Zhu Mengbo, Xie Geng, Liu Lang, Yang Pan, Qu Huisheng, Zhang Caixin
College of Energy Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Research Center for Functional Backfill Technology in Mine, Xi'an University of Science and Technology, Xi'an 710054, China.
Materials (Basel). 2022 Sep 1;15(17):6033. doi: 10.3390/ma15176033.
Based on the test results of laser particle size analyzer, specific surface area analyzer and infrared spectrometer, the grinding kinetics of coal gasification slag (CGS) was systematically described by using Divas-Aliavden grinding kinetics, Rosin-Rammler-Bennet (RRB) distribution model and particle size fractal theory. The influence of grinding time and particle group of CGS on the strength activity index of mortar was studied by using the strength activity index of mortar and grey correlation analysis. The results show that the particles are gradually refined before mechanical grinding of CGS for 75 min. When the mechanical grinding time is greater than 75 min, the "agglomeration phenomenon" of fine CGS particles led to the decrease in various properties. Divas-Aliavden grinding kinetics, the RRB model and fractal dimension can characterize the change of CGS particle size in the grinding process quantitatively. The strength activity index of CGS at different curing ages is positively correlated with grinding time, and the influence on the later strength activity index is the most obvious. The relationship between CGS particle size distribution and strength activity index were probed using grey correlation analysis. The CGS particle groups with the particle size of 2030 μm and 1020 μm have the greatest impact on the early and late strength activity index, respectively. Therefore, the optimal grinding time of CGS as auxiliary cementing material is 75 min, considering factors, such as economy and performance, and the specific surface area (SSA) is 4.4874 m·g.
基于激光粒度分析仪、比表面积分析仪和红外光谱仪的测试结果,运用迪瓦斯 - 阿利亚夫登研磨动力学、罗辛 - 拉梅勒 - 贝内特(RRB)分布模型和粒度分形理论,系统地描述了煤气化炉渣(CGS)的研磨动力学。通过采用砂浆强度活性指数和灰色关联分析,研究了CGS的研磨时间和颗粒群对砂浆强度活性指数的影响。结果表明,在对CGS进行75分钟机械研磨之前,颗粒逐渐细化。当机械研磨时间大于75分钟时,CGS细颗粒的“团聚现象”导致各种性能下降。迪瓦斯 - 阿利亚夫登研磨动力学、RRB模型和分形维数能够定量表征CGS在研磨过程中粒度的变化。CGS在不同养护龄期的强度活性指数与研磨时间呈正相关,且对后期强度活性指数的影响最为明显。利用灰色关联分析探讨了CGS粒度分布与强度活性指数之间的关系。粒度为2030μm和1020μm的CGS颗粒群分别对早期和后期强度活性指数影响最大。因此,综合考虑经济和性能等因素,CGS作为辅助胶凝材料的最佳研磨时间为75分钟,比表面积(SSA)为4.4874 m·g 。