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模拟尺寸对微/纳结构力学性能的影响。

Modelling the Size Effects on the Mechanical Properties of Micro/Nano Structures.

作者信息

Abazari Amir Musa, Safavi Seyed Mohsen, Rezazadeh Ghader, Villanueva Luis Guillermo

机构信息

Department of Mechanical Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran.

Advanced NEMS Group, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland.

出版信息

Sensors (Basel). 2015 Nov 11;15(11):28543-62. doi: 10.3390/s151128543.

DOI:10.3390/s151128543
PMID:26569256
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4701295/
Abstract

Experiments on micro- and nano-mechanical systems (M/NEMS) have shown that their behavior under bending loads departs in many cases from the classical predictions using Euler-Bernoulli theory and Hooke's law. This anomalous response has usually been seen as a dependence of the material properties on the size of the structure, in particular thickness. A theoretical model that allows for quantitative understanding and prediction of this size effect is important for the design of M/NEMS. In this paper, we summarize and analyze the five theories that can be found in the literature: Grain Boundary Theory (GBT), Surface Stress Theory (SST), Residual Stress Theory (RST), Couple Stress Theory (CST) and Surface Elasticity Theory (SET). By comparing these theories with experimental data we propose a simplified model combination of CST and SET that properly fits all considered cases, therefore delivering a simple (two parameters) model that can be used to predict the mechanical properties at the nanoscale.

摘要

对微纳机械系统(M/NEMS)的实验表明,它们在弯曲载荷作用下的行为在许多情况下与使用欧拉 - 伯努利理论和胡克定律的经典预测不同。这种异常响应通常被视为材料特性对结构尺寸,特别是厚度的依赖性。一个能够对这种尺寸效应进行定量理解和预测的理论模型对于M/NEMS的设计至关重要。在本文中,我们总结并分析了文献中可以找到的五种理论:晶界理论(GBT)、表面应力理论(SST)、残余应力理论(RST)、偶应力理论(CST)和表面弹性理论(SET)。通过将这些理论与实验数据进行比较,我们提出了一种CST和SET的简化模型组合,该组合能恰当地拟合所有考虑的情况,从而提供一个简单的(双参数)模型,可用于预测纳米尺度下的力学性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a600/4701295/a3ea475ae882/sensors-15-28543-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a600/4701295/554f5c5c2514/sensors-15-28543-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a600/4701295/d666f745ede7/sensors-15-28543-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a600/4701295/b74ddd8fb136/sensors-15-28543-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a600/4701295/0c612daa803d/sensors-15-28543-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a600/4701295/380e80bb28f3/sensors-15-28543-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a600/4701295/a3ea475ae882/sensors-15-28543-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a600/4701295/554f5c5c2514/sensors-15-28543-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a600/4701295/d666f745ede7/sensors-15-28543-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a600/4701295/b74ddd8fb136/sensors-15-28543-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a600/4701295/0c612daa803d/sensors-15-28543-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a600/4701295/380e80bb28f3/sensors-15-28543-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a600/4701295/a3ea475ae882/sensors-15-28543-g006.jpg

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