Crystallization Process and Simulation Calculation

• Other Authors: Chen, Mingyang (Editor), Ouyang, Jinbo (Editor), Han, Dandan (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Technology: general issues; crystals; metal-organic frameworks; Cu(II) ion; 2D layer; structural evolvement; electronic polysilicon; flow field; temperature field; boundary layer; coupled furnaces; florfenicol; solubility; binary solvent system; cosolvency; correlation model; nanocrystals; combinative technology; aqueous solubility; stability; dissolution rate; nucleation; growth; mesoscale; precursor; EMMS model; vanadium pentoxide; cathode; doping; rate performance; crystal image analysis; deep learning; size measurement; crystal growth rate; silicon single crystals; floating zone; effective segregation coefficient; numerical modelling; Czochralski growth; silicon; crucible; oxygen concentration; calcium carbonate; foreign salts; antiscalants; crystallization; struvite; fertilizer; phosphorus; ammonium; wastewater; stirring; turbulence; alumina hydrate; boehmite; ammonioalunite; evolutionary process; reaction crystallization
• Online Access: DOAB: download the publication; DOAB: description of the publication

As an important unit operation, crystallization is a process in which nucleation, growth, agglomeration, and breakage are regulated to produce high-quality crystals and achieve efficient separation as well as purification. Since a crystallization process often presents the characteristics of strong coupling, nonlinearity, and large lagging, it is a challenge to rationally design a robust, well-characterized process to efficiently crystallize and prepare a high-quality crystalline product. The development of process analytical technology that can provide fast and accurate inline or online measurement is of great importance in the design and control of crystallization processes. Simulation technology, e.g., molecular dynamics simulation and hydrodynamics simulation, can provide time- or location-dependent insight into the process on multiple scales. These experimental and simulation tools can greatly help to further investigate crystallization processes. This Special Issue served to provide a platform for researchers to report results and findings in crystallization process technologies, simulation and process analytical technologies, and relevant crystallization studies.