全尾矿浓密压密区细观结构研究
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摘要
为对全尾矿浓密压密区的细观结构进行三维表征和定量化研究,使用显微CT对压密区进行了扫描,基于体绘制方法进行了絮团和孔隙结构的三维重构,并对絮团分形维数、絮团面积率、孔隙分支数量、孔隙尺寸、孔隙连通密度等参数的变化规律进行研究。结果表明:①压密区絮团体积所占比重较大,并且絮团连通性较好,絮团面积率与絮团分形维数的变化趋势相反;②绝大部分孔隙的分支数目不超过2个,分支长度大多较短小;③压密区孔隙结构数量众多,但孔隙基本较小,体积小于500μm3的孔隙占98.6%,表面积小于500μm2的孔隙占97.6%,孔隙结构的连通性不佳,连通密度最高为0.000 218。通过压密区絮团结构和孔隙结构的三维重构,以及对孔隙与絮团各项结构参数的分析,有利于进一步揭示全尾矿浓密压密区细观结构规律。
In order to carry out three-dimensional characterization and quantification of the meso-structure of compacted area in total tailings thickening,micro-CT is used to scan the compacted area.Based on volume rendering method,the three-dimensional reconstruction of flocs and pores structure is carried out,and the variation law of parameters such as fractal dimension of flocs,floc area ratio,pore branching distribution,pore size and pore connectivity density are studied.The results indicated that:①volume of the flocs in the compacted area accounts for a large proportion,and the floc connectivity is very good,the floc area ratio is contrary to the change trend of fractal dimension of flocs;②the majority of the pores have no more than two branches,and length of the branches is mostly short;③there are many pore structures in the compacted area,but the pore size is relatively small,the volume of pores less than 500 μm3 accounts for 98.6%,and the surface area of pores less than 500μm2 accounts for 97.6%,the connectivity of pore structure is not good,and the highest connectivity density is 0.000 218.Through three-dimensional reconstruction of the floc and pore structure in the compacted area,as well as the analysis of the structural parameters of the pores and flocs,it is helpful to reveal the law of the mesostructure of compacted area in total tailings thickening.
In order to carry out three-dimensional characterization and quantification of the meso-structure of compacted area in total tailings thickening,micro-CT is used to scan the compacted area.Based on volume rendering method,the three-dimensional reconstruction of flocs and pores structure is carried out,and the variation law of parameters such as fractal dimension of flocs,floc area ratio,pore branching distribution,pore size and pore connectivity density are studied.The results indicated that:①volume of the flocs in the compacted area accounts for a large proportion,and the floc connectivity is very good,the floc area ratio is contrary to the change trend of fractal dimension of flocs;②the majority of the pores have no more than two branches,and length of the branches is mostly short;③there are many pore structures in the compacted area,but the pore size is relatively small,the volume of pores less than 500 μm3 accounts for 98.6%,and the surface area of pores less than 500μm2 accounts for 97.6%,the connectivity of pore structure is not good,and the highest connectivity density is 0.000 218.Through three-dimensional reconstruction of the floc and pore structure in the compacted area,as well as the analysis of the structural parameters of the pores and flocs,it is helpful to reveal the law of the mesostructure of compacted area in total tailings thickening.
引文
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[2]高志勇,吴爱祥,彭乃兵,等.充填尾矿絮凝沉降规律及参数优化[J].金属矿山,2017(6):186-191.Gao Zhiyong,Wu Aixiang,Peng Naibing,et al.Research on the flocculation settlement rules and parameters optimization of filling tailings[J].Metal Mine,2017(6):186-191.
[3]高维鸿,王洪江,陈辉,等.尾矿动态浓密过程中底流浓度主要影响因素研究[J].金属矿山,2016(11):102-105.Gao Weihong,Wang Hongjiang,Chen Hui,et al.Study on main factors of underflow concentration in the dynamics thickening process of tailings[J].Metal Mine,2016(11):102-105.
