尹武良
最新电磁测量技术,智能仪器与仪表,电磁传感技术,计算机层析成像技术,复杂信号处理(包括财经和经济数据处理)。
个性化签名
- 姓名:尹武良
- 目前身份:
- 担任导师情况:
- 学位:
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学术头衔:
博士生导师
- 职称:-
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学科领域:
自动化仪器仪表与装置
- 研究兴趣:最新电磁测量技术,智能仪器与仪表,电磁传感技术,计算机层析成像技术,复杂信号处理(包括财经和经济数据处理)。
尹武良,教授,博士生导师,男,1971年生。
专业学科:检测技术与自动化装置
主要经历
1988年9月至1992年7月,天津大学自动化系学习,获工学学士学位;
1992年9月至1995年3月,天津大学自动化系学习,获工学硕士学位;
1995年 5月至1999年9月,清华大学学习,获工学博士学位;
工作经历
1999年10月至2007 年9月,先后在英国里兹大学,兰卡斯特大学,和曼彻斯特大学任 Research Fellow;
2007年9月聘为天津大学教授;
研究方向
最新电磁测量技术,智能仪器与仪表,电磁传感技术,计算机层析成像技术,复杂信号处理(包括财经和经济数据处理)
代表论文
已发表国际期刊和国际会议论文100余篇。其中SCI收录近30篇,被引过 100 次。 最近论文有:
科研项目
1. 国家自然科学基金国际重大合作 “高频激励低电导率物质的电磁层析成像关键技术研究”
2. 国家自然科学基金重点项目 “人体活性组织介电特性与表征方法研究”
3. 国家自然科学基金 “集成式电磁层析成像系统”
4. 国家自然科学基金 “老龄飞机大结构件腐蚀损伤无损检测技术研究”
5. 英国曼彻斯特大学合作项目 “新一代EMT技术”
6. 教育部海外留学人员基金
拥有数项国际和美国专利。
曾获教育部科技进步奖。
IEEE 高级会员
教育部海外专家
多家国际期刊的审稿人:
Review of Scientific instruments, IEEE Transactions on Instrumentation and Measurement, NDT & E International,
Measurement Science & Technology, IEEE Transactions on Magnetics, IEEE Sensors Journal, Sensors & Actuators.
开发的电磁测控系统已被英国钢铁使用。
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主页访问
2149
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关注数
0
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成果阅读
369
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成果数
7
尹武良
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-1年11月30日
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36浏览
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尹武良
,-0001,():
-1年11月30日
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40浏览
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引用
尹武良, W. Yina, c, X.J.Haob, A.J.Peytona, M.Strangwoodb, C.L.Davisb
NDT&E International42(2009)64-68,-0001,():
-1年11月30日
This paper presents the measurement of ferrite/austenite phase fraction using amulti-frequency electromagnetic sensor. A simple analytical model was established that can describe the response of thesensor for samples containing varying fractions of ferromagnetic phase over a wide range of frequencies(100Hz-1MHz).In particular, a new feature, the peak frequency of the imaginary part of the inductance, is found to be able to distinguish between samples across the whole range of the ferrite percentages. FEM models were used to simulate representative real microstructures from the samples and to relate the relative permeability to the ferrite fraction. Experimental results suggest that the accuracy of ferrite/austenite percentage measurement is within8%.
Electromagnetic sensor, Ferrite fraction, Microst ructure, FEM, Analytical models
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尹武良, X.J. Hao, a, * W. Yin, b M. Strangwood, a A.J. Peyton, b P.F. Morrisc and C.L. Davisa
Scripta Materialia 58 (2008) 1033-1036,-0001,():
-1年11月30日
by heat treating Fe–0.8 wt.% C steel rods for various times in air at 1000 C. The inductance value of the sensor at different frequencies varied as a function of decarburization depth due to the difference in magnetic permeability between ferrite and pearlite. The relationship between sensor output and decarburized layer thickness was modelled using finite element software.
Decarburization, Steel, Non-destructive testing, Modelling, Microstructure
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尹武良, W. Yin Æ A. J. Peyton Æ M. Strangwood Æ C. L. Davis
J Mater Sci (2007) 42: 6854-6861,-0001,():
-1年11月30日
Abstract The link between the electromagnetic properties of steel and its microstructure is a complex one, depending on both phase fractions and morphology. n this paper, both analytical and three-dimensional finite element (3DFEM) modelling techniques were applied to the prediction of permeability for steel with a given ferrite fraction for random ferrite/austenite distributions. Experimental measurements from a multi-frequency electromagnetic sensor on samples generated by hot isostatic pressing (HIPping) of powder mixtures were used to evaluate the analytical and FEM predictions. Theoretical treatment of the relationship between the sensor output and the effective permeability is also given; in particular, it was found that the zero crossing frequency of the real part of the inductance is approximately linearly related to the permeability for high (>40%) ferrite percentages. The EM sensor can therefore be used to identify the samples across the full range (0-100%) of ferrite percentages using both the zero crossing frequency (>40%) and trans-impedance (0–40%). The effect of banded (non-random) microstructures on sensor output and the prediction of the upper and lower bounds of permeability are also discussed.
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【期刊论文】Thickness measurement of non-magnetic plates using multi-frequency eddy current sensors
尹武良, W. Yin, A.J. Peyton
NDT&E International 40 (2007) 43-48,-0001,():
-1年11月30日
A robust feature in multi-frequency eddy current (MEC) testing has been found that can be directly linked to the thickness of the plate under test. It is shown mathematically that the peak frequency of the imaginary part of the inductance change when an air-cored coil is placed next to a non-magnetic metallic plate is inversely proportional to the thickness of the plate for a given material. Experimental results indicate that this relationship also holds for a ferrite-cored U-shaped coil. In addition, this peak frequency has been shown to be relatively independent of lift-off variations. Use of this new feature provides a fast and accurate method to gauge the thickness of plates. Measurements made for a sample air-cored and ferrite U-cored coil next to copper and aluminium plates of various thicknesses verified the proposed method.
Multi-frequency, Eddy current, Thickness, Peak frequency
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尹武良, R.J. Haldane a, W. Yin b, M. Strangwood a, A.J. Peyton b, C.L. Davis a, * a Department of
Scripta Materialia 54 (2006) 1761-1765,-0001,():
-1年11月30日
A multi-frequency electromagnetic sensor was used to measure the impedance and inductance of samples containing varying fractions of ferromagnetic phase over a range of frequencies (100 Hz to 1 MHz). The impedance values are approximately linearly related to ferrite fraction for random microstructures up to about 40% ferrite, at which point the ferrite increasingly forms connected pathways and the impedance signal does not increase significantly. The zero cross-point frequency was found to distinguish between samples with higher (>40%) ferrite percentages and can be related to the effective relative permeability of the sample.
Microstructure, Steel, Electromagnetic sensor, FEM simulations
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