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Revisiting Liquid Behavior on Surfaces

A fresh look at how liquids interact with surfaces, emphasizing contact angles and new models.

Tomas Fullana, Yash Kulkarni, Mathis Fricke, Stéphane Popinet, Shahriar Afkhami, Dieter Bothe, Stéphane Zaleski

― 5 min read


New Insights on Liquid New Insights on Liquid Dynamics behavior on surfaces. Exploring advanced models of liquid
Table of Contents

Picture a droplet of water on a freshly waxed car hood. That droplet doesn’t just sit there; it has a personality. Sometimes it glides smoothly, other times it clings to the surface. This behavior is all about the interactions between the liquid and the surface, known as Wetting. One key player in this drama is the contact angle, which is the angle formed between the liquid's surface and the solid surface beneath.

What is Wetting?

Wetting refers to how a liquid spreads out on a surface. If the liquid spreads out, we say it has good wetting properties. If it beads up, it has poor wetting properties. This is not just a matter of aesthetics; it's essential in many fields like painting, coatings, and even in biological systems where cells need to interact with fluids.

The Role of Contact Angles

The contact angle is crucial in understanding how liquids interact with surfaces. A small contact angle means the liquid spreads out more, while a large angle indicates that it won't be spreading much at all. Imagine pouring syrup on pancakes: it spreads when the angle is small, but if you pour it on a flat plate, it might form beads, showing a larger angle.

Contact Lines at Play

Now, where does the magic happen? It all occurs at the contact line, where the three phases meet: solid, liquid, and gas. This line is where the fun begins and where the complexity of fluid dynamics takes front stage. As the liquid moves, the contact line shifts, and that movement influences how the liquid behaves.

The Trouble with Traditional Models

Historically, many models tried to explain liquid behavior at these contact lines. Some suggested that the liquid would not slip at all when in contact with a solid surface, creating what we call a “no-slip” condition. However, this approach leads to problems-think of it as trying to push a car uphill without rolling it; it just doesn’t work smoothly.

Enter the Generalized Navier Boundary Condition (GNBC)

To address the quirks of liquid behavior, scientists introduced the Generalized Navier Boundary Condition (GNBC). This concept allows for some slip at the contact line-kind of like giving the liquid a break and letting it glide a bit. This is crucial since many liquids show that they don’t adhere strictly to surfaces, especially when the contact line is in motion.

The Contact Region Model

But we didn’t stop there. A new model emerged, dubbed the Contact Region Generalized Navier Boundary Condition (CR-GNBC). This one takes things a step further. Instead of treating the contact line as a sharp boundary, it introduces a region where the effects of the liquid and solid interactions spread out over a distance, allowing for a more nuanced understanding of how the liquid behaves.

Visualizing the Interaction

Think about the CR-GNBC like a fuzzy border instead of a hard line. It’s like having a boundary that softens the interactions between the liquid and the surface. This model acknowledges that the dynamic nature of the contact angle can shift, reflecting how the liquid reacts as it moves across the surface.

Reconstructing the Contact Angle

In practical terms, this means that instead of setting a static angle for the liquid to follow, the model reconstructs the angle based on the liquid’s behavior and the surface it’s on. It's all about the movement and interactions happening at the micro-level.

Validations and Testing

To ensure this new model works, scientists ran tests, comparing their predictions to what really happens in various scenarios. They observed how liquids behave as they move, and checked if the model accurately reflects these behaviors. The aim was to make sure that the values calculated didn’t just make sense mathematically but also matched reality.

The Dancing Interface

During these tests, it was shown that the model aligns with the principles of kinematics, meaning it follows the rules of motion. Just like dancers moving in sync, the liquid behavior and mathematical predictions worked well together.

Mesh Independence: The Importance of Detail

For the model to be reliable, it needed to show consistent results regardless of how finely or coarsely the simulations were set up. This feature is known as mesh independence. It ensures that even if the grid or the “mesh” used for calculations changes, the results remain steady.

Analyzing Different Scenarios

The scientists explored various scenarios to see how the model performs under different conditions. They examined cases of withdrawing plates and other setups where contact angles would change dynamically.

The Future of Liquid Dynamics

Looking ahead, the implications of the CR-GNBC model are significant. It lays the groundwork for refining our understanding of fluid behavior on surfaces. Future research will likely explore non-flat surfaces and dynamic scenarios that involve more complex interactions between liquids and solids.

Conclusion: A New Perspective on Liquids

In the end, we have a deeper understanding of how liquids behave on surfaces. By ditching the rigid old models and embracing the CR-GNBC, we can better predict and analyze the wetting phenomena that not only matter in science but also touch our everyday lives. Whether it’s ensuring paints apply smoothly or crafting better coatings, the nuanced understanding of contact angles and liquid dynamics is a crucial step forward in fluid dynamics.

Humor in Science

And remember, the next time you see a droplet behaving strangely on a surface, give it a nod of appreciation. It’s not just being difficult; it’s following the complex dance dictated by physics. After all, who knew that liquids could have such flair and drama?

Original Source

Title: A consistent treatment of dynamic contact angles in the sharp-interface framework with the generalized Navier boundary condition

Abstract: In this work, we revisit the Generalized Navier Boundary condition (GNBC) introduced by Qian et al. in the sharp interface Volume-of-Fluid context. We replace the singular uncompensated Young stress by a smooth function with a characteristic width $\varepsilon$ that is understood as a physical parameter of the model. Therefore, we call the model the ``Contact Region GNBC'' (CR-GNBC). We show that the model is consistent with the fundamental kinematics of the contact angle transport described by Fricke, K\"ohne and Bothe. We implement the model in the geometrical Volume-of-Fluid solver Basilisk using a ``free angle'' approach. This means that the dynamic contact angle is not prescribed but reconstructed from the interface geometry and subsequently applied as an input parameter to compute the uncompensated Young stress. We couple this approach to the two-phase Navier Stokes solver and study the withdrawing tape problem with a receding contact line. It is shown that the model is grid-independent and leads to a full regularization of the singularity at the moving contact line. In particular, it is shown that the curvature at the moving contact line is finite and mesh converging. As predicted by the fundamental kinematics, the parallel shear stress component vanishes at the moving contact line for quasi-stationary states (i.e. for $\dot{\theta}_d=0$) and the dynamic contact angle is determined by a balance between the uncompensated Young stress and an effective contact line friction. Furthermore, a non-linear generalization of the model is proposed, which aims at reproducing the Molecular Kinetic Theory of Blake and Haynes for quasi-stationary states.

Authors: Tomas Fullana, Yash Kulkarni, Mathis Fricke, Stéphane Popinet, Shahriar Afkhami, Dieter Bothe, Stéphane Zaleski

Last Update: 2024-11-16 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2411.10762

Source PDF: https://arxiv.org/pdf/2411.10762

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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