Abstract Summary (Max 250 words)
Despite the fact that computational modelling in multiphase flow mixing has aroused interest over the past 40 years or so, its role and usefulness still remain unclear. This presentation will attempt to bring elements of answer to this question by reviewing some of the most significant techniques and methods that have been developed to simulate mixing flow in various applications. Through many examples of industrial relevance, we will discuss issues such as problem setting, model development, model verification and validation, determination of physical properties, hardware resources, and convergence of results. Upon doing so, we will evidence the progress made in computer modelling but also bring up aspects that need to be further improved, such as the availability of robust and efficient techniques that can cope with multiphase and multi-physics mixing flows. This will lay the table for the recent interest in the so-called digital twins, which aim at bringing together in a synergistic manner correlations from the literature, experimental data, AI and computer models. The state-of-the-art concerning the digital twin paradigm within the scope of mixing applications will be discussed as well as its current limitations and challenges to be addressed in the future.
