Overview of Computational Techniques for Drying

Drying is among the most intricate and energy-intensive chemical processes. Higher research and development (R&D) exertions in drying technology were implemented in previous eras to obtain top product quality, lower energy consumption and carbon footprints, and enhance food safety. With the aid of computer-aided drying models, solutions have been developed for improving current technology (conjugate modelling, multiscale modelling, modelling of material possessions and propagation). The conventional approach of numerical drying methodologies based on experimental models has been fully supplanted in recent years by a potent set of computational tools like computational fluid dynamics (CFD). Its versatility allows accurate simulation of a variety of flow processes, including drying with high temporal and spatial resolution, allowing it thoroughly by understanding the heat flow as well as mass and momentum transfer. CFD also supplements the experimental and analytical methodologies by modelling number of complex flow problems. Although CFD has numerous industrial solicitations in fluid dynamics, it has just recently begun to be used in diverse drying scenarios. The computational capabilities of the CFD software are thoroughly reviewed in this book chapter, along with how they can be cast off to pretend the drying process. Additionally, it contains numerous mathematical methods applied in different drying models, widely-used in commercial CFD programmes, and turbulence models utilized in case study simulations of drying problems.