## 1 Introduction
As per [PERSON] [12], the knowledge of rewetting behavior in terms of knowing the rewetting velocity yields an accurate estimation of temperature distribution during the film boiling regime. The rewetting phenomenon may be involved in the simulation via the input of the space-time-dependent heat transfer coefficient in an inverse heat transfer analysis, as noted in [PERSON] and [PERSON] [13]. Furthermore, the application of the heat transfer coefficient in the FEM analysis of the quenching process has been reported in [PERSON] [14]. The heat transfer coefficients were obtained from the transient temperature distribution in a solid using the finite difference method (FDM). The importance of turbulence kinetic energy in the simulation of the quenching process is outlined in [PERSON] [15]. The four-equation turbulence model has been used within the framework of numerical modeling of the spray quenching process using AVL Fire computational software ([[https://www.avl.com/en/simulation-solutions/software-offering/simulation-tools-a-z/avl-fire-m](https://www.avl.com/en/simulation-solutions/software-offering/simulation-tools-a-z/avl-fire-m)]([https://www.avl.com/en/simulation-solutions/software-offering/simulation-tools-a-z/avl-fire-m](https://www.avl.com/en/simulation-solutions/software-offering/simulation-tools-a-z/avl-fire-m)), accessed on 14 January 2025). The already-mentioned VMS approach has been applied in a detailed quenching study of complex geometries in Bahbah [16]. The significance of bubble flow in the enhancement of the heat transfer process has been outlined in the computational study of multiphase flow in Panda [17]. More recently, the Inconel 600 nickel alloy has been studied from the heat transfer point of view in [PERSON] et al. [18]. The material was considered at a temperature that is lower than the one used in quenching, and the importance of thermal radiation was shown. Finally, the investigation of residual stresses in a Ti6 Al4V alloy has been supplemented with combined FEM/CFD simulation methods in a recent study by [PERSON] and [PERSON] [19]. Thus, CFD modeling is utilized for obtaining the heat transfer coefficients, whilst FEM modeling is used for the structural analysis needed for the estimation of residual stresses in the material. In addition, the knowledge of the heat transfer coefficient is viable information in technologies other than quenching, as shown in the recent study by [PERSON] and [PERSON] [20]. The authors used CFD techniques to estimate the heat transfer coefficient during the deep grinding process. Being aware of the dynamic behavior of the heat transfer coefficient during the quenching process, in particular, at the switch between the film and nucleate boiling regimes where a drastic change in heat transfer coefficient takes place, with this paper, we want to further explore this dynamic, but solely in the film boiling phase, where transient oscillations of the heat transfer coefficient also occur. Thus, by reviewing the work from the past two decades, it is obvious how the bubble dynamics influence on the heat transfer coefficient in the film boiling regime was hard to comprehend via the affordable numerical simulation due to the flow complexity and the associated huge computational resources that are to be used to access the flow behavior at a micro-scale using realistic geometry. Hence, the present work presents the bubble behavior in the film boiling regime at an industrial scale, followed by its impact on the heat transfer coefficient. Furthermore, the issues regarding the accurate estimation of the heat transfer coefficient may be lowered using simple theoretical reasoning.