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Structural Optimization of a Gas Distributor of Vertical Adsorption Tower Based on CFD
Bingchao GUO, Yongfei YAN, Cunlei LI, Yiwan NING, Feng GU
Abstract68)   HTML1)    PDF (2084KB)(15)      

The vertical adsorption tower is crucial for carbon dioxide removal from flue gas, but its complex and variable adsorption process poses challenges for optimal production. Achieving uniform gas distribution is essential, prompting the evaluation of various gas distributors via computational fluid dynamics (CFD). Four types were compared: no distributor, conical, truncated cone, and a combination of sieve plate with baffle. Results were assessed based on velocity vector smoothness and curve uniformity. A single sieve plate resulted in non?uniform airflow concentrated at the tower center. Types Ⅰ and Ⅱ improved flow but with uneven distribution. Type Ⅲ, featuring a sieve plate and baffle, significantly enhanced uniformity. Optimal parameters identified were a baffle diameter (d) of 100 mm and a distance (h) of 150 mm from sieve plate to air inlet. This configuration achieved the most uniform airflow distribution, demonstrating superior effectiveness in carbon dioxide adsorption processes.

2025, 45 (2): 61-67. DOI: 10.12422/j.issn.1672-6952.2025.02.008
Quantitative Analysis of Drilling Fluid Mixtures Based on Raman Spectroscopy and PLS
Guoliang Wang, Weihang Han, Cunlei Li
Abstract617)   HTML    PDF (1854KB)(462)      

Logging while drilling (LWD) technology can obtain more real formation data information than traditional logging, so it is more suitable for practical applications. What follows is how to quickly and accurately determine whether the mixture contains crude oil in the process of testing while drilling, that is, to achieve qualitative analysis of the mixture. Laser Raman spectroscopy analysis technology, as a relatively complete molecular spectroscopy technology currently developed, has been widely used in the field of many kinds of material analysis. In this paper, according to the characteristics of crude oil drilling fluid mixture, based on laser Raman spectrum analysis technology, a qualitative analysis algorithm based on partial least squares analysis was proposed. At the same time, the known Raman spectra are smoothed and denoised, baseline correction based on the fitting polynomial method, normalization and other pre?processing operations. On this basis, the feature extraction process with singular value decomposition as the main method was completed, thus attained the aim of qualitative analysis of mixture, and completed the quantitative calculation within a certain precision.

2022, 42 (1): 78-85. DOI: 10.3969/j.issn.1672-6952.2022.01.014