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[23]. Leong T K, Saratchandran P, Sundararajan N. “Real-time performance evaluation of the minimal radial basis function network for identification of time varying nonlinear systems,” Computers and Electrical Engineering, 2002,28, 28 (2) :103~117 . [24]. Ugur Kesin “Genetic algorithmand artificial neural networkfor engine opti mization of efficiency and NOx emission,” .Fuel, 2004,83, 83 :885-895 . [25]. Wang Zhengying, Shi Bingxin and Erdun Zhao,” Bandwidth -delay-constrained least-cost multicast routing based on heuristic genetic algorithm,” Computer Communications, 2001,24, 24 (7-8) :685-692 [26]. Jing Hua Hu, Hua Feng Kong, “The Research on Effective Video Scene Character Extraction Algorithm in Natural Scene Images,” The 2nd International Symposium on Digital Manufacturing,2009 [27]. Liansheng Liu, Jianfang Zhang, “Software Design for the Fault Diagnosis System of ATC Based on Neural Networks ,” Chinese Control and Decision Conference,2009. [28]. ZHANG Xiaodong, ZHANG Peilin, “Research on the Fault Diagnosis of Gun Recoil Mechanism Based on Intelligent Algorithm,” The 7th International Symposium on Test and Measurement,2007. [29]. Zhang Jianyu,Wang Ruilin, “Evaluation of Effectiveness of Integrated Individual Soldier Combat System Based on Combined-training Neural Network,” The 7th International Symposium on Test and Measurement,2007. [30]. JIN Taobin,DING Ronglin, “The BP Neural Networks Model of Combinatorial Nonperiodic Defected Ground Structures,” The 7th International Symposium on Test and Measurement,2007. 46
ISBN 978-952-5726-09-1 (Print) Proceedings of the Second International Symposium on Networking and Network Security (ISNNS ’10) Jinggangshan, P. R. China, 2-4, April. 2010, pp. 047-049 Influences of Powder Content on the Piezomagnetic Effect of Rubber-based Soft Magnetic Composite Film Daguo Jiang College of Mathematic and Physical , Jinggangshan University , Ji’an, China e-mail: jgsxy_jdg@sohu.com Abstract—Composite film was preparated from the heat treated Fe73.5Cu1Nb3Si13.5B9amorphous powders as reinforced material and butyl rubber as matrix by means of molding to shape, and its piezomagnetic effect is also tested. The results showed that the impedance of composite film decreases with the morer powder content; the rangeability of impedance increases first and then decreases with increasing powder content.Piezomagnetic effect of omposite film is theoretically analyzed with resistance and capacitance in series model and the conclusions are consistent with the experimental results Index Terms—Fe73.5Cu1Nb3Si13.5B9; butyl rubber; composite film;piezomagnetic effect I. INTRODUCTION Strain occurs and the material internal magnetization state changes when the ferromagnetic materials are under the action of mechanical force,which resulting in a significant change in impedance of the phenomenon called piezomagnetic effect. A variety of pressure magnetic sensors are developed based on piezomagnetic effect, including pressure magnetic non-contact torque sensors, amorphous piezomagnetic acceleration sensors piezomagnetic pressure sensors [1-2]. In the literatures [3- 5], the skin effect was used for qualitative analyzing the piezomagnetic effect of rubber-based soft magnetic composite film. As composite film is large resistivity and low permeability, and composite film has excellent piezomagnetic effect under low frequency, so the skin effect depth under alternating current is bigger than the film thickness. In this paper, the soft magnetic composite films were prepared with the non-powder Fe73.5Cu1Nb3Si13.5B9 as composite phase and the butyl rubber as base, and the influence of powder content on the piezomagnetic effect was studied. Theoretically analysis with resistance and capacitance in series model is done, which showed the conclusions are consistent with the experimental results . II. EXPERIMENTAL PRINCIPLES AND METHODS First, 7.2 μm FeSiB amorphous powders is put into titanate (NDZ-105) THF solution for surface process; and then uniformly mix the powder with butyl rubber by different mass ratio, then add sulfur, paraffin and other additives for adequate mixing; put the mixture between the two copper foil papers, pressure forms;finally a composite film with 200 μm thickness is achieved after cured at 160 ℃ for 1 hour. Figure1 Schematic of piezomagnetic effect test The test method of piezomagnetic effect is shown in Figure 1 where the effective area in the film between the copper foil is 6mm × 5mm,then apply point pressure on the film center, pressure head diameter 5mm [6-8] . Two copper ends are connected with 4284A impedance analyzer, and the compressive stress and current are all along composite film thickness direction. Impedance is tested with 4284A impedance analyzer, where current amplitude is 10mA, AC frequency is 0.6kHz and compressive stress is 0MPa to 1.182MPa. Use the rangeability of impedance ΔZ to characterize the film’s piezomagnetic properties. ΔZ = Zσ − (1) Z 0 In the equation, Zσ is for impedance value when the compressive stress is σ ; Z 0 is for impedance value when the compressive stress is 0. III. EXPERIMENTAL RESULTS AND ANALYSIS A. The equivalent circuit model of composite film piezomagnetic effects The composite film sandwiched between two copper foils, current flows through along thickness direction of composite films sandwiched between two copper foils, and the compressive stress and current are all along composite film thickness direction.the copper foil is a conductor, and the composite films is an insulator with large resistivity, so the composite film and copper foils form a parallel-plate capacitor. So the system can be equivalent as a resistance and capacitance in series model. © 2010 ACADEMY PUBLISHER AP-PROC-CS-10CN006 47
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Proceedings The Second Internationa
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Table of Contents Message from the
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Strong earthquake 0.1< M L
