Soft Magnetic Materials

294 Pages·2011·41.264 MB·English

by  Edited by Tianbiao Zhang and Jerry Tian

Soft Magnetic Materials

Edited by
Tianbiao Zhang
Jerry Tian
Soft Magnetic Materials
Selected, peer reviewed paper from
2011 International Conference on Soft Magnetic Materials
(ICSMM 2011)
on May 23-24, in Male, Maldives

Edited by
Tianbiao Zhang and Jerry Tian
Copyright  2011 Trans Tech Publications Ltd, Switzerland

All rights reserved. No part of the contents of this publication may be reproduced
or transmitted in any form or by any means without the written permission of the
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Volume 298 of
Advanced Materials Research
ISSN 1022-6680
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Preface

We are delighted to invite you to participate 2011 International Conference on Soft Magnetic
Materials (ICSMM 2011) on May 23-24, 2011, Male, Maldives.
The objective of ICSMM 2011 is to provide a forum for researchers, educators, engineers, and
government officials involved in the general areas of soft magnetic materials, soft ferrites, powder
cores, composite materials, thin films, metamaterials, magnetic measurements and instrumentation
to disseminate their latest research results and exchange views on the future research directions of
these fields.
2011 International Conference on Soft Magnetic Materials (ICSMM 2011) is co-sponsored by
Maldives College of Higher Education, ACM Hong Kong Chapter and Huazhong University of
Science and Technology, China. The mission is to bring together innovative academics and industrial
experts in the field of Soft Magnetic Materials and Engineering Education. The ICSMM 2011 will also
include presentations of contributed papers and state-of-the-art lectures by invited keynote speakers.
The conference will bring together leading researchers, engineers and scientists in the domain of
interest.
We would like to thank the program chairs, organization staff, and the members of the program
committees for their hard work. Special thanks go to TTP Publisher.
We hope that ICSMM 2011 will be successful and enjoyable to all participants. We look forward to
seeing all of you next year at the ICSMM 2011.

Jerry Tian, Wuhan University of Technology, China
Yuanzhi Wang, ACM Hong Kong Chapter Chair, HongKong
Tianbiao Zhang, Huazhong Normal University, China
ICSMM 2011 Organizing Committee

Honorary Conference Chairs
David Wang, IEEE Nanotechnology Council Cambodia Chapter Chair, Cambodia

Organizing Chairs
Khine Soe Thaung, Maldives College of Higher Education, Maldives
Biswanath Vokkarane, Society on Social Implications of Technology and Engineering

