In view of high energy consumption, poor flow uniformity, and short adsorption period in the actual work of vertical radial flow adsorber, computational fluid dynamics (CFD) technology and multiobjective genetic algorithm (MOGA) are used to optimize its structure. Through response surface analysis, it is found that the main structural parameters affecting adsorber performance are adsorption layer length and central channel diameter. The effect analysis of characteristic structural parameters and the calculation of multiobjective optimization show that the optimized structure has the ratio of horizontal to vertical of adsorption layer about 0.29 and the area ratio of central channel to annular channel about 0.67. Compared with the original structure, the optimized structure is reduced by 9.57% on pressure drop, increased by 0.86% on flow uniformity, and increased by 17.04% on breakthrough time. The data points on the response surface are used to fit the correlation of adsorber performance and the fitting degrees are 99.7% and 99.3%, respectively, which provided a theoretical reference for the optimal design of vertical radial flow adsorber.

An ionic Ru pincer complex was demonstrated to be highly efficient catalyst for conversion of aldoximes and aldehydes into corresponding primary amides with environmental benignity, operational convenience and catalytic loading as low as 0.5 mol%.

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