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RECRYSTALLIZATION TEXTURE INCOLD ROLLED Cu 30mass%Zn BRASS HEATED BY LASER BEAM

Acta Metallurgica Sinica(English Letters) 1999年第4期12卷 664-667页

作者： Y.N.Wang1) , B.L.Wu2) ,L.Zuo1) and Z.D.Linag1) 1) Department of Materials Science & engineering , Northeastern University ,shenyang 110006 ,china 2) shenyang institute of aeronautical engineering ,shenyang 110034 , china

Heating rate playsanimportantroleon recrystallizationtextureofcold deformed ***,thelaser heatingtechnique wasusedtotheultrarapidlyannealingon acold rolledCu 30 mass% Zn alloy. The experimental resultsshow thatthe texture development differs from those observed in the case of conventional annealing. When primary recrystallization completes,the grainsizeisvery fineandthegrain orientation distributionisalmostrandom . Withthecontinuousgrain growing,the dispersioncharacterofthegrainorientationsstillre mains. The possible mechanismson theevolution of ultrarapid recryctallization texture were discussed.

关键词： Cu 30 mass% Zn alloy recrystallization texture laser heating

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方坯连铸机结晶器凝固传热的模型研究

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特种铸造及有色合金 2004年第6期24卷 37-40页

作者：李东辉白金兰邱以清刘相华王国栋沈阳工业学院沈阳航空工业学院东北大学

开发了方坯连铸机结晶器内非稳态凝固传热的计算软件 ,能够预测结晶器内的温度分布和坯壳厚度。模型考虑了凝固时横、纵向以及角部气隙的存在所造成的传热不均匀。同时 ,采用等效比热法处理了凝固前沿产生的结晶潜热。并以生产厂方坯为... 详细信息

开发了方坯连铸机结晶器内非稳态凝固传热的计算软件 ,能够预测结晶器内的温度分布和坯壳厚度。模型考虑了凝固时横、纵向以及角部气隙的存在所造成的传热不均匀。同时 ,采用等效比热法处理了凝固前沿产生的结晶潜热。并以生产厂方坯为研究对象 ,得出了结晶器温度分布规律、凝固坯壳生成规律 ,分析了拉速对铸坯温度和坯壳厚度的影响。结果表明。

关键词：连铸结晶器热传输数学模型

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Application of LMD18245 in Two Phase Hybrid Stepping Motor Driver

Application of LMD18245 in Two Phase Hybrid Stepping Motor D...

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2005国际电机与系统学术会议

作者： Pu Ji Xiuhe Wang Feng Lin Rong Zhang Shiyong Liu Department of Electrical engineering Shandong University Jinan 250061 china shenyang institute of aeronautical engineering shenyang 110034 china

＜正＞This paper proposed a PWM control circuit for two-phase hybrid stepping motor based on LMD18245. The circuit uses two pieces of EPROMs and DACs to achieve 1/5 microstepping. Choosing different address of EPROM by selecting the coding switch, it can output different current and number of subdivision. The driver system has quite good characteristic and is quite simple, reliable and versatile.

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Adaptive Backstepping Sliding Mode Control for Nonlinear Systems with Neural Networks

Adaptive Backstepping Sliding Mode Control for Nonlinear Sys...

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2009中国控制与决策会议

作者： Hongmei Zhang~(1,2),Guoshan Zhang~1 1.School of Electrical engineering & Automation,Tianjin University,Tianjin 300072,china 2.shenyang institute of aeronautical engineering,shenyang 110136,china

＜正＞The backstepping control is investigated for a class of unknown nonlinear systems in parametric-pure-feedback *** networks（NNs） are applied to approximate the unknown *** adaptive laws of the weights of NN and the ideal sliding mode are derived in the sense of Lyapunov function,so the stability can be guaranteed. The proposed control not only relaxes the assumptions of nonlinear systems,but also holds the ***, the tracking error can converge to zero *** illustrate the effectiveness of the proposed approach.

关键词： backstepping control adaptive control sliding mode neural networks nonlinear systems

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Dynamic Neural Network Based Genetic Algorithm Optimizing for Short Term Load Forecasting

Dynamic Neural Network Based Genetic Algorithm Optimizing fo...

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2010 Chinese Control and Decision Conference

作者： Yan Wang~(1,2),Yuanwei Jing~1,Weilun Zhao~2,Yan-e Mao~(1,3) 1.College of Information Science and engineering,Northeastern University,shenyang,110004,china 2.shenyang institute of engineering,shenyang,110136,china 3.shenyang institute of aeronautical engineering,shenyang 110136,china

＜正＞Short term load forecasting（STLF） plays a signi- ficant role in the management of power system of countries and regions on the grounds of insufficient electric energy for increased *** paper presents an approach of back propagation neural network based genetic algorithm（GA） optimizing to develop the accuracy of *** GA’s optimizing and BP neural network’s dynamic feature,the weight optimization is realized by selection,crossing and mutation *** load time series from a practical power system,we tested the performance of BP neural network based genetic algorithm optimizing by comparing its predictions with that of BP network.

关键词： Short term load forecasting genetic algorithm BP neural network

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Robust Adaptive Reliable Tracking Control for a class of Uncertain Switched Fuzzy Systems

Robust Adaptive Reliable Tracking Control for a class of Unc...