Program Chairs
Tianbiao Zhang, Huazhong Normal University, China

Publication Chair
Jerry Tian, Wuhan University of Technology, China

International Committees
Yiyi Zhouzhou,Azerbaijan State Oil Academy, Azerbaijan
Garry Zhu, Thompson Rivers University, Canada
Ying Zhang, Wuhan Uniersity, China
Dehuai Zeng, Shenzhen University, China
Table of Contents
Preface and Organizing Committee
Temperature Compensation of RLG’s Bias Based on LS-SVM
G. Wei, P.F. Zhang, X. Jin and X.W. Long 1
A New Model of Discribing the Band Gap Bowing of III Nitride Alloys
C.Z. Zhao, L.Y. Yu, C.X. Tang, M. Li and J.X. Zhang 7
The Factors Influencing the Band Gap Bowing of III Nitride Alloys
C.Z. Zhao, L.Y. Yu, C.X. Tang, M. Li and J.X. Zhang 13
Application of the Intelligent Sensor in Yarn Quality Online Detection
Q.L. Huang, W.G. Qin and G.Y. Yang 20
Dielectric Relaxation Properties in Colossal Dielectric Constant Material
Sr Ba Ti Ru O
0.9 0.1 0.9 0.1 3
T. Wei, Q.J. Zhou, Q.G. Song, C.Z. Zhao and J.M. Liu 23
The Transition from Normal Ferroelectric to Relaxor Ferroelectric and Evidences of Polar
Nanoregions Combination in Sr Pb TiO
1-x x 3
T. Wei, H.Y. Yan, Y.F. Chen, X.L. Qi, S.Q. Guo, C.Z. Zhao and J.M. Liu 29
The Application of Intelligent Laser Sensor on Yarn Quality Inspection
Y.Y. Wang, Q.L. Huang and G.Y. Yang 35
A Novel Long-Life Air Working Electro-Active Actuator Based on Cellulose and
Polyurethane Blend
C.W. Hou and Z.J. Cai 40
Study on the Characterization and Bending Performance of Electro-Active Actuator Based
on Cellulose and Poly(3-Hydroxybutyrate)
C.W. Hou and Z.J. Cai 45
Study on Structure Properties of Pyridine Ionic Liquids of Different Acid-Based Chain
Lengths
L.M. Wang and D.Q. Chu 51
Novel DNA Electrochemical Biosensor Using Anthraquinone-2-Sulfonic Acid Sodium Salt
as Hybridization Indicator
M. Ma, X.P. Fan, Z. Dai, X.Q. Wang and Q.Y. Zhang 56
Intelligent Detection of Yarn Supply Tension during Flat Knitting Process
M. Zhao and K. Yang 63
Research on FBG in 3-D Braided Composite Structure Health Monitoring
M.W. Ding, Z.K. Wan and Y.X. Ma 68
The Influences of Material and Structure on the UV Protection of Summer Fabrics
L. Dai and Y. Zhang 73
DNA Electrochemical Biosensor Based on Au Nanoparticles Self-Assembled Au Electrode
Y. Liu, Z. Dai, S.C. Xu, J.M. Zhang, G. Zheng, Q.Y. Zhang and G.P. Chen 78
The Research of Sphygmus Sensor Based on FBG in Smart Clothing
J.M. Gan, C.Y. Miao, C. Zhang, H. Gao, F.F. Bai, L.D. Zhu and M. Ma 90
The Preparation of a Novel Composite Film Based on Polyoxometalate for Visible Light
Photocatalysis
D.F. Li and Y. Liu 96
Gas-Sensitive Behavior Based on Charge Transfer Processes of a Novel Polyoxometalate
(POM)/TiO /SiO Composite Film
2 2
D.F. Li and Y. Liu 102
Development of Blended Yarns of Slenderized Wool and Mercerized Cotton
Y.P. Ji, R. Wang and X.M. Jiang 108
Application of FXL Series High-Speed Gilling Machine on Flax Short Spinning
R. Wang and Y.P. Ji 113
Continuous Processing Technology of Wool Slenderizing Integrated with Biologic Enzyme
Modification
Y.P. Ji, R. Wang and X.M. Jiang 117
Preparation of Nicotinamide Adenine Dinucleotide Functionalized Multi-Walled Carbon
Nanotube and its Application to Dehydrogenase Biosensor
X.S. Wang, P. Liu, H.T. Zheng, H. Hu, W.J. Zheng and S.I. Suye 121
b Soft Magnetic Materials
DNA Electrochemical Biosensor Based on Chitosan and Gold Nanoparticles Using
Methylene Blue as Electrochemical Indicator
A.C. Zhang and C. Zhou 128
DNA Electrochemical Biosensor Based on Chitosan and Core-Shell Au@SiO Nanoparticles
2
C. Zhou and A.C. Zhang 135
Analysis on the Application of Ceramic Materials in Package - The Application of Ceramic
Bottle in the Package of Jinjiu
Y. Zheng and B.Y. Jin 142
Mangnese Dioxide Nano-Crystal as Catalyst to Remove Formaldehyde
W. Shao, X.J. Chu, K. Gao and H. Zhang 147
Sensing Textile Fibers by THz Time-Domain Spectroscopy
H.Q. Li, J.X. Gong, J.F. Zhang, C.L. Wang and Z. Tian 153
Converse Magnetoelectric Coefficient of Terfenol-D/PZT/Terfenol-D Laminated
Magnetoelectric Composite
N. Zhang, B.W. Wang and W.M. Huang 157
Synthetic Technology and Performance of a Novel Fatty Alcohol Polyoxyethylene
Carboxylate Surfactants
Y.Y. Lei, G. Zheng, Y. Sun and Y. Zhou 163
Effect of Binder Materials on Magnetic Properties of Amorphous Fe Si B Powder Core
78 9 13
J. Tang, F.Z. Lian and M. Yu 169
Research on Preparation and Properties of Fe-Si-Al Soft Magnetic Composites
Q.D. Li, X.W. Dong, T.X. Liu, J.H. You and F.Z. Lian 173
A Novel Model for Predicting Iron Losses of Electrical Steels Fed by PWM Inverter
P.L. Huang, G.S. Cheng and A.P. Yan 179
The Estimation for Position and Velocity of Moving Ball from Single Linear Array Image
Z.X. Zhao, X. Zhang, B.W. Hui and G.J. Wen 183
Synthesis, Characterization and Photocatalytic Property of Magnetic Titania Hollow Sphere
Composite
C. Zhang, R. Hou and H. Zhang 188
The Equivalent Proving of Two Typical Vector Composing PM Circuits and their
Characteristic Analysis
Q.D. Sun, Z.G. Liu, W.X. Ma and J.W. Huang 193
The Surface Weak Magnetic Signals of Low Carbon Steel under Cyclic Loads
J.J. Yuan and W.M. Zhang 197
Effect of Hot-Rolled Microstructure on the Recrystallization Texture of Cold-Rolled Non-
Oriented Electrical Steel
Z.L. Jin, W. Li and Y.M. Li 203
Effect of Mineralizer on the Hydrothermal Synthesis of Bi Na TiO Lead-Free
0.5 0.5 3
Piezoelectric Crystals
H. Yang, G. Yang, Y. Liu and C. Wang 209
Mechanical Alloying for Fabrication of Fe Ni B Amorphous Alloys Powder
50 30 20
G. Wang, Z.G. Chao, Y.Y. Zhu, D.D. Hu, X.H. Wang and Q. Li 215
