Experimental and Data Fitting Guidelines for the Determination of Polymer Crystallization Kinetics

Ricardo Arpad Pérez-Camargo; Guo-Ming Liu; Du-Jin Wang; Alejandro J. Müller

doi:10.1007/s10118-022-2724-2

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Experimental and Data Fitting Guidelines for the Determination of Polymer Crystallization Kinetics

RESEARCH ARTICLE | Updated：2022-05-24

- Experimental and Data Fitting Guidelines for the Determination of Polymer Crystallization Kinetics
- Experimental and Data Fitting Guidelines for the Determination of Polymer Crystallization Kinetics
- Chinese Journal of Polymer Science 2022年40卷第6期页码：658-691
- Affiliations：
  
  a.Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Engineering Plastics, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
  b.University of Chinese Academy of Sciences, Beijing 100049, China
  c.POLYMAT and Department of Polymers and Advanced Materials: Physics, Chemistry and Technology, Faculty of Chemistry, University of the Basque Country UPV/EHU, Donostia-San Sebastián 20018, Spain
  d.IKERBASQUE, Basque Foundation for Science, Bilbao 48013, Spain
- Author bio：
  
  gmliu@iccas.ac.cn
- Funds：
  
  This work was financially supported by the the National Natural Science Foundation of China (Nos. 21922308 and 51820105005) and the National Key R&D Program of China (No. 2017YFE0117800). We would also like to acknowledge the financial support from the BIODEST project; this project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 778092. The funding of MICINN (Spain) through grant PID2020-113045GB-C21 is gratefully acknowledged. G. L. is grateful to the Youth Innovation Promotion Association of the Chinese Academy of Sciences (No. Y201908). Mr. Ming Wang is thanked for preparing the AAO infiltrated sample. Dr. Maryam Safari is thanked for the fruitful discussions and data related to random copolymers, and Mr. Sam Fang and Dr. Easwar R. Iyer from OriginLab Corporation for their help transforming our plug-in (Ref. [9]) into an updated APP (Ref. [71]).
- DOI：10.1007/s10118-022-2724-2
  中图分类号：
- 收稿：2022-01-01，
  
  修回：2022-2-16，
  
  录用：2022-2-23，
  
  网络首发：2022-05-05，
  
  纸质出版：2022-06-01
- Accepted：
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Pérez-Camargo, R. A.; Liu, G. M.; Wang, D. J.; Müller, A. J. Experimental and data fitting guidelines for the determination of polymer crystallization kinetics. Chinese J. Polym. Sci. 2022, 40, 658–691

Ricardo Arpad Pérez-Camargo, Guo-Ming Liu, Du-Jin Wang, et al. Experimental and Data Fitting Guidelines for the Determination of Polymer Crystallization Kinetics[J]. Chinese Journal of Polymer Science, 2022, 40(6): 658-691.
Pérez-Camargo, R. A.; Liu, G. M.; Wang, D. J.; Müller, A. J. Experimental and data fitting guidelines for the determination of polymer crystallization kinetics. Chinese J. Polym. Sci. 2022, 40, 658–691 DOI： 10.1007/s10118-022-2724-2.

Ricardo Arpad Pérez-Camargo, Guo-Ming Liu, Du-Jin Wang, et al. Experimental and Data Fitting Guidelines for the Determination of Polymer Crystallization Kinetics[J]. Chinese Journal of Polymer Science, 2022, 40(6): 658-691. DOI： 10.1007/s10118-022-2724-2.

摘要

This work studies

through practical examples

how to perform isothermal experiments

either continuously or by step

and how to fit or analyze the generated data with the Avrami

and Lauritzen and Hoffman theories

using the Crystallization Fit Origin App ® developed by us.

Abstract

The crystallization kinetics of semicrystalline polymers is often studied with isothermal experiments and analyzed by fitting the data with analytical expressions of the Avrami and Lauritzen and Hoffman (LH) theories. To correctly carry out the analysis

precautions in both experiments and data fitting should be taken. Here

we systematically discussed the factors that influence the validity of the crystallization kinetics study. The basic concepts and fundamentals of the Avrami and LH theories were introduced at first. Then

experimental protocols were discussed in detail. To clarify the impact of various experimental parameters

selected common polymers

i.e.

polypropylene and polylactide

were studied using various experimental techniques (

i.e.

differential scanning calorimetry and polarized light optical microscopy). Common mistakes were simulated under conditions when non-ideal experimental parameters were applied. Furthermore

from a practical point of view

we show how to fit the experimental data to the Avrami and the LH theories

using an Origin

App developed by us.

关键词

Keywords

references

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