Exact solution of elasto-plastic stresses in a metal-matrix composite beam of arbitrary orientation subjected to transverse loads

An analytical elasto-plastic stress analysis is presented for a metal-matrix composite beam of arbitrary orientation subjected to a single transverse force applied to the free end of the beam and a uniformly distributed load. The material is assumed to be perfectly plastic in the elasto-plastic solution. A composite consisting of stainless-steel-reinforced aluminum was produced for this work. Sample problems are given for various orientation angles. Elastic, elastoplastic and residual normal and shear stresses are calculated. The location of the elasto-plastic boundary of the beam is obtained according to the x coordinates of the beam.     

共轭高分子三阶非线性光学材料

概述了ｎ－共轭高分子材料的三阶非线性光学性质，着重讨论了化学结构对其光学非线性的影响，说明了ｎ－共轭聚合物的三阶非线性极化率主要取决于共轭主链的结构，侧链取代基的变化对其非线性影响不大，文中展望了共轭高分子材料在集成光学中的应用前景。     

激光光束质量因子的研究进展

本文详细分析了各种光场下光束质量M2因子。在不同的场中,A.E.Siegman当初所定义的M2因子,已经有了很大的变化,因而M2因子的特性也与当初不同,不仅M2因子可以大于等于1,而且可以小于1,甚至小于0。其反映的物理意义,也从经典场中的衍射极限倍数,变化为非经典场中的准直性量度以及对空间相干性的某些反映。此外还列举并分析了几种特殊的光束质量因子,最后讨论了M2因子应用的问题并指出了其局限性。     

螺旋弹簧的非线性理论及实验研究

本文通过对经典的圆柱螺旋弹簧理论的修正,给出了非线性理论解析公式.还通过对螺旋弹簧的精确测量和处理,验证了本文的非线性理论.     

Applications of Soliton Transmission Control in Optimal Design of Long－Haul Soliton Communication System

ＡｐｐｌｉｃａｔｉｏｎｓｏｆｃｈａｏｓｉｎｓｐｒｅａｄｓｐｅｃｔｒｕｍｃｏｍｍｕｎｉｃａｔｉｏｎｓＡｐｐｌｉｃａｔｉｏｎｓｏｆＳｏｌｉｔｏｎＴｒａｎｓｍｉｓｓｉｏｎＣｏｎｔｒｏｌｉｎＯｐｔｉｍａｌＤｅｓｉｇｎｏｆＬｏｎｇ－ＨａｕｌＳｏｌｉｔｏｎＣｏｍ...     

Hastelloy B-2封头加工

HastelloyB - 2是哈氏合金中最难制造和加工的镍基合金之一 ,尤其是化工容器中的封头 ,其制作工艺过程较复杂 ,这种材料较昂贵 ,目前在国内化工行业应用很少 ,因此掌握这种材料的制造技术具有重要的意义 ,本文阐述了HastelloyB - 2封头的坯料焊接、旋压成形、固溶处理及酸洗等工艺过程。     

带钢窄边线状裂纹缺陷的形成原因及预防措施

本文通过对带钢窄边线状裂纹缺陷的金相显微组织观察和扫描电镜与能谱分析，确定了带钢窄边线状裂纹缺陷的形成原因，并针对原因提出了相应的预防措施，有效地控制了带钢窄边线状裂纹缺陷的重复发生。     

Identification environment and robust forecasting for nonlinear time series

In this paper, the methods of time series for nonlinearity are briefly surveyed, with particular attention paid to a new test design based on a neural network specification. The proposed integrated expert system contains two main components: an identification environment and a robust forecasting design. The identification environment can be viewed as a integrated dynamic design in which cognitive capabilities arise as a direct consequence of their self-organizational properties. The integrated framework used for discussing the similarities and differences in the nonlinear time series behavior is presented. Moreover, its performance in prediction proves to be superior than the former work. For the investigation of robust forecasting, we perform a simulation study to demonstrate the applicability and the forecasting performance.     

A globally stable discrete-time controller for current-fed induction motors

In this short paper we present a discrete-time field oriented controller (FOC) for current-fed induction motors which insures global asymptotic speed regulation as well as rotor flux norm tracking. To the best of our knowledge, this is the first time such a result is rigorously established for a controller implemented in discrete-time. To insure global stability a condition on the reference for the rotor flux norm, which is time-varying, is imposed. This condition disappears as the sampling period goes to zero, hence allowing for independent speed regulation and rotor flux norm tracking. One important feature of our scheme is that, compared with the first-difference approximation of the classical indirect FOC, the additional computational burden is negligible. It is also shown that the result can easily be extended to the case of tracking time-varying references in speed or position.     

Identification of delayed system using instrumental variable method

System identification uses system inputs and outputs to raise mathematical models.Various techniques of system identification exist that offer a nominal model and an uncertainty bound.Many practical systems such as thermal processes & chemical processes have inbuilt time delay.If the time delay used in the system model for controller design does not concur with the actual process time delay,a closed-loop system may be unstable or demonstrate unacceptable transient response characteristics so here the time delay is assumed to be time-invariant. This paper proposes on-line identification of delayed complex/uncertain systems using instrumental variable(Ⅳ) method.Parametric uncertainty has been considered which may be represented by variations of certain system parameters over some possible range.This method allows consistent estimation when the system parameters are associated with the noise terms,as the IV methods(IVM’s)usually make no assumption on the noise correlation configuration.The faster convergence of the parameters including noise terms has been proved in this paper.Iterative prefiltering(IP)method has also been used for the identification of the delayed uncertain system and the graphical results given in this paper demonstrate that the convergence results are inferior to the instrumental variable method.