期刊
APPLIED THERMAL ENGINEERING
卷 131, 期 -, 页码 221-229出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2017.12.007
关键词
Growth temperature; Apparent activation energy; Kissinger-Akahira-Sunose method; Grey correlation analysis; Quasi-Newton method
资金
- National Natural Science Foundation of China [5120-4136]
- China Postdoctoral Science Foundation [2016-M-590963]
- Industrial Science and Technology Project of Shaanxi Province, China [2016-GY-192]
Hazards caused by spontaneous coal combustion are of deep concern. To explore the process of spontaneous coal combustion, we focused on the key aspects of growth temperature (T-g) and the apparent activation energy (E-a), where T-g is associated with the E-a. We used four different heating rates to perform thermogravimetric (TG) experiments to calculate E-a values through an improved Kissinger-Akahira-Su nose method. The findings revealed a sudden change point in E-a values (that is, T-g), and comparisons between experimental data and calculated results demonstrated favorable agreement. The grey correlation analysis method was used to analyze the relationship between the samples' T-g and intrinsic properties. A quasi-Newton method and general global optimization model were adopted to derive a predictive relationship for spontaneous coal combustion. The results are beneficial and crucial for elucidating the mechanism of spontaneous coal combustion, which could facilitate a thorough understanding of this process and help provide proactive loss prevention measures. (C) 2017 Elsevier Ltd. All rights reserved.
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