Applied Mechanics and Materials Vols. 148-149

Abstract: The biosorption of Malachite Green from aqueous solution was investigated by using pretreated fungal biomass in a batch system. The effects of initial pH, NaCl concentration, initial dye concentration and temperature on dye biosorption were studied. The results showed that the pretreated fungal biomass exhibited higher dye removal at initial pH value of 5.0-6.0. The bosorption capacity was increased with the increasing temperature in studied temperature range. The Langmuir and Freundlich isotherm models were applied to experimental equilibrium data and the Langmuir model better described the equilibrium dye uptake than the Freundlich model. Thermodynamic studies revealed that the biosorption process was successful, spontaneous and endothermic in nature.

Abstract: Biometric measurements are noisy and the existing techniques cannot be used directly to construct biometric-based scheme. Hence an error-tolerance property(Fuzzy) can be used to solve this problem. In this paper, a new biometric identity based signature scheme is proposed with the error-tolerance property. Our scheme is constructed in the standard model and achieves the selective identity security. In addition, the security of our scheme is reduced to a natural assumption-Computation Diffie-Hellman(CDH) assumption instead of other strong assumptions.

Abstract: For the operational effectiveness comparison of lightweight shipborne underwater vehicle,establish and implement anti-ship underwater vehicle’s and two types of lightweight shipborne underwater vehicle’s trajectory and hit probability model,proposed the method of certification position for lightweight shipborne underwater vehicle,given the operational effectiveness calculation model.Finally,through the practical example of two types of lightweight shipborne underwater vehicle’s operational effectiveness comparison.The calculation results testify that this method is feasibility and effectiveness.The research is of great reference value for the assess different types of lightweight shipborne underwater vehicle.

Abstract: Because of the characteristic of the gray relation analysis and the advantage of the alpha-trimmed mean filter, an efficient technique for mixed noise removal in images was proposed. This algorithm can adjust the filter coefficients adaptively according to various pieces of the image features. Experiment results show that the proposed algorithm which greatly improved efficiently, it not only can remove mixed noise in image, but also can keep the details of the image.

Abstract: This paper designs a bubbling type of desulfurization reactor, which simulates flue gas nitrogen and sulfur dioxide according to a certain flow ratio, equipped with absorber through into the bubbling type desulfurization absorb and reactor by iodine volume method, measures import and export of SO2 concentration and pH value of absorber. The desulfurization rate of fly ash slurry is measured in the small drum bubble desulfurization reactor device. Results show that increasing the concentration of fly ash and entrance SO2 concentration, and decreasing particle size of fly ash will increase the desulfurization rate of fly ash slurry. The main mechanisms of fly ash desulfurization are physical adsorption and chemical adsorption.

Abstract: In a vertical condenser tube installed at the cold end of a non-vacuum separate type heat pipe, non condensable (NC) gases in the system is pushed by continuous vapor flowing from the hot end into the condenser tube at the cold end, gathering above condensate at the outlet of the condenser tube. Therefore, condensation heat transfer of vapor with the stagnant NC gases occurs in the condenser tube. It is necessary to comprehend the effects of stagnant NC gases on condensation heat transfer. A VOF method was adopted to analyze how stagnant NC gases affect condensation heat transfer, a mass fraction equation of NC gases was used to solve diffusion between NC gases and vapor, a Hertz-Knudsen-Schrage model was applied to deal with condensation rate of vapor on the surface of liquid film. Parameters, including volume fraction, velocity, pressure, mass fraction of NC gases and condensation heat transfer coefficients (HTC), were obtained. Results show that a lot of NC gases deposits in the condenser tube rear, leading a lot of vapor to condense at the condenser tube front. NC gases slightly affect condensation HTC of the tube front, and severely degrade condensation HTC of the tube rear. Furthermore, an increase in mass of NC gases causes a rise in pressure and velocity, improving condensation heat transfer.

Abstract: Computer experiments are widely used for the design and development of products. Therefore, a new method for constructing optimal experimental design(SOEDM) is developed in this paper. There are two major developments involved in this work. One is on developing a multi- objective optimal criterion by combining correlation and space-filling criteria. The other is on developing an efficient global optimal search algorithm, named as improved enhanced stochastic evolutionary (IESE) algorithm. Several examples are presented to show: the optimal designs are good in terms of both the correlation and distance criteria, the new method can be used in other experimental designs besides Latin hypercube design the number of levels of each factor is equal to the number of the experimental schemes, and the new algorithm is fast.

Abstract: In order to extract house features meeting client demand in housing sales, and to provide housing design strategy for real estate developers in timely. This paper designs an intelligent housing sales management system based on association analysis, which can mine house features liked by client from these some sales transactions based on managing housing sales information. Not only has the system these functions, such as information management, information inquiry and information statistics, but also intelligent decision function, which gains house features liked by client and further providing housing design strategy for real estate developers. The main feature of the system is using the method of association analysis to mine these latent association rules of house feature. This is different from traditional housing sales management system. The operation realization of the management system indicates the intelligent housing sales management system based on association analysis is convenient and practical.

Abstract: The size of ultrafine particles ranges between 1~1000nm, including metal, non-metallic, organic, inorganic and biological powder materials. Because of its inherent surface effect, small size effect and quantum effect, it has special optical properties, thermal properties, magnetic properties and mechanical properties which had been widely used in various industrial fields. Supercritical fluid technology has been used to obtain ultra-fine powder of several kind of materials. This work is focused on the systematic production of ultra-fine powder using RESS and SAS process. A systematic summary is made and different measures adopted according to the related circumstances are presented. We also summarize the effect of the process parameters of RESS and SAS process. The ongoing and more extensive research on mechanism and control measures of size, morphology and size distribution of particle should provide a better understanding of particle formation mechanism and achieve the goal of integrated use of different measures to control particle preparation process in the near future.

Abstract: This paper attempts to establish the vibration control technology based on neural network control. First, the dynamic model of vehicle suspension system is discussed, and the linear passive suspension model and nonlinear spring suspension model of the vertical acceleration are compared. It is shown that the performance of nonlinear spring suspension is better than that of the linear passive suspension model. Because of the great advantages of the neural network in dealing with the nonlinear property, secondly, model reference neural control module is introduced in the suspension system to realize the optimization of the body vertical acceleration. Simulation results demonstrate the effectiveness of the neural network adaptive controller with application to vehicle suspension.