Authors: Anna Ulyankina, Igor Leontyev, Nina V. Smirnova
Abstract: CuOx powders with diff erently shaped particles were firstly prepared via an electrochemical method by oxidation and dispersion of copper electrodes in an electrolyte solution under pulse alternating current (PAC). By means of X-ray diffraction (XRD) and scanning electron microscopy (SEM) the current density is found to have an influence on the morphology and composition of CuOx particles. Photocatalytic efficiency of CuOx towards methyl orange (MO) degradation under visible light was investigated. The prepared polyhedral particles show the best photocatalytic activity of 81 % towards MO comparing to octahedral and spherical particles with 70 and 61 %, respectively.
330
Authors: Ling Liu, Li Yong Tang, Bing Bing Shen, Chang Zhou, Qian Tin Chen
Abstract: The synthetic methods with tailored morphology of micro-nanosized tungstate materials and with rare earths dopped were summarized, as well as the effect factors of morphology control. The properties corresponding to various morphologies controlled of the micro-nanosized tungstate materials, especially the double tungstate family were researched. And the wide prospect of this kind of material was explored. As a new creative series of tungstate materials, the double tungstate was outlooked with respect to synthesizing novelty morphologies and thus the resultant properties. The future works on the tungstate materials were discussed.
122
Authors: Zi Ying Liu, Yan Guang Sun, Xiang Rong Song
Abstract: This paper, aimed at Ganglu 1500 hot strip rolling project, developed advanced shape control system. Entry profile calculation strategy was developed. Natural output profile was defined. Profile distribution model based on the buckling limit was developed. Practical applications in domestic 1500 hot strip mill show that the setup calculation strategy achieved good effect and enhanced the profile and flatness precision
591
Abstract: This paper presents a fuzzy adaptive shape control system, which overcomes the shortcoming of simple PID controller and simple fuzzy controller. The PID parameters can be adjusted on-line in this system. The simulation result shows that the control system can improve the control performance and control quality of steel shape control.
2794
Authors: Zi Ying Liu, Yan Guang Sun, Xiang Rong Song
Abstract: This paper has researched traditional algorithms. The defects had been pointed out and proved. According to this, setup calculation algorithm was optimized. Considering strip transverse flow and creep deformation, natural output profile was defined. Practical applications in domestic 1500 hot strip mill show that the setup calculation strategy achieved good effect and enhanced the profile and flatness precision
3364
Authors: Shuang Bei Li, Lin Jie Jiang, Chunm Mei Mo, Rong Qin
Abstract: The spline finite point method (SFPM) that is based on the third order shear deformation beam theory (TSDT) is introduced to investigate the shape control of smart beam, which is integrated with PZT and SMA actuators. The governing equations of the smart beam are given by the SFPM and TSDT. The shape control problem is formulated as the problem of minimizing the objective function to study the shape control effects of the smart beam under the different control methods. To demonstrate the less computational cost and higher accuracy of the SFPM, several numerical examples are calculated. The advantages of both smart materials and the effective control of smart structure can be obtained by the hybrid actuators.
134
Authors: Li Po Yang, Bing Qiang Yu
Abstract: In the process of measuring the shape of the cold rolling strip, by combining proportion compensation with slope compensation, the signal error of edge shape should be compensated reasonably. In addition, corresponding solutions are proposed to solve the channel signal loss or the discontinuous transverse shape value which takes place occasionally in the shape measuring roller. These solutions could improve the stability of shape measuring signal, avoid serious accidents of controlling mill caused by abnormal shape signals and achieve reliable shape control without worries
314
Abstract: A new kind of shape control learning algorithm (SCLA) for training neural networks is proposed. We use the rational cubic spline (with quadratic denominator) to implement a new neural system for shape control, and construct a new kind of artificial neural networks based on given patterns. The shape can be controlled by some shape parameters, which is much different from the known algorithms for training neural networks. The numerical experiments indicate that the new method proposed in this paper demonstrates good results.
2270
Authors: Bing Qiang Yu, Li Po Yang
Abstract: Based on the shape detecting principle and the digital signal technology, a new shape meter was developed thorough theoretical analysis and industrial adjustment to develop the shape detecting roll, the shape signal processing method, the original signal compensation mechanism and so on. The shape meter has good performance and stability, which can effectively avoid the scratch of steel strip surface, accurately detect real online strip shape and provide accurate online shape datum for shape control system. It was applied in 1250 mm cold rolling mill, the actual industrial tests prove that the shape signal was stable and reliable, met the harsh condition and the online technical requirements, and could improve shape quality significantly.
238
Authors: Wang Liu, Dong Xu Li
Abstract: Large cable-network antennas are typical flexible space structures, which will inevitably generate deformations under various disturbances from out space. To avoid the degradation of shape accuracy due to deformations, it is imperative to find effective approaches to implement shape control for such antennas. In this paper, a novel application of smart piezoelectric rods that are mounted in the ring truss supporting structure of the antenna is presented to solve the shape control problem. The control mechanism is to generate displacements in opposite direction to resist primal deformations by using the direct piezoelectric effect of piezoceramic materials. Based on the genetic algorithm, optimal locations of the smart piezoelectric rods used for shape control is analyzed in the study. Numerical results demonstrate that the present shape control approach with appropriate placement of smart piezoelectric rods is feasible and effective.
602