<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In the recent paper, non-linear methods of data analysis were used to study bubble departure synchronisation. In the experiment, bubbles were generated in engine oils from two neighbouring brass nozzles (with an inner diameter of 1 mm). During the experiment, the time series of air pressure oscillations in the air supply system and voltage changes on phototransistor were recorded. The analysis of bubble departure synchronisation was performed using a correlation coefficient. The following methods of non-linear data analysis are considered. Fast Fourier Transformation, autocorrelation, attractor reconstruction, correlation dimension, largest Lyapunov exponent and recurrence plot analysis were used to examine the correlation between bubbles behaviour and character of pressure fluctuations. Non-linear analysis of bubble departure synchronisation revealed that the way of bubble departures from two neighbouring nozzles does not depend simply on the character of pressure fluctuations in the nozzle air supply systems. The chaotic changes of the air pressure oscillations do not always determine the chaotic bubble departures.</p></abstract>

In the recent paper, non-linear methods of data analysis were used to study bubble departure synchronisation. In the experiment, bubbles were generated in engine oils from two neighbouring brass nozzles (with an inner diameter of 1 mm). During the experiment, the time series of air pressure oscillations in the air supply system and voltage changes on phototransistor were recorded. The analysis of bubble departure synchronisation was performed using a correlation coefficient. The following methods of non-linear data analysis are considered. Fast Fourier Transformation, autocorrelation, attractor reconstruction, correlation dimension, largest Lyapunov exponent and recurrence plot analysis were used to examine the correlation between bubbles behaviour and character of pressure fluctuations. Non-linear analysis of bubble departure synchronisation revealed that the way of bubble departures from two neighbouring nozzles does not depend simply on the character of pressure fluctuations in the nozzle air supply systems. The chaotic changes of the air pressure oscillations do not always determine the chaotic bubble departures.

Non-Linear Analysis of Air Pressure Fluctuations During Bubble Departure Synchronisation

Acta Mechanica et Automatica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

In the recent paper, non-linear methods of data analysis were used to study bubble departure synchronisation. In the experiment, bubbles were generated in...

Non-Linear Analysis of Air Pressure Fluctuations During Bubble Departure Synchronisation

Online veröffentlicht: 05. Nov. 2019

Seitenbereich: 158 - 165

Eingereicht: 27. Mai 2019

Akzeptiert: 10. Sept. 2019

DOI: https://doi.org/10.2478/ama-2019-0021

Schlüsselwörter
Bubble Departures, Alternative Bubble Departures, Nonlinear Methods of Data Analysis

© 2019 Paweł Dzienis et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Non-Linear Analysis of Air Pressure Fluctuations During Bubble Departure Synchronisation

Online veröffentlicht: 05. Nov. 2019

Seitenbereich: 158 - 165

Eingereicht: 27. Mai 2019

Akzeptiert: 10. Sept. 2019

DOI: https://doi.org/10.2478/ama-2019-0021

SchlüsselwörterBubble Departures, Alternative Bubble Departures, Nonlinear Methods of Data Analysis

© 2019 Paweł Dzienis et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Bubble Departures, Alternative Bubble Departures, Nonlinear Methods of Data Analysis