中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A novel torsion testing technique for micro-scale specimens based on electromagnetism

文献类型:期刊论文

作者Huan Y(郇勇); Dai YJ(代玉静); Shao YQ(邵亚琪); Peng GJ(彭光健); Feng YH(冯义辉); Zhang TH(张泰华)
刊名Review of Scientific Instruments
出版日期2014
卷号85页码:095106
通讯作者邮箱huany@lnm.imech.ac.cn
ISSN号0034-6748
通讯作者Yong Huan
合作状况国内
中文摘要A novel torsion apparatus for micro-scale specimens is developed based on electromagnetism, in which a coil-magnet component is used for actuating and torquemeasuring. When the current gets through the coil, the torque, produced by Ampere force, can be easily measured by recording the current. A laser displacement sensor is applied tomeasure the rotation angle. The torque is calibrated using Sartorius BP211D balance. Thecalibration results demonstrate there is a perfect linear relationship between the torque and the current. The torque capacity is 4.0 × 10−4 N m with noise-floor of less than 10−8 N m. The rotation angle capacity is 60° with noise-floor of less than 0.02°. Two sets of copper wire specimens, with diameter of 100 m and 140 m, are tested using this apparatus. Experimental results, with good resolution and repeatability, successfully demonstrate the effectiveness of the torsion testing technique for micro-scale specimens.
分类号二类/Q2
收录类别SCI ; EI
原文出处http://dx.doi.org/10.1063/1.4894822
语种英语
WOS记录号WOS:000342910500072
公开日期2014-11-16
源URL[http://dspace.imech.ac.cn/handle/311007/49300]  
专题力学研究所_非线性力学国家重点实验室
推荐引用方式
GB/T 7714
Huan Y,Dai YJ,Shao YQ,et al. A novel torsion testing technique for micro-scale specimens based on electromagnetism[J]. Review of Scientific Instruments,2014,85:095106.
APA Huan Y,Dai YJ,Shao YQ,Peng GJ,Feng YH,&Zhang TH.(2014).A novel torsion testing technique for micro-scale specimens based on electromagnetism.Review of Scientific Instruments,85,095106.
MLA Huan Y,et al."A novel torsion testing technique for micro-scale specimens based on electromagnetism".Review of Scientific Instruments 85(2014):095106.

入库方式: OAI收割

来源:力学研究所

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