Process Optimization of Para-xylene Crystallization Separation Process via Morphology Approach, Multi-dimensional...

Area of Science:

• Chemical Engineering
• Crystallization Science
• Process Optimization

Background:

• Predicting saturated concentrations is crucial for solid-liquid equilibrium processes.
• Understanding crystal nucleation and growth kinetics is essential for process control.
• Optimizing crystallization separation is key to economic viability.

Purpose of the Study:

• To develop an activity coefficient-based model for predicting saturated concentrations.
• To establish a novel 3D reconstruction technique for measuring crystal size and kinetics.
• To simulate and optimize the economic benefits of crystallization separation processes.

Main Methods:

• Experimental determination of binary parameters for xylene mixtures.
• Monocular 3D reconstruction for crystal size measurement.
• Application of multi-dimensional population balance equations.
• Algorithm design for economic benefit simulation and optimization.

Main Results:

• Accurate prediction of saturated concentrations in organic solid-liquid equilibrium.
• Derivation of nucleation and growth kinetics for para-xylene crystals.
• Prediction of particle size distribution in crystallizers.
• Optimization of coolant and feed flowrates for improved economic benefit.

Conclusions:

• The developed model and techniques enable precise prediction of crystallization process parameters.
• The study provides a pathway for optimizing crystallization for enhanced economic outcomes.
• This research contributes to efficient and cost-effective chemical separation processes.