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Synchronization modes of triple flickering buoyant diffusion flames: Experimental identification and model
Yicheng Chi1, Zeying Hu1, Tao Yang2
1Department of Mechanical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.
Physical Review. E
|March 16, 2024
Summary
Researchers studied synchronization modes in three identical flickering diffusion flames. A complexified Stuart-Landau model successfully explained all observed modes, including amplitude death, offering new insights into nonlinear dynamical systems.
Area of Science:
- Nonlinear Dynamics
- Fluid Dynamics
- Complex Systems
Background:
- Synchronization phenomena are crucial in coupled nonlinear oscillator systems.
- Buoyant diffusion flames exhibit complex dynamics that can be synchronized.
- Understanding synchronization modes is key to controlling complex systems.
Purpose of the Study:
- To experimentally and theoretically investigate the synchronization modes of three identical flickering buoyant diffusion flames.
- To identify and interpret various observed synchronization patterns.
- To evaluate the efficacy of different theoretical models in explaining these modes.
Main Methods:
- Experimental observation of flame synchronization by adjusting flame distance and fuel flow rates.
- Theoretical modeling using the classical Kuramoto model.
- Theoretical modeling using a novel complexified Stuart-Landau model with a complex coupling term.
Main Results:
- Five distinct synchronization modes were experimentally identified: in-phase, flickering death, partially flickering death, partially in-phase, and rotation.
- The classical Kuramoto model explained most modes but failed to capture amplitude death phenomena.
- The complexified Stuart-Landau model accurately interpreted all experimentally observed synchronization modes, including amplitude death.
Conclusions:
- The complexified Stuart-Landau model provides a superior framework for understanding synchronization in globally coupled nonlinear systems with identical oscillators.
- This model offers a new pathway for investigating complex dynamics, particularly the amplitude death mode.
- The study highlights the importance of advanced modeling techniques for capturing intricate behaviors in physical systems.
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