Jie Wang, Chenglu Shan, Yu Ren, Yao Yang, Xiaoqiang Fan, Binbo Jiang, Zhengliang Huang, Jingdai Wang, Yongrong Yang
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引用次数: 0
Abstract
Monte Carlo (MC) simulation is one of the most powerful methods for predicting the detailed molecular architecture of free radical polymerization products, but its efficiency is severely limited by stepwise random selection of massive elementary reactions. To address this challenge, we propose an accelerated approach termed the coupled pre‐sequencing MC model. Unlike previous hybrid models, the proposed approach first completes the deterministic calculation of reaction rates throughout the entire reaction process and converts the elementary reaction rates into reaction counts within each coarse‐grained unit. The detailed chain structure information lost in the deterministic model is then recovered through MC simulation. To further enhance the efficiency of this process, a unique pre‐sequencing strategy is designed, which includes executing initiator decomposition in advance, treating propagation reactions as a queue, and inserting low‐frequency reactions. Simulation results for LDPE and EVA production demonstrate high accuracy and substantially reduced computational cost.
期刊介绍:
The AIChE Journal is the premier research monthly in chemical engineering and related fields. This peer-reviewed and broad-based journal reports on the most important and latest technological advances in core areas of chemical engineering as well as in other relevant engineering disciplines. To keep abreast with the progressive outlook of the profession, the Journal has been expanding the scope of its editorial contents to include such fast developing areas as biotechnology, electrochemical engineering, and environmental engineering.
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Articles are categorized according to the following topical areas:
Biomolecular Engineering, Bioengineering, Biochemicals, Biofuels, and Food
Inorganic Materials: Synthesis and Processing
Particle Technology and Fluidization
Process Systems Engineering
Reaction Engineering, Kinetics and Catalysis
Separations: Materials, Devices and Processes
Soft Materials: Synthesis, Processing and Products
Thermodynamics and Molecular-Scale Phenomena
Transport Phenomena and Fluid Mechanics.