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indirect causes, and the logical re
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egression. Granger causality test i
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B. Evaluation We have evaluated thi
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used as a source and neighboring ce
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Figure 3. Drainage networks generat
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Combinational logic unit failures i
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Tabal.1 Combinational fault logic t
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under the endorsement of both the m
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TABLE I. DESCRIPTION OF PROPOSITION
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Figure 2. The process of the invers
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Figure 9. (a)the original image.(b)
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In order to reduce to the number of
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that studying being going to be to
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Reference[10] analyzed the evolutio
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module, communication module, apper
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After the comprehensive performance
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system testing can be seen that the
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III. AUTONOMIC RESOURCE ALLOCATION
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The QoE i (T i ) is the ith user’
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nodes will be formed one cluster, t
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Where n is the number of data point
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Keyboard event Application User mod
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SQL Azure will eventually include a
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The nodes in the suffix tree are dr
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[3] Y. Li, S. M. Chung, and J. D. H
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some drilling fluid produces hydrog
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"normalization", whose membership b
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and minimum structural elements in
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esults of the spatial transform par
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B. Research on protocol actions Com
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ACKNOWLEDGMENT This work is funded
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A. Problem Description In a small b
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[4] Huang, Hung, and J. Y. jen Hsu.
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Further by calculating, the followi
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TABLE II. THE CONCENTRATION BETWEEN
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private key that obtained by using
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ontology, and the domain dictionary
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Eq.4 is NP-hard and can be solved b
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Where: G i is the selection field o
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Theorem 2.4([10]). Let L 1 and L 2
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The relation between the lattice im
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Figure 2. Example of single-step de
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evocation and the fourth group stor
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focused mainly on rule-based forms
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Ⅵ. CONCLUSION Figure 6. The Flask
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EDCF in comparison with DCF, has so
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B. Simulation results and analysis
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in routing table. When search resou
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others through the selective emotio
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such as weather information, techno
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the opening window, a related page
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1) Process context storage areas. I
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V. CONCLUSION In this thesis, sCPU-
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main types of horizontal search env
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Enterprise Portal security provides
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[2] Kumaravel, N., and Kavitha, V.,
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output, so BP network has been wide
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input to the artificial neural netw
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(2) In a process (tokens from outsi
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The reduction process consists of t
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all eight normal vectors are identi
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Error 8000 7000 6000 5000 4000 3000
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Architecture (AMBA) a new bus archi
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four layers.The far right of the gr
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TABLE II. OPERATIONAL EMPLOYEE TABL
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A. Object-relational Type To audit
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to execution time. Also, DBA would
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Liping Chen .......................
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