Exploring the impact of thermal fluctuations on continuous models of adhesion

IF 5.7 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Claudia Binetti, Andrea Cannizzo, Giuseppe Florio, Nicola M. Pugno, Giuseppe Puglisi, Stefano Giordano
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Abstract

Adhesion and deadhesion processes at the interface between an object and a substrate are well-established phenomena in the realm of materials science and biophysics. These processes can be profoundly influenced by thermal fluctuations, a phenomenon empirically validated through numerous experimental observations. While discrete models have traditionally served as a foundation for understanding this intricate interplay, this paper seeks to bridge the gap between such discrete representations and the continuous models that more accurately reflect experimental scenarios. To achieve this objective, we initially adopt discrete models comprising n elements, selected such that their physical parameters converge towards the continuum limit as n approaches infinity. This thoughtful scaling ensures that the discrete system retains its relevance in the context of continuous media. Leveraging principles from Statistical Mechanics and Griffith-type total energy minimization approaches, we employ this scaled discrete model to investigate the impact of temperature in continuous adhesion phenomena. As a result, we obtain an analytical model to account for the decrease of the decohesion threshold depending on thermal (entropic) energy terms. Interestingly, our approach demonstrates that continuous adhesion models invariably exhibit phase transitions, whose critical temperatures can be derived through closed-form calculations. By elucidating these critical temperature values, this work enhances our understanding of adhesion processes within continuous media and opens new avenues for the exploration of adhesion-related phenomena in diverse scientific disciplines. Finally, the comparison with some experimental results is discussed.
探讨热波动对连续黏附模型的影响
在材料科学和生物物理学领域中,物体和基材之间界面的粘附和死粘过程是公认的现象。这些过程可以受到热波动的深刻影响,这是一种通过大量实验观察得到经验验证的现象。虽然离散模型传统上是理解这种复杂相互作用的基础,但本文试图弥合这种离散表示与更准确地反映实验场景的连续模型之间的差距。为了实现这一目标,我们最初采用包含n个元素的离散模型,选择使其物理参数在n接近无穷大时收敛于连续统极限。这种深思熟虑的尺度确保了离散系统在连续媒体的背景下保持其相关性。利用统计力学和griffith型总能量最小化方法的原理,我们采用该比例离散模型来研究温度对连续粘附现象的影响。因此,我们获得了一个解析模型来解释取决于热(熵)能项的退聚阈值的降低。有趣的是,我们的方法表明,连续粘附模型总是表现出相变,其临界温度可以通过封闭形式的计算得出。通过阐明这些临界温量值,这项工作增强了我们对连续介质中粘附过程的理解,并为探索不同科学学科中与粘附相关的现象开辟了新的途径。最后,与一些实验结果进行了比较。
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来源期刊
International Journal of Engineering Science
International Journal of Engineering Science 工程技术-工程:综合
CiteScore
11.80
自引率
16.70%
发文量
86
审稿时长
45 days
期刊介绍: The International Journal of Engineering Science is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering sciences. While it encourages a broad spectrum of contribution in the engineering sciences, its core interest lies in issues concerning material modeling and response. Articles of interdisciplinary nature are particularly welcome. The primary goal of the new editors is to maintain high quality of publications. There will be a commitment to expediting the time taken for the publication of the papers. The articles that are sent for reviews will have names of the authors deleted with a view towards enhancing the objectivity and fairness of the review process. Articles that are devoted to the purely mathematical aspects without a discussion of the physical implications of the results or the consideration of specific examples are discouraged. Articles concerning material science should not be limited merely to a description and recording of observations but should contain theoretical or quantitative discussion of the results.
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