[HTML][HTML] Development of a recurrent neural networks-based NMPC for controlling the concentration of a crystallization process
Crystallization is a separation and purification process relevant to industrial sectors, such as
pharmaceuticals. The maximum possible recovery of solute amount is one of its goals, and …
pharmaceuticals. The maximum possible recovery of solute amount is one of its goals, and …
Semi-automatic detection and segmentation of wooden pellet size exploiting a deep learning approach
R Pierdicca, M Balestra, G Micheletti, A Felicetti… - Renewable Energy, 2022 - Elsevier
The production of wood pellets was born as a response to the need to manage the residual
sawdust of wood processing. Nowadays, the standard UNE EN ISO 17225-2: 2021 …
sawdust of wood processing. Nowadays, the standard UNE EN ISO 17225-2: 2021 …
Dynamic data reconciliation for enhancing the performance of kernel learning soft sensor models considering measurement noise
In modern industrial processes, data-driven soft sensor models avoiding the limitations of
measurement techniques and expensive costs are developed for process monitoring and …
measurement techniques and expensive costs are developed for process monitoring and …
Just-in-time learning based functional spectral data modeling for in-situ measurement of slurry component concentrations via infrared spectroscopy
For using infrared spectroscopy to conduct in-situ measurement of slurry component
concentrations during batch crystallization or fermentation process in engineering practice, a …
concentrations during batch crystallization or fermentation process in engineering practice, a …
[HTML][HTML] MLAPI: A framework for developing machine learning-guided drug particle syntheses in automated continuous flow platforms
A Pankajakshan, S Pal, N Snead, J Almeida… - Chemical Engineering …, 2025 - Elsevier
Recently, machine learning (ML) models are increasingly being used in process analytical
technology (PAT) frameworks for pharmaceutical manufacturing. Yet, the applications of ML …
technology (PAT) frameworks for pharmaceutical manufacturing. Yet, the applications of ML …
Seeded Cooling Crystallization Process Optimization of β Form l-Glutamic Acid Based on Variable Moving Horizon State Estimation
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 …
crystallization process of β form l-glutamic acid (LGA), based on moving horizon estimation …
Virtual metrology for chemical mechanical planarization of semiconductor wafers
Chemical mechanical planarization (CMP) is an important operation for surface modification
of wafers in semiconductor manufacturing. Productivity and quality of wafers depends …
of wafers in semiconductor manufacturing. Productivity and quality of wafers depends …
Data-driven operation modeling and optimal design for batch cooling crystallization with a case study on β-LGA
In this paper, a data-driven modeling and optimization method is proposed for batch
operation of the cooling crystallization process based on the design of experiments (DoE) in …
operation of the cooling crystallization process based on the design of experiments (DoE) in …
Optimization of Batch Cooling Crystallization of Sodium Phosphite Through Genetic Algorithm
Z Wang, S Rao, B Li, J Wang - Chemical Engineering & …, 2024 - Wiley Online Library
In this paper, the seeded batch cooling crystallization of sodium phosphite (SP) is simulated
and optimized through a coupled method of the genetic algorithm and nonlinear …
and optimized through a coupled method of the genetic algorithm and nonlinear …
[HTML][HTML] 基于实验设计的L-谷氨酸连续结晶过程优化
赵洺延， 杨思维， 刘涛， 于海晨 - 化学工业与工程, 2023 - jchemindustry.tju.edu.cn
对于采用连续振荡挡板式结晶器进行β 型L-谷氨酸的冷却结晶, 提出一种基于实验设计的晶体
产品尺寸分布预测模型和过程操作条件优化方法. 将连续管式结晶器的振荡频率, 2 …
产品尺寸分布预测模型和过程操作条件优化方法. 将连续管式结晶器的振荡频率, 2 …