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Experimental switching between coexisting attractors in the yoke-bell-clapper system
Tomasz Burzynski1, Przemyslaw Perlikowski1, Piotr Brzeski1
1Division of Dynamics, Lodz University of Technology, Stefanowskiego 1/15, 90-924 Lodz, Poland.
Researchers experimentally switched a swinging bell between two states: one with sound (impact) and one silent (no impact). They precisely timed external nudges to control the bell
Area of Science:
- Mechanical Engineering
- Nonlinear Dynamics
- Acoustics
Background:
- The yoke-bell-clapper system exhibits multistability, presenting two coexisting solutions.
- One solution involves a single impact per motion period, producing sound, while the other has no impacts and is silent.
- Understanding and controlling these states is crucial for engineering design.
Purpose of the Study:
- To experimentally demonstrate and control attractor switching in a real-world swinging bell system.
- To validate the effectiveness of the time-dependent stability margin method for predicting and inducing state changes.
- To address issues of incorrect operation (lack of impact) in mechanical systems.
Main Methods:
- Numerical analysis using the time-dependent stability margin method to identify sensitive regions of the system's trajectories.
- Experimental investigation involving targeted perturbations applied to the clapper at specific times.
- Real-world mechanical system analysis, avoiding idealized models.
Main Results:
- The time-dependent stability margin method successfully identified trajectories prone to perturbation.
- Experimental application of precisely timed perturbations effectively switched the system between the impact (sound) and no-impact (silent) attractors.
- The study confirmed the ability to transition the bell from incorrect (silent) to correct (impact) operation.
Conclusions:
- Precise timing of external perturbations allows for controlled switching between coexisting attractors in a multistable mechanical system.
- The time-dependent stability margin method is a valuable tool for analyzing and controlling complex nonlinear systems.
- This research contributes to the understanding of multistability in engineering design, particularly for systems previously considered simple.
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