Determination of droplet size from wide-angle light scattering image data using convolutional neural networks

Kirstein T, Aßmann S, Furat O, Will S, Schmidt V (2024)

Publication Type: Journal article

Publication year: 2024

Journal

Machine Learning: Science and Technology Institute of Physics Publishing (IOP)

Book Volume: 5

Article Number: 015049

Journal Issue: 1

DOI: 10.1088/2632-2153/ad2f53

Abstract

Wide-angle light scattering (WALS) offers the possibility of a highly temporally and spatially resolved measurement of droplets in spray-based methods for nanoparticle synthesis. The size of these droplets is a critical variable affecting the final properties of synthesized materials such as hetero-aggregates. However, conventional methods for determining droplet sizes from WALS image data are labor-intensive and may introduce biases, particularly when applied to complex systems like spray flame synthesis. To address these challenges, we introduce a fully automatic machine learning-based approach that employs convolutional neural networks (CNNs) in order to streamline the droplet sizing process. This CNN-based methodology offers further advantages: it requires few manual labels and can utilize transfer learning, making it a promising alternative to conventional methods, specifically with respect to efficiency. To evaluate the performance of our machine learning models, we consider WALS data from an ethanol spray flame process at various heights above burner surface, where the models are trained and cross-validated on a large dataset comprising nearly 35000 WALS images.

Authors with CRIS profile

Simon Aßmann Lehrstuhl für Technische Thermodynamik Stefan Will Lehrstuhl für Technische Thermodynamik

Involved external institutions

Universität Ulm DE Germany (DE)

How to cite

APA:

Kirstein, T., Aßmann, S., Furat, O., Will, S., & Schmidt, V. (2024). Determination of droplet size from wide-angle light scattering image data using convolutional neural networks. Machine Learning: Science and Technology, 5(1). https://dx.doi.org/10.1088/2632-2153/ad2f53

MLA:

Kirstein, Tom, et al. "Determination of droplet size from wide-angle light scattering image data using convolutional neural networks." Machine Learning: Science and Technology 5.1 (2024).

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