The strength of multi-scale modeling to unveil the complexity of radical polymerization

DR D'hooge, PHM Van Steenberge… - Progress in Polymer …, 2016 - Elsevier
The strength of multi-scale modeling to support the fundamental understanding and design
of radical polymerization processes is illustrated, considering both controlled and free …

Challenges and opportunities concerning numerical solutions for population balances: a critical review

M Singh, V Ranade, O Shardt… - Journal of Physics A …, 2022 - iopscience.iop.org
Population balance models are tools for the study of dispersed systems, such as granular
materials, polymers, colloids and aerosols. They are applied with increasing frequency …

[图书][B] The Control Handbook (three volume set)

WS Levine - 2018 - taylorfrancis.com
At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …

Ensemble deep kernel learning with application to quality prediction in industrial polymerization processes

Y Liu, C Yang, Z Gao, Y Yao - Chemometrics and Intelligent Laboratory …, 2018 - Elsevier
For predicting the melt index (MI) in industrial polymerization processes, traditional data-
driven empirical models do not utilize the information in a large amount of the unlabeled …

Domain adaptation transfer learning soft sensor for product quality prediction

Y Liu, C Yang, K Liu, B Chen, Y Yao - Chemometrics and Intelligent …, 2019 - Elsevier
For multi-grade chemical processes, often, limited labeled data are available, resulting in an
insufficient construction of reliable soft sensors for several modes. Additionally, the current …

[HTML][HTML] Chemical product design–recent advances and perspectives

L Zhang, H Mao, Q Liu, R Gani - Current Opinion in Chemical Engineering, 2020 - Elsevier
Chemical industry is continuously looking for opportunities to manufacture the necessary
commodity chemicals as well as to convert them into higher value-added chemicals-based …

Crystal population balance formulation and solution methods: a review

HM Omar, S Rohani - Crystal Growth & Design, 2017 - ACS Publications
Crystallization is an important part of many chemical industries. Efforts are being invested to
improve the performance of the crystallization process by designing novel crystallizers. An …

Integrated soft sensor using just-in-time support vector regression and probabilistic analysis for quality prediction of multi-grade processes

Y Liu, J Chen - Journal of Process control, 2013 - Elsevier
Multi-grade processes have played an important role in the fine chemical and polymer
industries. An integrated nonlinear soft sensor modeling method is proposed for online …

Improved kinetic Monte Carlo simulation of chemical composition-chain length distributions in polymerization processes

PHM Van Steenberge, DR D'hooge… - Chemical Engineering …, 2014 - Elsevier
Composite binary trees are introduced for an improved kinetic Monte Carlo (kMC)
calculation of chemical composition-chain length distributions (CC-CLDs) in polymerization …

[图书][B] Control system applications

WS Levine - 1999 - books.google.com
Control technology permeates every aspect of our lives. We rely on them to perform a wide
variety of tasks without giving much thought to the origins of the technology or how it became …