Size Dependent Classification Function in Imperfectly Mixed Suspension Continuous Crystallizer

Abstract

In this work, a size dependent classification function is defined based on the average population density distribution in the crystallizer and the population density distribution in the product. The factors, which affect the size dependent classification function, are discussed based on the theory of the crystallization process in imperfectly mixed suspension continuous crystallizers. The size dependent classification functions for different mixing intensities and product removal locations have been measured experimentally for the crystallization of potassium sulfate from solution. The size dependent classification function can be correlated with specific power input and particle size in empirical models. Therefore, the effect of the mixing on the crystallization may be described by the size dependent classification function.