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Prediction of coating thickness in the convective assembly process
Yoon Dong Jung1, Kyung Hyun Ahn
1School of Chemical and Biological Engineering, Institute of Chemical Process, Seoul National University , Seoul, 151-744, Korea.
Langmuir : the ACS Journal of Surfaces and Colloids
|December 17, 2013
Summary
This study models convective assembly, a method for creating ordered thin films. The research predicts the close-packed region length based on dimensionless variables, validated by experiments.
Area of Science:
- Materials Science
- Fluid Dynamics
- Surface Chemistry
Background:
- Convective assembly is a key technique for fabricating ordered thin films.
- These films have applications in sensors, data storage, and optical devices.
- Understanding the formation mechanism of the close-packed region is crucial.
Purpose of the Study:
- To predict the length of the close-packed region during convective assembly.
- To identify the key dimensionless variables governing coating thickness and region length.
- To develop coating process regime maps.
Main Methods:
- Mathematical modeling to predict the length of the close-packed region.
- Identification of dimensionless coating thickness and region length as functions of capillary numbers and initial volume fraction.
- Experimental validation of model predictions under various coating conditions.
Main Results:
- Dimensionless coating thickness and close-packed region length are functions of two capillary numbers and initial volume fraction.
- Coating process regime maps were created to predict dimensionless coating thickness.
- Experimental measurements confirmed the model's predictions for the close-packed region length.
Conclusions:
- The developed model accurately predicts the length of the close-packed region in convective assembly.
- Dimensionless variables effectively characterize the convective assembly process.
- Experimental validation confirms the model's reliability for fabricating ordered thin films.
