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Analysis and classification of droplet characteristics from atomizers using multifractal analysis
V Godavarthi1, K Dhivyaraja2, R I Sujith3
1Department of Aerospace Engineering, Indian Institute of Technology Madras, Chennai, 60036, India.
Scientific Reports
|November 9, 2019
Summary
Researchers developed a new method to identify atomizer types, like pressure swirl, airblast, and ultrasonic, using spray characteristics. This technique analyzes droplet behavior to classify atomizers, advancing fluid mechanics and spray analysis.
Area of Science:
- Fluid mechanics
- Nonlinear dynamics
- Spray physics
Background:
- Atomizers are crucial in agriculture, pharmaceutics, and combustion.
- Classifying atomizer types from spray characteristics remains a challenge.
Purpose of the Study:
- To develop a method for identifying atomizer classes based on spray characteristics.
- To quantify differences in spray complexity among different atomizer types.
Main Methods:
- Multifractal detrended fluctuation analysis (MF-DFA) applied to droplet inter-arrival times, diameters, and axial velocities.
- Analysis of sprays from pressure swirl, airblast, and ultrasonic atomizers.
Main Results:
- The width of the multifractal spectrum of droplet diameters and inter-arrival times at the spray edge robustly identifies atomizer types.
- Correlations were found among droplet diameters, challenging assumptions of randomness or log-normal distributions.
Conclusions:
- Spray complexity analysis using MF-DFA offers a robust method for atomizer classification.
- This approach can be extended to classify other fluid mechanical and biological spray systems.
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