A simple step-change method to determine mean residence time in rotary kiln and a predictive model at low inclination

作者：Zhang, Zisheng; Wu, Yuanqing; Li, Hong; Li, Xingang; Gao, Xin^*

来源：Powder Technology, 2018, 333: 30-37.

DOI：10.1016/j.powtec.2018.04.002

• Rotary kilns
• Mean residence time
• Residence time distribution
• Tracer
• Predictive model
• Low inclination

Rotary kilns are widely used for chemical, metallurgical, environmental protection and fossil fuels pyrolysis processes. To react those thermal treatments efficiently for industrial production, it is necessary to study the residence time distribution (RTD) of materials in rotary kilns. In this paper, a simple step-change method is developed to measure the residence time distribution of solid particles in a rotary kiln. Using salts as the tracer and recording the salinity by the conductivity meter, the effluent salinity curves can be converted to E (t) curves, namely the residence time distribution. The influential factors of the mean residence time (MRT) and the residence time distribution such as rotational speed, incline, feed rate and particle size are evaluated and discussed. The experimental results are compared with three different models, namely the Sullivan model, Chatterjee model and Saeman model. The experimental mean residence time results match well with the Sullivan model except at low incline angles. To predict the mean residence time in rotary kilns at low inclination, which has not been studied before, the experiments at low inclination are conducted and predictive model is presented. The calculated values agree well with the experimental results at low inclination.

• 出版日期2018-6-15
• 单位天津大学