Converter sludge drying in rotating drum using hot steel balls

被引:18
作者
Deng, Shengan [1 ]
Wen, Zhi [1 ,2 ]
Su, Fuyong [1 ,2 ]
Wang, Zhaoyu [1 ]
Lou, Guofeng [1 ,2 ]
Liu, Xunliang [1 ,2 ]
Dou, Ruifeng [1 ,2 ]
机构
[1] Univ Sci & Technol Beijing, Sch Energy & Environm Engn, Beijing 100083, Peoples R China
[2] Univ Sci & Technol Beijing, Beijing Key Lab Energy Saving & Emiss Reduct Met, Beijing 100083, Peoples R China
基金
国家重点研发计划;
关键词
Rotating drum dryer; HEAT-TRANSFER COEFFICIENT; THIN-LAYER; SEWAGE-SLUDGE; ROTARY DRYER; CONDUCTION; MODEL; BED; PERFORMANCE; PARAMETERS; SLAG;
D O I
10.1016/j.applthermaleng.2021.117368
中图分类号
O414.1 [热力学];
学科分类号
摘要
Converter sludge is a by-product of converter steelmaking and a secondary resource of recovery; however, it needs to be dried before recovery. Obtaining the expected results using traditional sludge drying technologies is difficult due to the special properties of converter sludge. In this research, we proposed a new rotating-drumdrying technology using hot steel balls. Steel balls are heated by the waste heat of metallurgical slag. This technology has the advantages of low cost, high efficiency and thorough drying, and can overcome the shortcomings of traditional technologies. This research explored the converter sludge drying in a drum through experiments. The effect of four operating parameters on the drying process was investigated, and the suitable model for the drying process was discussed. The operating parameters include sludge treatment mass (3.0/4.0/5.0/6.7/ 9.0 kg), steel ball (initial) temperature (300/500 degrees C), steel ball diameter (20/30/40 mm) and drum rotating speed (1/3/5/7 rpm). Results show that this proposed technology is feasible and efficient. Sludge drying can be accelerated by appropriately reducing the sludge treatment mass, increasing the steel ball temperature, increasing the steel ball diameter, and selecting an appropriate drum rotating speed. The Weibull model can better predict the drying process by comparing multiple models. The operating parameters have obvious relationships with the fitting parameters of the Weibull model.
引用
收藏
页数:12
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