Implementation of integral surface tension formulations in a volume of fluid framework and their applications to Marangoni flows

• The integral formulation for surface tension is extended to a volume of fluid method. • Three different methods are proposed: a coupled level set volume of fluid method (CLSVOF), the height function method (HF), and height function to distance method (HF2D). • For validation, the proposed methods are tested rigorously for various problems. • Several new numerical benchmarks are introduced to validate the Marangoni flow solver. Accurate numerical modeling of surface tension has been a challenging aspect of multiphase flow simulations. The integral formulation for modeling surface tension forces is known to be consistent and conservative, and to be a natural choice for the simulation of flows driven by surface tension gradients along the interface. This formulation was introduced by Popinet and Zaleski [1] for a front-tracking method and was later extended to level set methods by Al-Saud et al. [2]. In this work, we extend the integral formulation to a volume of fluid (VOF) method for capturing the interface. In fact, we propose three different schemes distinguished by the way we calculate the geometric properties of the interface, namely curvature, tangent vector and surface fraction from VOF representation. We propose a coupled level set volume of fluid (CLSVOF) method in which we use a signed distance function coupled with VOF, a height function (HF) method in which we use the height functions calculated from VOF, and a height function to distance (HF2D) method in which we use a sign-distance function calculated from height functions. For validation, these methods are rigorously tested for several problems with constant as well as varying surface tension. It is found that from an accuracy standpoint, CLSVOF has the least numerical oscillations followed by HF2D and then HF. However, from a computational speed point of view, HF method is the fastest followed by HF2D and then CLSVOF. Therefore, the HF2D method is a good compromise between speed and accuracy for obtaining faster and correct results.