Advanced Materials Research Vols. 154-155

Abstract: The temperature control of the glass tempering and annealing process has characteristics of time-varying parameters，nonlinear and big lag. It is difficult to meet the expected control effect with the common control method. To solve this problem，this paper puts forward a kind of fuzzy neural network controller optimized by genetic algorithm. First，it uses neural network to construct fuzzy logic system according to the structure equivalence rule，thus the optimization of fuzzy control rules and membership functions can be realized by finding the weight value of the neural network. Then，it uses the improved genetic algorithm to find the global optimum weighted factors with a high speed so to improve the performance of the controller. The simulation results show that the optimized fuzzy neural network controller can obtain an excellent control performance for the nonlinearity system with time- varying parameters and lag.

Abstract: The serpentine is a kind of phyllosilicates whose crystal structure leads to a tetrahedral-octahedral (TO) structure. Because of its unique crystal structure, micro-nano serpentine powders (MSP) in liquid lubricants can show a good tribological performance, so that lots of scholars had started extensive and in-depth studied on its tribological performance. In this research, the raw material which is Xiuyan serpentine produced from Liaoning province, China, had been made into powders with particle average diameter about 0.5 μm. The friction optimized content of MSP in the lubricant oil was studied and it were examined that the loads’ and friction pairs move velocity’s changes had effect to tribological performance in friction course. The results show that the optimal content of MSP in gasoline engine oil SJ10W-40 is 0.5 mass%, under this condition, friction coefficient can be reduced to 0.03, and the friction-reduction performance can been enhanced by 73.3%, so that the lubrication state is that boundary lubrication changes into mixed lubrication. Disclosing the tribological rule of MSP in lubricant oil under the condition of loads and the move velocity of friction pairs changing, and discovering MSP addictive to lubricant oil can extended friction pairs with high move speed and heavy loads working hours, all that can provide a theoretical basis to promote engineering.

Abstract: Electrodeposited hard chromium (EHC) coatings have been widely used for improving wear characteristics of engineering tools and components. In the electrodeposition processes, in general solutions containing hexavalent chromium have been used. Hexavalent chromium is classified as a carcinogen compound, which causes health risks if used in production, and environmental problems due to the toxic character of the wastes [1]. In the present study plasma sprayed coatings (aluminum oxide, Co-28Mo-8Cr-2Si, tungsten carbide, chrome carbide) and electrolytic hard chrome coatings corrosion resistances have been compared through electrochemical polarization tests and immersion test in 0.1 N HCl aqueous solution.

Abstract: A new polyferric silicate chloride(PFSC) was prepared by using sodium silicate, ferric chloride as raw materials, at the same time, its coagulation performance and the influencing factors were observed. The water containing algae was processed by PFSC coagulant and coagulation mechanism were discussed. The results showed that the best reaction time of PFSC preparation was 1h, temperature was 40°Cand Fe/Si mole ratio was 1. The removal efficiencies of chlorophyll a and turbidity were 82.40% and 94.97% respectively at 14mgFe•L-1 of dosage. Coagulation mechanism of PFSC is considered as the cooperation of oxidization/adsorption/charge-neutralization, adsorption-bridging and sweeping, which is the effect of silicic acid, iron and iron hydrolysate on the suspended particles in wastewater.

Abstract: Continuous casting process is used for the solidification of molten steel into semi-finished shapes. Due to lack of reliable sensors online, manual monitoring was often essential to cooling control, which was time consuming and inefficient. This paper proposes an approach to automatically monitor high-temperature casting strand based on radiation thermometry, with the help of CCD (charge coupled device) camera and digital image processing technology. The bicolorimetric temperature measurement method is introduced in detail, as well as the working principle of CCD. Programs developed by Visual C++ 6.0 complete the acquisition, processing, calculation and visualization of casting strand image data. Besides, some experiment of temperature test was carried out for bloom casting (section size of 260 mm×300 mm) in a domestic steel plant so as to verify the monitoring model. Consequently, the purpose for monitoring casting strand is achieved, which is beneficial to cooling control in the process of continuous casting.

Abstract: In this paper, two ideal formation models of serrated chips, the symmetric formation model and the unilateral right-angle formation model, have been established for the first time. Based on the ideal models and related adiabatic shear theory of serrated chip formation, the theoretical relationship among average tooth pitch, average tooth height and chip thickness are obtained. Further, the theoretical relation of the passivation coefficient of chip’s sawtooth and the chip thickness compression ratio is deduced as well. The comparison between these theoretical prediction curves and experimental data shows good agreement, which well validates the robustness of the ideal chip formation models and the correctness of the theoretical deducing analysis. The proposed ideal models may have provided a simple but effective theoretical basis for succeeding research on serrated chip morphology. Finally, the influences of most principal cutting factors on serrated chip formation are discussed on the basis of a series of finite element simulation results for practical advices of controlling serrated chips in engineering application.

Abstract: Referring to the natures of nonlinear dynamics and coupled energy domains presented by Micro-Opto-Electro-Mechanical Systems (MOEMS), a multi energy domain unified simulation language (modelica) based coupled modeling, simulation and optimization methodology is put forward. Then by choosing a micro mirror as the example, corresponding multi energy domain unified modeling and simulation processes of such a coupled micro device show the efficiency and convenience of this advanced modeling method. The dynamic input/output curves comparison also shows that the simulation result is accurate enough for system level design. At last, by using genetic optimization algorithm, the characteristics input/output curves of the micro mirror are converged to meet the ideal design requirement curves after 700 generations evolution. It proves the accuracy and efficiency of this system level simulation and optimization method.

Abstract: Various data-based soft sensor models have been established for online prediction of the silicon content in a pig iron. Actually, modeling data often contain many outliers and this can deteriorate the quality of models. However, little attention is paid to efficient outlier detection. Besides, most of traditional outlier detection methods are assumed that data are distributed (approximately) normally and thus they might be invalid for some situations. A new multivariate preprocessing method for outlier detection without any assumption of data distribution is proposed. This novel outlier detection method mainly utilizes a support vector clustering (SVC) strategy. After SVC-based preprocessing, a support vector regression soft sensor model is built. A comparative study for an industrial blast furnace is investigated and the results show its superiority.

Abstract: Non-electric welding is a novel efficient technique for emergency maintenance, which utilizes the heat released by combustion reaction to join metals without needing any power supply or gas sources. Welding experiments were performed with 45 steel as the weld object, and results showed that the weld metal jointed the weld object in a metallurgic connection with the tensile strength above 280 MPa, which proved non-electric welding a fusion welding technique. Non-electric welding technology has advantages of simple operation and good mechanical performance, therefore possesses a promising application prospect.

Abstract: The model parameters value of deformation resistance determines the prediction accuracy of rolling force model during the plate rolling. According to the influencing factors analysis of rolling force calculation error, the genetic algorithm was introduced into the self-learning method of deformation resistance, and searches the optimal value of deformation resistance on the basic of space exploration and optimization ability of genetic algorithm. The decision variable selection, the coding and decoding, the fitness evaluation and the terminal conditions process were implemented during development process of self-learning system. The results show that the optimization speed and accuracy can meet production requirement.