研究用于深度净化工业气体中的固体颗粒和有毒成分的流涡式气体流体动力波机器的效率

IF 0.4 Q4 ENGINEERING, MECHANICAL
S. R. Ganiev, O. V. Shmyrkov, V. P. Rudakov, D. V. Kurmenev, A. I. Kryukov, E. M. Konev
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引用次数: 0

摘要

本文介绍了流过式涡流气体-流体动力波机器实验模型在净化工业气体中的固体颗粒和有毒成分方面的效率。在工业气体流速为 0.097 立方米/秒,工作液体(自来水)流速为 2 升/分钟的条件下,工业气体中 5-60 μm 大小、浓度为 10-60 克/立方米的固体颗粒的净化效率达到 99.9%。在使用自来水作为工作液的情况下,浓度为 250-450 mg/m3 的氮氧化物的气体净化效率分别为 75% 和 93%;在使用 5-10% 的纯碱水溶液和 30% 的烧碱水溶液的情况下,氮氧化物的净化效率分别为 75% 和 93%。在使用自来水作为工作液体的情况下,浓度为 0.9-2.5 克/立方米的液态增塑剂颗粒对工业气体的净化效率为 99.7%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Studies on the Efficiency of a Flow Vortex Gas-Hydrodynamic Wave Machine Intended for Deep Purification of Industrial Gases from Solid Particles and Toxic Components

Studies on the Efficiency of a Flow Vortex Gas-Hydrodynamic Wave Machine Intended for Deep Purification of Industrial Gases from Solid Particles and Toxic Components

Results concerning the efficiency of an experimental model of a flow-through vortex gas-hydrodynamic wave machine in the purification of industrial gases from solid particles and toxic components are presented. At an industrial gas flow rate of 0.097 m3/s and a working liquid (tap water) flow rate of 2 L/min, the efficiency of industrial gases purification from solid particles 5–60 μm in size with a concentration of 10–60 g/m3 amounts to 99.9%. The efficiency of gas purification from nitrogen oxides with a concentration of 250–450 mg/m3 with the use of tap water as a working liquid amounts to 75 and 93% for the case of using aqueous solutions of 5–10% soda ash and 30% caustic soda, respectively. The purification efficiency of industrial gases from liquid plasticizer particles at a concentration of 0.9–2.5 g/m3 with the use of tap water as the working liquid is 99.7%.

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来源期刊
CiteScore
0.80
自引率
33.30%
发文量
61
期刊介绍: Journal of Machinery Manufacture and Reliability  is devoted to advances in machine design; CAD/CAM; experimental mechanics of machines, machine life expectancy, and reliability studies; machine dynamics and kinematics; vibration, acoustics, and stress/strain; wear resistance engineering; real-time machine operation diagnostics; robotic systems; new materials and manufacturing processes, and other topics.
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