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Influence mechanism of paper mechanical properties: numerical simulation and experimental verification based on a fiber network

  • Hao Sun , Yaling Wang , Haojin Li , Lingjun Wei EMAIL logo , Yunfeng Zhu , Wanlu Zhang and Wei Wang
Published/Copyright: September 2, 2024
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Abstract

Paper is a kind of renewable material that exists widely and has important application prospects. However, previous studies have mostly focused on the macromechanical properties of paper but lack micro theory based on paper fiber networks. We present a comprehensive experimental and computational study on the mechanical properties of fibers and fiber networks under the influence of microstructure. A beam-spring model was established based on a beam-fiber network to simulate the behavior of fiber networks. Simulations were performed to demonstrate the influence of fiber microstructural parameters such as fiber bond strength, stiffness, failure strength, size, and network density on mechanical features. Mechanical experiments verified that the fiber bond strength had a greater influence on the paper properties than did the fiber strength. This result is highly consistent with that of the model. All the simulations were validated by experimental measurements. Finally, we provided computational insights into the interfiber bond damage pattern with respect to different fiber microlevels and demonstrated that the proposed beam-spring model can be used to predict the response of fiber networks of paper materials. The above research can be used to optimize the formulation, process, and treatment of paper to meet specific application needs.


Corresponding author: Lingjun Wei, Jiangsu Provincial Key Laboratory of Food Advanced Manufacturing Equipment Technology, School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China, E-mail:

Funding source: National Key Research and Development Program

Award Identifier / Grant number: 2022YFD2100305

Funding source: Jiangsu Provincial Key Laboratory of Food Advanced Manufacturing Equipment Technology

Award Identifier / Grant number: FMZ201905

  1. Research ethics: This work does not contain any studies with human participants or animals performed by any of the authors.

  2. Author contributions: All authors contributed to the study conception and design. Material preparation was performed by Y.L. Wang and H.J. Li. Sample testing, data collection and model simulation were conducted by Y.L. Wang and W.L. Zhang. Simulation guidance was provided by Y.F. Zhu. The results analysis and summary were completed by H. Sun and L.J. Wei. The first draft of the manuscript was written by Y.L. Wang and H.J. Li. The revision of the manuscript was completed by Y.L. Wang and W.Wang. All authors commented on previous versions of the manuscript and read and approved the final manuscript.

  3. Competing interests: The authors declare that they have no conflicts of interest.

  4. Research funding: This work was supported by the Jiangsu Provincial Key Laboratory of Food Advanced Manufacturing Equipment Technology (FMZ201905) and the National Key Research and Development Program (2022YFD2100305).

  5. Data availability: The raw data can be obtained on request from the corresponding author.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/npprj-2024-0021).


Received: 2024-03-28
Accepted: 2024-08-15
Published Online: 2024-09-02
Published in Print: 2024-12-17

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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