Advanced Materials Research Vols. 457-458

Abstract: Here we studied the effects of plasma and blood on quantum dots by capillary electrophoresis. The fluorescence of QDs can be observed using capillary electrophoresis even at 24 hr post-injection.

Abstract: Aiming at the requirements of autonomous control for stratospheric airships, based on description of the modeling plant and forces analysis in detail, the dynamic model is established by Newton Method. The motion characteristics of airships under control action are analyzed using simulation method. Simulation results indicate the correctness of dynamic model, and can make itself a theoretical basis for the overall design of the stratospheric airship.

Abstract: Small crystalline ZSM-5 was synthesized by a hydrothermal synthesis procedure and was characterized by XRD, SEM and N2-absorption. The results show that small crystalline ZSM-5 particles grow into larger agglomerates with a diameter of 100-400 nm, resulting in mesopore and higher surface area. During conversion of methanol to aromatics, small crystalline ZSM-5 catalyst performances better than micron-size ZSM-5 catalyst in aromatic selectivity and lifetime. The aromatic selectivity could reach to 21.7%, and the small crystalline ZSM-5 catalyst shows no deactivation during first 24h.

Abstract: Influences of the molar fractions of AlCl₃ and temperature on room temperature molten salts 1-ethyl-3-methyl-imidazolium Chloride /Chloroaluminate [Emim]Cl/AlCl₃ are studied by molecular dynamics simulation. The physical and chemical properties such as density, diffusion coefficients, viscosity, conductivity of [Emim]Cl/AlCl₃ with different molar fraction of AlCl₃ are calculated. The density is obtained as 1.1744g/cm³ for [Emim]Cl, which agree well with the experimental value (1.186g/cm³ ). It was shown that the density and conductivity increase, whereas the viscosity decreases with the increasing of molar fraction of AlCl₃. The self-diffusion coefficients of [Emim]⁺, Cl^- and AlCl₃ increases and the changes of self-diffusion coefficient of AlCl₃ is the biggest as to molar fraction increase. It is shown that the conductivity, the self-diffusion coefficient of particles all increase, and the changes of AlCl₃ is the biggest with the increasing of temperature, whereas the density and viscosity reduce.

Abstract: The aluminum foam materials have studied for the last 15 years in China, from laboratory experiments to industrialized scale. we can manufacture 800mm×2000mm aluminum foam board products. The essential parameters of our aluminum foam product are as follows, density: 0.3~0.6g/cm³; porosity: 77%~88%; pore diameter 5MPa. Some properties of aluminium foam materials were studied such as sound absorption, energy absorption, impact bending strength of aluminum (steel) plate/Al foam sandwich, etc.

Abstract: In this paper, based on the requirement of Hydraulic Fault Diagnosis, Hydraulic Fault Diagnosis system is designed. Subpanel calling Technology is used to calling sub VI to improve system running rate. Advantage of LabVIEW and MATLAB is integrated in this Fault Diagnosis software. To realizing all analysis functions, commands of Matlab is called under the Software Framework to and it is operated easily.

Abstract: A CuZnAl-based hybrid material was prepared by co-precipitation impregnation method using the active components of methanol synthesis material and pseudo-boehmite as the precursors. The as-prepared material was evaluated for the direct synthesis of dimethyl ether (DME) from syngas in a pressurized continuous flow fixed-bed reactor system. It was revealed that the hybrid material showed high activity and selectivity after an induced period, i.e. the CO conversion and DME selectivity reached as high as 81% and 67%, respectively. Moreover, it was observed that there was only slight carbon which could be eliminated rather than graphite carbon deposited on the material after run for 150 h, indicating its good stability for the direct synthesis process .

Abstract: Safe shaft tower operation is an important guarantee for mine production. It’s necessary for monitoring to develop more effective techniques because the traditional measurements are inadequate for the purpose. For this reason, GPS kinematic positioning (RTK) technique was presented to accomplish the task, meanwhile, the main error sources (multipath error) was systematically analyzed. In addition, the Empirical Mode Decomposition (EMD)-Wavelet model was proposed for extracting multipath model. To eliminate the systematic errors, the EMD decomposes the time series to high-frequency part and low-frequency part with the standards of scale selection, which is given in terms of the mean of the accumulated standardized modes, and the tendency of high-frequency part is extracted by Wavelet. Then low-frequency part and the tendency of high-frequency are reconstructed based on EMD theory and the systematic errors mitigation model is demonstrated as well. The scheme of the multipath error reduction based on the EMD-Wavelet is suggested. The experiment shows that the proposed scheme dramatically improves the precision of dynamic coordinate series about 40-70% after multipath error mitigation.

Abstract: Effect of superheat and initial rolling temperature on the morphology and distribution of sulfide in non quenched and tempered free cutting steel 30MnVS has been studied by optical microscope and scanning electron microscope. Results show that proper superheat and initial rolling temperature can turn rod-shaped sulfide into massive or globular sulfide，to alleviate sulfide segregation and pro-eutectoid ferrite distribution along the boundary of pearlite clusters in 30MnVS , increase the intragranular ferrite content and optimize the structure of continuous casting slab.

Abstract: Empirical mode decomposition (EMD) is an algorithmic construction for decomposing multi-component signals into a series of intrinsic mode functions (IMFs). However, traditional EMD may encounter the difficulty of mode mixing when a signal contains intermittency. To solve the difficulty, a Gaussian window averaging method is proposed to construct the mean envelope of a given signal in each sifting process. The numerical analysis also demonstrates promising reliability with the proposed algorithm.