Quantitative imaging of nanoscale mechanical properties using hybrid nanoindentation and force modulation

纳米压痕 刚度 材料科学 纳米压头 缩进 弹性模量 质点位移 复合材料 流离失所(心理学) 调制(音乐) 声学 光学 振幅 物理 心理学 心理治疗师
作者
S. A. Syed Asif,Kathryn J. Wahl,Richard J. Colton,Oden L. Warren
出处
期刊:Journal of Applied Physics [American Institute of Physics]
卷期号:90 (3): 1192-1200 被引量:262
标识
DOI:10.1063/1.1380218
摘要

In this article, we present a quantitative stiffness imaging technique and demonstrate its use to directly map the dynamic mechanical properties of materials with nanometer-scale lateral resolution. For the experiments, we use a “hybrid” nanoindenter, coupling depth-sensing nanoindentation with scanning probe imaging capabilities. Force modulation electronics have been added, enhancing instrument sensitivity and enabling measurements of time dependent materials properties (e.g., loss modulus and damping coefficient) not readily obtained with quasi-static indentation techniques. Tip–sample interaction stiffness images are acquired by superimposing a sinusoidal force (∼1 μN) onto the quasi-static imaging force (1.5–2 μN), and recording the displacement amplitude and phase as the surface is scanned. Combining a dynamic model of the indenter (having known mass, damping coefficient, spring stiffness, resonance frequency, and modulation frequency) with the response of the tip–surface interaction, creates maps of complex stiffness. We demonstrate the use of this approach to obtain quantitative storage and loss stiffness images of a fiber-epoxy composite, as well as directly determine the loss and storage moduli from the images using Hertzian contact mechanics. Moduli differences as small as 20% were resolved in the images at loads two orders of magnitude lower than with indentation, and were consistent with measurements made using conventional quasi-static depth-sensing indentation techniques.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
欣喜机器猫完成签到,获得积分20
刚刚
Suger完成签到 ,获得积分10
1秒前
2秒前
3秒前
利利应助莉莉采纳,获得10
5秒前
Feifei133发布了新的文献求助10
5秒前
6秒前
汤姆发布了新的文献求助10
7秒前
mizi发布了新的文献求助10
7秒前
夜星寒月完成签到,获得积分10
8秒前
9秒前
善学以致用应助MW采纳,获得30
10秒前
11秒前
Mireyi发布了新的文献求助10
11秒前
玛珂巴巴珂完成签到,获得积分10
11秒前
youran完成签到,获得积分10
12秒前
ED应助科研通管家采纳,获得10
15秒前
共享精神应助科研通管家采纳,获得10
15秒前
星辰大海应助科研通管家采纳,获得10
15秒前
Hello应助科研通管家采纳,获得10
15秒前
ED应助科研通管家采纳,获得10
15秒前
棋士应助科研通管家采纳,获得10
15秒前
Owen应助科研通管家采纳,获得20
15秒前
SciGPT应助科研通管家采纳,获得10
16秒前
棋士应助科研通管家采纳,获得10
16秒前
ED应助科研通管家采纳,获得10
16秒前
情怀应助科研通管家采纳,获得10
16秒前
无花果应助科研通管家采纳,获得10
16秒前
Hello应助科研通管家采纳,获得10
16秒前
科研通AI2S应助科研通管家采纳,获得10
16秒前
史小菜应助科研通管家采纳,获得20
16秒前
17秒前
18秒前
a龙完成签到,获得积分10
20秒前
猫猫雨发布了新的文献求助10
21秒前
21秒前
任性踏歌应助ommphey采纳,获得100
22秒前
24秒前
量子星尘发布了新的文献求助10
25秒前
25秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
A new approach to the extrapolation of accelerated life test data 500
T/CIET 1202-2025 可吸收再生氧化纤维素止血材料 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3954434
求助须知:如何正确求助?哪些是违规求助? 3500429
关于积分的说明 11099451
捐赠科研通 3230989
什么是DOI,文献DOI怎么找? 1786171
邀请新用户注册赠送积分活动 869852
科研通“疑难数据库(出版商)”最低求助积分说明 801700