parameter optimization.
Conclusions:
- The developed ML-QZS platform offers advanced nonlinear isolation for variable loads in challenging dynamic environments.
- The proposed optimization method effectively balances competing dynamic performance metrics.
- Provides significant theoretical and experimental guidance for practical engineering applications in vibration isolation.
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