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Direct observations of field-induced assemblies in magnetite ferrofluids
N S Susan Mousavi1, Sachin D Khapli2, Sunil Kumar
1Mechanical Engineering Department, Polytechnic School of Engineering, New York University , 6 Metrotech Center, Brooklyn, New York 11201, USA.
Journal of Applied Physics
|April 2, 2015
Summary
Microstructure formation in magnetite ferrofluids is influenced by magnetic field strength and particle concentration. These factors control chain formation and aggregation, impacting properties like thermal conductivity.
Area of Science:
- Colloid and Surface Science
- Materials Science
- Nanotechnology
Background:
- Magnetite-based ferrofluids exhibit microstructures influenced by external stimuli.
- Understanding these structures is crucial for applications in areas like thermal management.
Purpose of the Study:
- To investigate the evolution of microstructures in magnetite ferrofluids under varying magnetic field strengths and particle concentrations.
- To examine the effects of these parameters on field-induced assemblies and validate the zippering effect.
Main Methods:
- Utilized cryogenic transmission electron microscopy (cryo-TEM) for in-situ observation of nanoparticle assemblies.
- Systematically varied particle concentrations (0.15%, 0.48%, 0.59% w/v) and magnetic field strengths (0.05-0.42 T).
- Compared the performance of continuous carbon and holey carbon support films for electron microscopy.
Main Results:
- Observed field-induced formation of nanoparticle chains, head-to-tail aggregation, and zippering.
- Increasing magnetic field strength enhanced chain formation and aggregation.
- Higher particle concentrations led to longer linear assemblies and thicker chains due to zippering.
- Holey carbon films facilitated the observation of localized high-concentration effects.
Conclusions:
- Both magnetic field strength and particle concentration significantly influence microstructure formation in weak dipolar ferrofluids.
- Experimental observations validate the zippering effect in these systems.
- Findings can inform models for thermophysical properties, such as thermal conductivity.
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