LAPSE:2025.0391
Published Article

LAPSE:2025.0391
A Modelling and Simulation Software for Polymerization with Microscopic Resolution
June 27, 2025
Abstract
In the domain of process systems engineering, developing software embedded with advanced computational methods is in great demand to enhance the kinetic comprehension and facilitate industrial applications. Polymer production, characterized by complex reaction mechanisms, represents a particularly intricate process industry. In this work, a scientific software is developed for polymerization modelling and simulation with insight on microscopic resolution. From a software architecture perspective, the software is built on a self-developed process modelling platform that allows flexible user customization. A specific design for polymer species with microscopic chain structure information is conducted. From an algorithm perspective, the software offers high-performance solution strategies for polymerization process modelling by utilizing advanced computation approaches. A Ziegler-Natta copolymerization is presented to demonstrate the softwares capability in capturing the microscopic structural information of polymers.
In the domain of process systems engineering, developing software embedded with advanced computational methods is in great demand to enhance the kinetic comprehension and facilitate industrial applications. Polymer production, characterized by complex reaction mechanisms, represents a particularly intricate process industry. In this work, a scientific software is developed for polymerization modelling and simulation with insight on microscopic resolution. From a software architecture perspective, the software is built on a self-developed process modelling platform that allows flexible user customization. A specific design for polymer species with microscopic chain structure information is conducted. From an algorithm perspective, the software offers high-performance solution strategies for polymerization process modelling by utilizing advanced computation approaches. A Ziegler-Natta copolymerization is presented to demonstrate the softwares capability in capturing the microscopic structural information of polymers.
Record ID
Keywords
Modular Modelling, Polymerization Process, Software Development
Subject
Suggested Citation
Jiao S, Lin X, Liu R, Chen X. A Modelling and Simulation Software for Polymerization with Microscopic Resolution. Systems and Control Transactions 4:1486-1491 (2025) https://doi.org/10.69997/sct.180163
Author Affiliations
Jiao S: State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University 310027, Hangzhou China
Lin X: State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University 310027, Hangzhou China; Huzhou Institute of Industrial Control Technology 313000, Huzhou China
Liu R: State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University 310027, Hangzhou China
Chen X: State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University 310027, Hangzhou China; Huzhou Institute of Industrial Control Technology 313000, Huzhou China
Lin X: State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University 310027, Hangzhou China; Huzhou Institute of Industrial Control Technology 313000, Huzhou China
Liu R: State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University 310027, Hangzhou China
Chen X: State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University 310027, Hangzhou China; Huzhou Institute of Industrial Control Technology 313000, Huzhou China
Journal Name
Systems and Control Transactions
Volume
4
First Page
1486
Last Page
1491
Year
2025
Publication Date
2025-07-01
Version Comments
Original Submission
Other Meta
PII: 1486-1491-1465-SCT-4-2025, Publication Type: Journal Article
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LAPSE:2025.0391
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https://doi.org/10.69997/sct.180163
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[v1] (Original Submission)
Jun 27, 2025
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Jun 27, 2025
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References Cited
- Lin X, Chen X, Biegler LT, Feng L-F. A modified collocation modeling framework for dynamic evolution of molecular weight distributions in general polymer kinetic systems. Chem Eng Sci 237: 116519 (2021) https://doi.org/10.1016/j.ces.2021.116519
- Mastan E, Zhu S. Method of moments: A versatile tool for deterministic modeling of polymerization kinetics. Eur Polym J 68: 139-160 (2015) https://doi.org/10.1016/j.eurpolymj.2015.04.018
- Liu R, Lin X, Armaou A, Chen X. A multistep method for steady-state Monte Carlo simulations of polymerization processes. AIChE J 69: e17978 (2023) https://doi.org/10.1002/aic.17978
- Liu R, Armaou A, Chen X. Adaptable Parallel Acceleration Strategy for Dynamic Monte Carlo Simulations of Polymerization with Microscopic Resolution. Industrial & Engineering Chemistry Research 60:6173-6187 (2021) https://doi.org/10.1021/acs.iecr.0c05795
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