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Probability evaluation of the ternary polymerization and reactivity ratio of bio-based PA5T/56

  • Chihan Meng EMAIL logo , Feng Zhang , Jiachun Zhong , Zejun Pu , Wenhui Wu and Yuhao Yang
Published/Copyright: January 29, 2025
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Abstract

Bio-based PA5T/56 was successfully prepared by a self-developed and novel modulated polymerization on this condition when the relationship between temperature and pressure was strictly controlled during the process to render the reactivity ratio of each monomers basically the same. In this case, the obtained PA5T/56, with approximately alternating copolymerization structure, possesses better physical and chemical performance and melt flowing properties. Meanwhile, the real-time sampling and testing was operated during the process to get the experimental values of reactivity ratio. Furthermore, the chain growth process of the ternary polymerization reaction was also calculated and simulated by referring to the Mayo-Lewis formula as well as using the Monte Carlo method, and a probabilistic statistical treatment for estimating the reactivity ratio was given. Finally, by comparing the results, it could be found that the experimental values of the reactivity ratio in general accord in the calculated values with reference to the Mayo–Lewis formula and the simulated values of the mathematical model, the values of r12 and r13 are basically the same, which confirmed the successful synthesis of the bio-based PA5T/56 with approximately alternating copolymerization structure, and that the established mathematical model for estimating the reactivity ratio is relatively accurate and is applicable to the ternary polymerization.


Corresponding author: Chihan Meng, School of Materials Science and Engineering, Material Corrosion and Protection Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong, 643000, China, E-mail:

Funding source: The Opening Project of Material Corrosion and Protection Key Laboratory of Sichuan province

Award Identifier / Grant number: 2019CL04

Funding source: The Innovation Fund of Postgraduate, Sichuan University of Science & Engineering

Award Identifier / Grant number: Y2022008

Acknowledgments

We thank all those who participated in the study.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: The Opening Project of Material Corrosion and Protection Key Laboratory of Sichuan province (no. 2019CL04) and the Innovation Fund of Postgraduate, Sichuan University of Science & Engineering (no. Y2022008) are all acknowledged by the authors.

  7. Data availability: Not applicable.

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Received: 2024-09-21
Accepted: 2024-11-06
Published Online: 2025-01-29
Published in Print: 2025-02-25

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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