Magnetowetting Dynamics of Compound Droplets

IF 4.3 Q2 ENGINEERING, CHEMICAL

ACS Engineering Au Pub Date : 2024-09-19 DOI:10.1021/acsengineeringau.4c00023

Debdeep Bhattacharjee, Suman Chakraborty, Arnab Atta

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Abstract

Understanding the spreading dynamics of compound droplets is crucial for emerging applications like micromixers, microreactors, and mechano-responsive artificial cells. Integrating magnetic fields expands the potential of these technologies in soft robotics and medical imaging. Despite extensive research on individual droplets, the magnetowetting processes of compound droplets on hydrophobic surfaces remain underexplored. To address this gap, we use a finite element framework to conduct numerical simulations, focusing on the spreading behavior of compound droplets on hydrophobic surfaces under magnetic fields. Our approach is validated against experimental and theoretical paradigms from existing single-droplet studies. Additionally, we verify our model for the temporal evolution of compound droplet wetting in the absence of magnetic fields against existing numerical results. This research systematically explores wetting behaviors and shell fluid disintegration by manipulating key parameters, including magnetic field intensity and inner-to-outer droplet size ratios. These findings have significant implications for enhancing magnetically controlled soft fluidic systems, particularly in digital microfluidics and drug development.

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复合液滴的磁etting动力学

了解化合物液滴的扩散动力学对于微搅拌器、微反应器和机械响应人造细胞等新兴应用至关重要。磁场的集成拓展了这些技术在软机器人和医学成像方面的潜力。尽管对单个液滴进行了广泛的研究，但对疏水表面上复合液滴的磁润湿过程仍然缺乏探索。为了弥补这一不足，我们采用有限元框架进行数值模拟，重点研究磁场作用下疏水表面上复合液滴的扩散行为。我们的方法根据现有单液滴研究的实验和理论范例进行了验证。此外，我们还根据现有的数值结果验证了我们关于无磁场条件下化合物液滴润湿的时间演变模型。这项研究通过操纵关键参数，包括磁场强度和内外液滴尺寸比，系统地探索了润湿行为和壳液分解。这些发现对增强磁控软流体系统，特别是数字微流体和药物开发具有重要意义。

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ACS Engineering Au 化学工程技术-

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期刊介绍：）ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)