The Design and Simulation of a Switch Reluctance Motor for the Transmission Auxiliary
Start up and Brake
B.D. Liu, D.S. Li, J.H. Yang and P. Cai 220
Application of Attapulgite Clay Mineral Modified by Flame Retarder in Green Building
Materials
X.Q. Liu, X.C. Duan, M.H. Shen and J.N. Chen 226
Stable Antiferromagnetism of Orthorhombic BiCrO under Pressure: a Theoretical Study
3
H. Wang, X. Chen, X.Y. Chen and Y.J. Zhao 243
Characterization of TiO Film Prepared by Sol-Gel Method Using Ti(OC H )
2 4 9 4
L.L. Yang, J.W. Bai and W.J. Zhang 249
Characterization of Porous TiO Films Prepared Using PEG of Different Molecular Weight
2
L.L. Yang, J.W. Bai and W.J. Zhang 253
The Logarithmic Amplifier with I/O Characteristic Approaching Horizontal Line
H. Wang and G.H. Liu 257
The Analysis of Aluminum Alloy Microstructure Changes in Strong Alternating Magnetic
Field
G.X. Chen, H. Xiao and Y.M. Fu 262
Tianbiao Zhang and Jerry Tian c
Analysis on Torsional Vibration Characteristics of Steam Turbine Generator Shafts
T.X. Wang, C.B. He and D. Jiang 267
Simple Synthesis of Micrometer Fe O Particles with Controlled Magnetic Behaviors
3 4
G.Z. Zhao, X. Zhou, Y.Q. Liu and Y.Y. Sun 273
Three-Dimensional Automatic Measurements System for RFID Magnetic Field
W.D. Hu and P.J. Wu 278
Modeling and Simulation of the Membrane-Type Actuator Based on E-ACE
X.L. Zhu, A.F. Hui, S.J. E, J.B. Cao and L.H. Zhu 282
© (2011) Trans Tech Publications, Switzerland
doi:10.4028/www.scientific.net/AMR.298.1
Temperature Compensation of RLG’s Bias based on LS-SVM
Guo Wei1,a, Pengfei Zhang2,b, Xun Jin3,c, Xingwu Long4,d
1National University of Defense Technology,College of Opo-electric Science and Engineering,Hunan, China
2National University of Defense Technology,College of Opo-electric Science and Engineering,Hunan, China
3China Satellite Maritime ,Tracking and Controlling Department ,Jiangsu, China
4National University of Defense Technology,College of Opo-electric Science and Engineering,Hunan, China
[email protected], [email protected],
[email protected], [email protected]
Keywords: Ring laser gyro; Least Squares-Support Vector Machine; Least squares estimation;
Stepwise regression
Abstract. Bias of ring laser gyro (RLG) changes with temperature in the non-linear way, which is an
important restraining factor for improving the accuracy of RLG. For the deficiency of least squares
regression and neural networks, a new method of temperature compensation of RLG’s bias was
proposed, that is, building function regression model by using Least Squares-Support Vector
Machine(LS-SVM). Static and dynamic temperature experiments of RLG’s bias are carried out. The
results show that: after static temperature compensation, the maximum error of RLG’s bias has
dropped from 0.0413º/hr to 0.00073º/hr; while after dynamic temperature compensation, the gyro
precision has increased fromσ= 0.0102º/hr toσ= 0.0011º/hr. It indicates that this method has
improved the laser gyro’s accuracy considerably.
Introduction
As one of the core device of strapdown inertial navigation system, mechanically dithered RLG, with a
series of advantages of short start-up time, wide dynamic range, and digital output and so on, is
widely used in many cutting-edge military fields. For practical gyro of engineering, the general
requirement is wide work temperature range. As an important indicator of measuring the performance
of RLG, bias stability is impacted greatly by temperature. Therefore, in order to further improve the
RLG’s precision, the most effective way is to establish a temperature model of RLG’s bias through
experimental analysis, and make real-time compensation.
At present, the commonly used method of temperature compensation is to get curve fitting
parameters by using system identification methods such as least squares regression analysis based on
experimental data for establishing temperature compensation model. However, for complex
non-linear data fitting, this traditional modeling method is limited. In recent years, many scholars
suggest to establish a model showing gyro’s change with temperature by using non-linear regression
of neural network[1]. However, the neural network does not have support of a complete mathematical
theory, and there are problems such as local minimum, over-learning and others.
In 1990s, Vapnik and others has studied and developed a machine learning algorithms based on
statistical learning theory - Support Vector Machine (SVM), which seeks the best compromise
between complexities and learning ability of a model according to limited sample information, in
order to obtain the best generalization ability[2]. SVM has intuitional geometric interpretation and
perfect mathematical form, which can overcome the weakness such as local minimum and
over-learning. It had been applied in pattern recognition, regression forecast, nonlinear control and
other areas. However, in application of the standard SVM algorithm, there is a problem of hyperplane
parameters selecting, in addition, matrix scale in solving quadratic programming problems is
impacted greatly by numbers of training samples, which results in the over-large solving scale
problem. Least Squares-Support Vector Machines (LS-SVM) proposed by Suykens et al. starts with
loss function of machine learning, uses two norm in objective function of its optimization, and
replace inequality constraints of SVM standard algorithm with equality constraints, which converts
optimization problem of LS-SVM method to a solution of a set of linear equations through