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The absorption spectrum of malachite green (MG) in a series of aqueous solutions with surfactant octylphenol polyoxyethylene ether (10) (OP-10) has been determined by the UV-Vis spectrophotometer. The association interaction between the MG and non-ionic surfactant OP-10 in aqueous solutions resulted in obvious fading of MG. We established the thermodynamics model of association between MG and OP-10, and determined the association equilibrium constant in aqueous solutions. By measuring the absorbance of a series of aqueous solutions which have different molar concentrations of OP-10 but same concentration of MG at different time points, the order and rate constants of association reactions were determined and the reaction kinetics equation was set up. Downloaded by [New York University] at 04:44 21 July 2015 2 Graphical Abstract:

A method was proposed to remove NOx and SO2 in flue gas by using the sulfinyl functional group as a catalyst. Ozone is introduced into the flue gas to oxidize NO. Soluble NO2 and SO2 reacted with ammonia to form ammonium sulfate and ammonium nitrate, which were the raw material of the compound fertilizer. A small pilot is built in a container that can be easily transported to power plant and extracts the actual flue gas directly from the gas duct. In order to obtain the best the SO2 and NOX removal efficiency in this experiment, many parameters were changed. Such as flue gas flow, ozone / NOX ratio, liquid-gas ratio, flue gas temperature, catalyst type, catalyst concentration, solution pH value. Results indicated that SO2 was cleaned up quite efficiently and the removal efficiency was nearly 99% under all conditions. the best NOX removal efficiency can reach 88%. The NOX removal efficiency depended primarily on ozone / NOX ratio, and the temperature of flue gas also had influence on the NOX removal efficiency. The optimum pH range is 5.6-6.3. After inspection by authoritative institutions, the quality of fertilizers is superior to national standards.

Based on the concept of information entropy, this paper analyzes typical nonlinear vibration fault signals of steam turbine based on spectrum, wavelet and HHT theory methods, and extracts wavelet energy spectrum entropy, IMF energy spectrum entropy, time domain singular value entropy and frequency domain power spectrum entropy as faults. The feature is supported by a support vector machine (SVM) as a learning platform. The research results show that the fusion information entropy describes the vibration fault more comprehensively, and the support vector machine fault diagnosis model can achieve higher diagnostic accuracy.

This paper performs CFD numerical analysis on the wind direction variation characteristics of the upper part of the platform under the running condition of the whole machine, and analyses whether the current location of the equipment is suitable for placing the wind direction measuring equipment and finding a better position in the area. The vicinity of the reference point is the area where the airflow is relatively intense, and the wind direction is complex and changeable. In-depth CFD research on this flow phenomenon can obtain an intuitive wind direction state and inherently subtle changes.