Pulverized coal cloud deflagration in a methane–oxygen atmosphere is a fairly intricate process owing to transient turbulent combustion accompanied by gas–particle premix flow. We developed a comprehensive computational fluid dynamics model that considers gas–solid two-phase flow, interaction between gaseous and discrete coal particles, and homogeneous–heterogeneous reactions. Numerical results revealed nonconforming and random particle temperature at different instants. The temperature threshold and distribution of high-temperature particles were quantitatively and qualitatively analyzed using the simulation results. Particle accumulation and agglomeration reported for previous experiments was verified and interpreted using turbulence theory. In addition, we analyzed the coupling and heat-mass transfer between coal particles and gas. This investigation has yielded the detailed mechanism of heat transfer for a dust explosion and provided valuable information for prediction, precaution, and control of an explosion involving discrete particles.     «

Pulverized coal cloud deflagration in a methane–oxygen atmosphere is a fairly intricate process owing to transient turbulent combustion accompanied by gas–particle premix flow. We developed a comprehensive computational fluid dynamics model that considers gas–solid two-phase flow, interaction between gaseous and discrete coal particles, and homogeneous–heterogeneous reactions. Numerical results revealed nonconforming and random particle temperature at different instants. The temperature threshol...     »

This work was supported by the National Key R&D Program of China (Grant no. 2018-YFC-0807-900 , 2016-YFC-0800-100 ), the General Program of National Natural Science Foundation (Grant no. 5167-4191 , 5197-4236 ), the Cultivation Fund for Excellent Doctoral Dissertation of the XUST , the Program of CSC (Grant no. 2018-0861-0249 ) funded by the China Scholarship Council , and the Key R&D Program of Shaanxi Province (Grant no. 2017-DCXL-GY-010203 ). Besides, the first author thanks a lot to Zhiqian Xue, Liang Guang, Long Ma , Zhendong Fan, and Jike Zhang for their endless inspiration and the spirit of never giving up.     «

This work was supported by the National Key R&D; Program of China (Grant no. 2018-YFC-0807-900 , 2016-YFC-0800-100 ), the General Program of National Natural Science Foundation (Grant no. 5167-4191 , 5197-4236 ), the Cultivation Fund for Excellent Doctoral Dissertation of the XUST , the Program of CSC (Grant no. 2018-0861-0249 ) funded by the China Scholarship Council , and the Key R&D; Program of Shaanxi Province (Grant no. 2017-DCXL-GY-010203 ). Besides, the first author thanks a lot to Zhiqian Xu...     »