Applications of water-stable metal-organic frameworks in the removal of water pollutants: A review.

NOx reduction behaviour in copper zeolite catalysts for ammonia SCR systems: A review

Applications of metal–organic framework-derived materials in fuel cells and metal-air batteries

Adsorptive removal of dyes from wastewater using a metal-organic framework: A review

A review of NOx and SOx emission reduction technologies for marine diesel engines and the potential evaluation of liquefied natural gas fuelled vessels

A numerical model of spray and its interaction with the gas exhaust flow and static mixer are developed to investigate the effects of the mixer on the selective catalytic reduction (SCR). The residence time of spray droplets in straight pipes with and without mixers and the interaction between spray droplets and the blades of mixers are investigated. The numerical results show that due to the improvement of evaporation rates of sprays and the ability to break droplets into smaller ones, static mixers can help SCR systems achieve better urea conversion efficiency. Furthermore, the using of mixers significantly improves the uniformity of the reducing agent in a pipe.

CFD studies on effects of SCR mixers on the performance of urea conversion and mixing of the reducing agent

Fe-based metal-organic frameworks(Fe(III)-MOFs)were synthesized by Fe2(SO4)3 and trimesic acid using microwave-assisted ball milling method. The structure of the Fe(III)-MOFs was characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM) and Fourier transform infrared spectrometry (FTIR). The thermostability of the MOFs was analyzed by thermogravimetric analysis (TGA). Fe(III)-MOFs were added in aqueous solutions to remove organic dyes. The removal efficiencies of Orange II, CR and MB reached 95.9%, 98.7%, 95.7% respectively at 10℃ and reached 97.7%, 99.7%, 97.5% respectively at 35℃ in 300 min.

Preparation of Fe(III)-MOFs by microwave-assisted ball for efficiently removing organic dyes in aqueous solutions under natural light

The Selective catalytic reduction (SCR) technology is an effective and economical method for reducing NOx emissions from the heavy duty diesel engine. To ensure a reasonable design of the SCR system, it is critical to understand the effects of space velocity (GHSV), NO2/NOx ratio, NH3/NOx ratio and structural parameters of the SCR reactor on the NOx conversion efficiency. Using the experimental method to conduct all the investigations though the entire development cycle of SCR system is expensive and would cost a long time. Numerical method as a complementary tool to bench tests can help to optimize the design and shorten the development cycle of SCR system. In this paper, a mathematical model is developed to predict the NOx conversion efficiency over a Cu catalyst. The model is calculated in the MATLAB environment. The simulation results agree well with the experimental data, which indicates that the mathematical model is reliable and can effectively predict the performance of the SCR catalytic system. Then the effects of the parameters, such as space velocity, NO2/NOx ratio, NH3/NOx ratio, length, diameter and number of channels per square inch (CPSI) of the SCR reactor on the NOx conversion efficiency were studied.

An investigation on the catalytic characteristic of NOx reduction in SCR systems

Fiber scale numerical investigations on water droplet dynamics on gas diffusion layers

The microstructure and texture evolution of Zr-xNb-0.4Mo (x = 0, 0.2, 0.4, 0.6 and 1.0 wt%) alloys are characterized using scanning electron microscopy (SEM), transmission electron microscope (TEM) and electron backscatter diffraction (EBSD) technique. The aim is to elucidate the role of primary α grains in the degree of transformation texture obeying the Burgers orientation relationship (OR) in Zr alloys. The primary α grain is produced by adjusting Nb content in Zr alloys. The crystallographic orientations of Zr-xNb-0.4Mo alloys show that the degree of transformation texture obeying the Burgers OR increases with the proportion of primary α grains decreasing. Until no primary α grains exist, the transformation texture obeys the Burgers OR strictly. The primary α grains can exert great influence on variant selection by restricting the growth of high-temperature β grains and acting as nucleation sites. The fact that primary α grains are the origins of variant selection is observed. Meanwhile, variant selection occurs in both the duplex microstructure and full martensite plates during the water-quenching process. The texture weakening of the duplex microstructure is attributed to the new texture components given by martensite plates. In terms of microstructure, a series of precipitates, Zr 3 (Nb, Mo, Fe), are found in a primary α grain. • The degree of transformation texture obeying the Burgers OR is studied. • The result shows that primary α grains are the origins of variant selection. • Texture weakening is attributed to the new components given by martensite. • Some precipitates, Zr 3 (Nb, Mo, Fe), were found in the primary α grains. 

Pengfei Feng

Papers

CFD studies on effects of SCR mixers on the performance of urea conversion and mixing of the reducing agent

Preparation of Fe(III)-MOFs by microwave-assisted ball for efficiently removing organic dyes in aqueous solutions under natural light

An investigation on the catalytic characteristic of NOx reduction in SCR systems

Fiber scale numerical investigations on water droplet dynamics on gas diffusion layers

The role of primary α grains in the degree of transformation texture obeying the Burgers orientation relationship in Zr alloys