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Stirred tanks are essential components in design and optimization of food processing lines, as they assure proper mixing and homogenization of ingredients. In this context, the mixing time is one of the most impactful performance parameters affecting various process design decisions. Thus, reliable methods to accurately predict mixing times in stirred tanks are highly desired. The aim of this the
