Overview
- Reveals the evolution mechanism of droplets.
- Describes the collapse characteristics of bubbles in confined droplets.
- Explores the physical mechanism process of the bubble-droplet interaction.
Part of the book series: SpringerBriefs in Energy (BRIEFSENERGY)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This brief explores the pivotal realm of droplet cavitation, a subject of great significance for enhancing fuel atomization and improving various industrial processes. The authors employ high-speed photography experiments, analyze bubble dynamics equations, and utilize numerical simulations to explore the dynamic behavior of cavitation bubbles and droplets. The book analyzes the entire lifecycle of cavitation bubbles, their interactions with different liquid droplets, and the key parameters governing their oscillation and collapse and sheds light on the collapse mechanisms and shock wave propagation influenced by liquid droplets. Additionally, it investigates the dynamics of droplet spattering by categorizing spatter patterns under diverse conditions, discusses the critical stability of droplet surfaces, and reveals the mechanisms by which cavitation bubble collapses induce droplet breakage. Taking vapor bubbles and diesel droplets as examples, the dynamic characteristics of specific droplets containing bubbles are also analyzed. This book offers an in-depth understanding of these phenomena with practical implications for a wide range of industrial applications and is a useful tool for researchers and engineers working in the fields of fluid dynamics, combustion engineering, and atomization processes.
Authors and Affiliations
About the authors
Zhaohao Li received his doctor's degree from North China Electric Power University in June 2021. His research interest includes the collapse dynamics of the cavitation bubble within the droplet, the bubble jet, and the droplet splashing. He has published 30 journal papers in the fields of energy and fluid.
Xiaoyu Wang is currently a doctoral candidate at North China Electric Power University. His primary research interest is the cavitation and bubble dynamics, including bubble-particle interactions, bubble within droplets, and bubble-boundary interactions. He has published 20 papers in high-profile journals.
Junwei Shen is currently a doctoral candidate at North China Electric Power University. He mainly focuses on the cylindrical bubble within gaps based on Kelvin impulse theory and high-speed photography. He has published 9 journal papers such as Physics of Fluids.
Yuning Zhang is currently a professor at North China Electric Power University. His expertise is mainly the cavitation and bubble dynamics. He has published 1 monograph in Springer Press, 3 monograph book chapters, and more than 100 journal papers in leading journals e.g. Nature Communications, Energy, Renewable Energy, and Physics of Fluids. He was also selected into the “Top 2% scientists worldwide 2023” by Stanford University. As Chairman, he has hosted 3 international/national conferences on cavitation, energy, and vortex identification. In addition, he serves as an associate editor of IET Renewable Power Generation, the editorial board member of 4 journals.
Bibliographic Information
Book Title: Cavity Dynamics and Splashing Mechanism in Droplets
Authors: Zhaohao Li, Xiaoyu Wang, Junwei Shen, Yuning Zhang
Series Title: SpringerBriefs in Energy
DOI: https://doi.org/10.1007/978-3-031-54246-6
Publisher: Springer Cham
eBook Packages: Chemistry and Materials Science, Chemistry and Material Science (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Softcover ISBN: 978-3-031-54245-9Published: 29 February 2024
eBook ISBN: 978-3-031-54246-6Published: 28 February 2024
Series ISSN: 2191-5520
Series E-ISSN: 2191-5539
Edition Number: 1
Number of Pages: VIII, 86
Number of Illustrations: 16 b/w illustrations, 44 illustrations in colour
Topics: Industrial Chemistry/Chemical Engineering, Engineering Fluid Dynamics, Mathematical and Computational Engineering