Abstract
This study proposes an intelligent wetting analysis system based on multi-physics coupling for contact angle goniometry and optical surface tension meter, namely the ADSA-RealDrop model. By establishing a theoretical model for dynamic wetting behavior and validating it with experimental data from five major industrial applications, including photolithography, lithium batteries, medical catheters, and microfluidics, the study reveals the non-linear relationship between surface tension (18–35 mN/m) and contact angle (4.5°–12.5°). The modified Young-Laplace equation and Cox-Voinov dynamic contact line model were used, with theoretical prediction errors less than 5%. Experimental results show that optimizing surface tension can improve process efficiency by 12%–40%, providing theoretical guidance for contact angle goniometry and optical surface tension meter applications and industrial process optimization.
Keywords
Contact angle goniometry and optical surface tension meter, ADSA-RealDrop model, dynamic wetting, surface tension, Young-Laplace equation, Cox-Voinov model, photolithography, lithium batteries, medical catheters, microfluidics, wetting control
Navier-Stokes Equation Coupled with Surface Tension
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Fluid flow and surface tension coupling describe the core of wetting phenomena:
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