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2009中国控制与决策会议

作者： Le Zhang~1,Shuliang Li~2,Hong Yang~1 1.Key Laboratory of Manufacturing Industrial Integrated Automation,shenyang University,shenyang 110044,china 2.shenyang institute of aeronautical engineering,shenyang 110034,china

The problem,which combines the robust adaptive reliable control of uncertain stitched fuzzy system,is studied. Address the robust adaptive reliable control issue of nonlinear systems based on the uncertain switched fuzzy model,which each subsystem is an uncertain Takagi-Sugeno(T-S) fuzzy *** parametric uncertainly terms into building the T-S model for nonlinear systems,the uncertain switched fuzzy model may approach to the original system more exactly. When the upper bounds of the disturbances are unknown,and the actuator is serious failure and the residual part of actuator can not make original system stable,roust fuzzy adaptive reliable controller is built to ensure the relevant closed-loop system is uniformly ultimately bounded,by using switching technique and multiple Lyapunov function *** robustness and reliability are guaranteed for the uncertain closed-loop switched fuzzy system in sense of fuzzy controller.A simulation offered the effectiveness of the proposed method.

关键词： switched system multiple Lyapunov functions switching law robust tracking control adaptive control

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Stereovision Measurement Method Based on Neural Network

Stereovision Measurement Method Based on Neural Network

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ICEMI'2005第七届国际电子测量与仪器学术会议

作者： k Liu Yanmei1 2 Xue Dingyu1 Xu Xinhe1 (1.School of Information Science & engineering Northeastern University Shengyang 110004 china) (2. shenyang institute of aeronautical engineering shenyang 110034 china)

Artificial neural networks are used to learn the relationships between the image information and the 3D information. It neither requires an accurate mathematical model nor needs any priori knowledge a

关键词： Stereovision camera calibration artificial neural network position measurement visual servoing.

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Negative Sequence Eddy Current Field Analysis of a 1055 MVA Turbogenerator by Using 3D Finite Element Methods

Negative Sequence Eddy Current Field Analysis of a 1055 MVA ...

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2005国际电机与系统学术会议

作者： Dong Jianyang Liang Xubiao Lin Feng Yang Shiyou Ni Guangzheng Department of Electrical engineering Zhejiang University Hangzhou 310027 chinaShanghai Turbine Generator Co. Ltd. Shanghai 200240 china shenyang institute of aeronautical engineering shenyang 110034 china

＜正＞ The 3D negative sequence currents arising from unbalance system operations in large turbogenerators are studied by using the finite element method. The mathematical models of the three dimensional negative sequence eddy current fields of large turbogenerators considering the flexible slots are firstly proposed. To emulate the distributed exciting sources of the negative sequence current fields with enough precisions, the geometrical complication of the stator are accurately modeled in the proposed solid models, making it be readily to take into account of practical distributions of the negative sequence exciting currents. And finally, the negative sequence eddy current fields of a 1055 MVA turbogenerator are studied extensively by using numerical simulation results.

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第三次科技革命对现代奥林匹克运动的影响

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体育成人教育学刊 2004年第4期20卷 29-30页

作者：崔野王智明郭英杰沈阳航空工业学院体育部辽宁沈阳110034 辽宁工学院体育部辽宁沈阳121000 沈阳体育学院辽宁沈阳110032

作为人类文明史上继蒸汽技术革命和电力技术革命之后科技领域里的又一次重大飞跃 ,第三次科技革命对人类社会经济、政治、文化、体育等诸多领域的发展起到了巨大的推动作用。就第三次科技革命的发起时间、特点及对现代奥林匹克运动发展... 详细信息

作为人类文明史上继蒸汽技术革命和电力技术革命之后科技领域里的又一次重大飞跃 ,第三次科技革命对人类社会经济、政治、文化、体育等诸多领域的发展起到了巨大的推动作用。就第三次科技革命的发起时间、特点及对现代奥林匹克运动发展的影响等方面进行了分析。

关键词：第三次科技革命现代奥林匹克运动影响

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Study of Road Surface Profile Based on Maximum Entropy Methods

Study of Road Surface Profile Based on Maximum Entropy Metho...

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2009中国控制与决策会议

作者： Guosheng Zhang~1,Tianxia Zhang~1,Wei Zhou~2,Daqian Zhang~(1,3),Xiangyu Meng~1,Lixin Guo~1 1.School of Mechanical engineering & Automation,Northeastern University,shenyang 110004,china 2.Research institute of Highway Ministry of Communications.Beijing 100088,china 3.shenyang institute of aeronautical engineering,shenyang 110136,china

＜正＞The classical road spectrum estimation（FFT） is often used to deal with the data in traditional road spectum *** test datum after windowed often leads to side-lob,false peaks and low precise analyse *** paper uses the maximum entropy method to cope with the road response spectum signal,analyzes the effects of the AR modeling order choosing to the road spectum estimation,gets the reasonable order,studies the energy distribution of measured grade-C road spectum and compares the difference between the classical FFT spectrum estimation and the maximum entropy *** research result shows that the maxinum entropy estimation has special advantages of high resolution and little peak *** the method to deal with short records road spectum signal not only overcomes the defects of classical road spectum estimation,but also be easy to realize in projects.

关键词： Road surface profile Response spectum signal FFT spectrum estimation Maximum entropy methods

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