Agglomeration degree distribution as quality criterion to evaluate crystalline products

Design of a Continuous Tubular Cooling Crystallizer for Process Development on Lab‐Scale

“…Thus, batch cooling rates in the range of r b 0.45 K min -1 have been investigated in reference studies for the L-alanine (water) system [20,37,38]. As process intensification and increased efficiency are main advantages of continuous crystallization processes in tubular devices [21,22] the desired cooling rate is set to r c~1 .5-3.0 K min -1 for the prototype being introduced in this work.…”

“…In this case, L-alanine crystallizes exclusively in an orthorhombic morphology [18,19]. Nevertheless, the system tends to agglomeration during batch cooling crystallization [20].…”

Influence of Filtration on the Agglomeration Degree of Two Crystalline Amino Acids

“…This method is based on the work of Terdenge et al [13], which applies DFA to solve the classification problem, and was evolved by the methods of Ochsenbein et al [14], which uses a support vector machine as learning algorithm. This method is based on the work of Terdenge et al [13], which applies DFA to solve the classification problem, and was evolved by the methods of Ochsenbein et al [14], which uses a support vector machine as learning algorithm.…”

“…In contrast to literature [13] an additional group of waste particles was not chosen. Therefore, a training set for L-Glu and L-Phe was prepared by manually matching a particle either to the group agglomerates or single particles.…”

“…To characterize the influence of different process parameters on the agglomeration of single crystals, a method has to be used allowing a differentiation between single and agglomerated crystals. In this work two existing methods [13,14] with orthogonal properties were used and evolved to meet the specific requirements of the particle system. For example, microscopy particle characterization followed by a principle component analysis was executed [8,17].…”