Impact Dynamics of Surfactant-Laden Droplets: Hydrophobic Chain Lengths Effects

Understanding the behavior of surfactant-laden droplets impacting superhydrophobic surfaces is critical for various industrial applications. However, the influence of surfactant hydrophobic chain lengths (HCLs), which affect the diffusion coefficient of surfactants, on impact dynamics and predictive model for the maximum spreading diameter of surfactant droplets impacting superhydrophobic surfaces remain poorly understood, particularly under varying Weber numbers (We) and concentrations. This study experimentally investigates the impact dynamic of surfactant-loaded droplets with differing HCLs, focusing on their spreading, maximum spreading diameter, retraction, and oscillation behaviors. A key finding is that surfactants primarily enhance droplet deposition by inhibiting retraction stage. The deposition-enhancing effect exhibits an initial increase and subsequent decrease with increasing HCLs, governed by the interplay between dynamic surface tension, diffusion coefficient, and viscosity. Additionally, moderate increases in We favor droplet deposition and enhanced damping effect for surfactant-laden droplets impacting superhydrophobic surfaces. Finally, introducing the diffusion coefficient of surfactant through the Peclet number creates a generalized model to accurately predict the maximum spreading diameter of different surfactant droplets impacting superhydrophobic surfaces in varying impact velocities. This can be expressed as follows: βmax = 0.55Pe–0.017Re0.0679We0.246. These insights offer a deeper understanding of surfactant-laden droplet behavior on superhydrophobic surfaces and provide strategies for optimizing deposition in practical applications.

Authors

Institutions

Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2025-05-19
DOI
https://doi.org/10.1021/acs.iecr.5c00717
Citations
2
Primary Topic
Fluid Dynamics and Heat Transfer
Type
article
Field-Weighted Citation Impact
2.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact Dynamics of Surfactant-Laden Droplets: Hydrophobic Chain Lengths Effects

Xin Feng, Kefeng Fang, Chao Yang, Runci Song et al.
2 citations
Industrial & Engineering Chemistry Research
Fluid Dynamics and Heat Transfer
2.67
article

Impact Dynamics of Surfactant-Laden Droplets: Hydrophobic Chain Lengths Effects

Xin Feng, Kefeng Fang, Chao Yang, Runci Song, Kaihui Cui, Xinyi Chen, Guoqing Zeng, Bing Xiang, Jie Chen
article en
2 citations

Abstract

Understanding the behavior of surfactant-laden droplets impacting superhydrophobic surfaces is critical for various industrial applications. However, the influence of surfactant hydrophobic chain lengths (HCLs), which affect the diffusion coefficient of surfactants, on impact dynamics and predictive model for the maximum spreading diameter of surfactant droplets impacting superhydrophobic surfaces remain poorly understood, particularly under varying Weber numbers (We) and concentrations. This study experimentally investigates the impact dynamic of surfactant-loaded droplets with differing HCLs, focusing on their spreading, maximum spreading diameter, retraction, and oscillation behaviors. A key finding is that surfactants primarily enhance droplet deposition by inhibiting retraction stage. The deposition-enhancing effect exhibits an initial increase and subsequent decrease with increasing HCLs, governed by the interplay between dynamic surface tension, diffusion coefficient, and viscosity. Additionally, moderate increases in We favor droplet deposition and enhanced damping effect for surfactant-laden droplets impacting superhydrophobic surfaces. Finally, introducing the diffusion coefficient of surfactant through the Peclet number creates a generalized model to accurately predict the maximum spreading diameter of different surfactant droplets impacting superhydrophobic surfaces in varying impact velocities. This can be expressed as follows: βmax = 0.55Pe–0.017Re0.0679We0.246. These insights offer a deeper understanding of surfactant-laden droplet behavior on superhydrophobic surfaces and provide strategies for optimizing deposition in practical applications.

Industrial & Engineering Chemistry ResearchVol. 64(22)
China Three Gorges University (CN), Chinese Academy of Sciences (CN), Sichuan University (CN), Institute of Process Engineering (CN), University of Chinese Academy of Sciences (CN), Fuzhou University (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 12%
Fluid Dynamics and Heat Transfer
2.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.