华南理工大学高分子材料科学与工程系材料科学研究所 广州 510641
msgzzhang@scut.edu.cn
收稿:2025-12-29,
录用:2026-02-06,
网络首发:2026-04-14,
纸质出版:2026-05-20
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龚湘君, 张广照. 高分子物理中链动力学的教学研究. 高分子通报, 2026, 39(5), 820–825.
Gong, X. J.; Zhang, G. Z. Teaching and research on chain dynamics in polymer physics. Polym. Bull. (in Chinese), 2026, 39(5), 820–825.
龚湘君, 张广照. 高分子物理中链动力学的教学研究. 高分子通报, 2026, 39(5), 820–825. DOI: 10.14028/j.cnki.1003-3726.2026.25.383.
Gong, X. J.; Zhang, G. Z. Teaching and research on chain dynamics in polymer physics. Polym. Bull. (in Chinese), 2026, 39(5), 820–825. DOI: 10.14028/j.cnki.1003-3726.2026.25.383.
高分子物理中的链动力学是理解聚合物材料流变行为和机械性能的核心和基础。本研究提出以松弛时间的理论计算为核心、以高分子标度关系为线索的教学设计。通过Rouse模型、Zimm模型和Tube模型的递进式讲解,构建“稀溶液单链动力学—流体力学修正—缠结效应”的完整框架。利用问题导向的教学方式,详细论述3个核心模型的假定和推导思路,强调标度理论在高分子动力学中的重要性,弥补高分子链段动力学理论深入不够、概念碎片化的问题,为高分子物理课程改革提供新思路。
Chain dynamics constitutes the foundational framework for understanding the rheological behavior and mechanical properties of polymeric materials. This study introduces an instructional design grounded in the theoretical computation of relaxation time
with scaling relationships serving as its unifying conceptual scaffold. By systematically developing the Rouse model
Zimm model
and Tube model—progressing from “single-chain dynamics in dilute solutions” to “hydrodynamic interactions” and finally to “entanglement-constrained motion”—we establish a coherent
hierarchically structured pedagogical pathway. Guided by a problem-driven approach
we explicitly articulate the physical assumptions
mathematical approximations
and logical derivation steps underpinning each model
thereby highlighting how scaling theory bridges microscopic chain motions with macroscopic viscoelastic responses. This design directly responds to two persistent challenges in polymer physics education: (1) the lack of conceptual depth in connecting molecular mechanisms to observable phenomena
and (2) the fragmentation of chain dynamics topics across disjointed modules. As such
it provides a principled foundation for curriculum reform aimed at fostering mechanistic reasoning and quantitative intuition.
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