[HTML][HTML] Optimal control of batch cooling crystallizers by using genetic algorithm

Y Amini, MB Gerdroodbary, MR Pishvaie… - Case Studies in Thermal …, 2016 - Elsevier
The formation of crystals from solutions plays a key role in various industrial applications. In
this study, a new approach is presented into the optimal control of batch cooling crystallizers …

Evaluation of the kinetics of unseeded batch cooling crystallization using population balance modeling: Sucrose and KNO3 case studies

S Kim, SY Lee, JW Chang, DR Yang - Journal of Industrial and …, 2023 - Elsevier
A facile method for estimating the kinetics of unseeded batch crystallization via mass and
average size measurements was developed. The population balance equation (PBE) …

Novel formulation of adaptive MPC as EKF using ANN model: Multiproduct semibatch polymerization reactor case study

R Kamesh, KY Rani - IEEE Transactions on Neural Networks …, 2016 - ieeexplore.ieee.org
In this paper, a novel formulation for nonlinear model predictive control (MPC) has been
proposed incorporating the extended Kalman filter (EKF) control concept using a purely data …

Data-driven modeling of product crystal size distribution and optimal input design for batch cooling crystallization processes

J Liu, T Liu, J Chen, H Yue, F Zhang, F Sun - Journal of Process Control, 2020 - Elsevier
In this paper, a novel data-driven model building method is proposed for predicting one-
dimensional product crystal size distribution (CSD) or chord length distribution (CLD) of …

Dynamic modeling and optimization of batch crystallization of sugar cane under uncertainty

E Bolaños-Reynoso… - Industrial & …, 2014 - ACS Publications
This work presents a study on the agitation rate effects on the average diameter (% volume
D (4, 3)) in the batch crystallization of sugar cane in pilot-scale process. The mathematical …

Seeded Cooling Crystallization Process Optimization of β Form l-Glutamic Acid Based on Variable Moving Horizon State Estimation

T Liu, Y Cui, Y Wang, ZK Nagy - Industrial & Engineering …, 2022 - ACS Publications
In this paper, a cooling temperature optimization method is proposed for the seeded
crystallization process of β form l-glutamic acid (LGA), based on moving horizon estimation …

On the use of process analytical technologies and population balance equations for the estimation of crystallization kinetics. A case study

N Gherras, G Févotte - AIChE journal, 2012 - Wiley Online Library
The batch cooling solution crystallization of ammonium oxalate was performed in water at
various constant cooling rates. Measurements of the solute concentration were obtained …

Multi-objective optimization based nonlinear model predictive control of seeded cooling crystallization process with application to β form L-glutamic acid

F Sun, T Liu, B Song, Y Cui, ZK Nagy… - Chemical Engineering …, 2024 - Elsevier
For batch performance optimization of seeded cooling crystallization processes with respect
to multiple production objectives, a multi-objective optimization (MOO) based nonlinear …

Moment Estimation and Product CSD Prediction for Batch Crystallization Process via Adaptive Receding-Horizon Kalman Filter

F Sun, T Liu, Y Cui, B Song… - Industrial & Engineering …, 2023 - ACS Publications
To overcome the influence from time-varying process uncertainties of seeded batch cooling
crystallization in engineering practice, an adaptive receding-horizon nonlinear Kalman filter …

An enhanced hybrid model for batch sugar crystallization based on the pattern recognition for overall heat transfer coefficient using a machine learning approach

M Azizi, M Mosharaf‐Dehkordi… - Journal of Food …, 2024 - Wiley Online Library
A hybrid model is developed and evaluated to simulate the heat and mass transfer in the
crystallization unit of a sugar factory. While the mass transfer is modeled by using the kinetic …