[4]Rahimi M,Rezai B,Abdollahzadeh A A.Dynamic simulation of the effect of discharge rate variations on tailing thickener behavior of the coal-washing plan[tJ].International Journal of Coal Preparation and Utilization,2016,36(2):91-108.
[5]Unesi M,Noaparast M,Shafaei S Z,et al.Designing paste thickeners for copper flotation tailings,using bed depth scale-up factor[J].Nanoscience and Nanotechnology,2018,2(1):1-11.
[6]李伟,要惠芳,刘鸿福,等.基于显微CT的不同煤体结构煤三维孔隙精细表征[J].煤炭学报,2014,39(6):1127-1132.Li Wei,Yao Huifang,Liu Hongfu,et al.Advanced characterizationof three-dimensional pores in coals with different coal-body structure by micro-CT[J].Journal of China Coal Society,2014,39(6):1127-1132.
[7]赵冬,许明祥,刘国彬,等.用显微CT研究不同植被恢复模式的土壤团聚体微结构特征[J].农业工程学报,2016,32(9):123-129.Zhao Dong,Xu Mingxiang,Liu Guobin,et al.Characterization of soil aggregate microstructure under different revegetation types using micro-computed tomography[J].Transactions of the Chinese Society of Agricultural Engineering,2016,32(9):123-129.
[8]Wan Y,Straumit I,Takahashi J,et al.Micro-CT analysis of internal geometry of chopped carbon fiber tapes reinforced thermoplastics[J].Composites:Part A,2016,91:211-221.
[9]Scanziani A,Singh K,Blunt M J,et al.Automatic method for estimation of in situ effective contact angle from X-ray micro tomography images of two-phase flow in porous media[J].Journal of Colloid and Interface Science,2017,496:51-59.
[10]储荣邦,储春娟.PAM阴离子型絮凝剂在处理重金属废水中的应用[J].电镀与环保,2006,26(1):38-39.Chu Rongbang,Chu Chunjuan.Applications of PAM anionic flocculant in treating heavy metal containing wastewaters[J].Electroplating and Pollution Control,2006,26(1):38-39.
[11]李鑫,卢玉东,张晓周,等.基于工业CT的古土壤孔裂隙识别与表征[J].水土保持通报,2018,38(6):1-8.Li Xin,Lu Yudong,Zhang Xiaozhou,et al.Pore-fissure identification and characterization of paleosol based on industrial computed tomography[J].Bulletin of Soil and Water Conservation,2018,38(6):1-8.
[12]缪秀秀.双尺度孔隙结构矿堆精细表征及浸矿多场耦合模型研究[D].北京:北京科技大学,2017.Miao Xiuxiu.Dual Pore-system Ore Aggregates Characterizationand Leaching Behaviours Modelling[D].Beijing:University of Science and Technology Beijing,2017.
[13]袁小翠,吴禄慎,陈华伟.钢轨表面缺陷检测的图像预处理改进算法[J].计算机辅助设计与图形学学报,2014,26(5):800-805.Yuan Xiaocui,Wu Lushen,Chen Huawei.Improved image preprocessing algorithm for rail surface defects detection[J].Journal of Computer-aided Design&Computer Graphics,2014,26(5):800-805.
[14]Doube M,K?osowski M M,Arganda-Carreras I,et al.Bone J:free and extensible bone image analysis in Image J[J].Bone,2010,47:1076-1079.
[15]甘磊,张静举,黄太庆,等.基于CT技术的甘蔗地不同耕作措施下土壤孔隙结构研究[J].西南农业学报,2017,30(8):1843-1848.Gan Lei,Zhang Jingju,Huang Taiqing,et al.Pore structure in sugarcane soil under different tillage managements based on CT scanning[J].Southwest China Journal of Agricultural Sciences,2017,30(8):1843-1848.
[16]Schmid B,Schindelin J,Cardona A,et al.A high-level 3D visualization API for Java and Image J[J].BMC Bioinformatics,2010,11:274-280.
[17]杨保华,吴爱祥,缪秀秀.基于图像处理的矿石颗粒三维微观孔隙结构演化[J].工程科学学报,2016,38(3):328-334.Yang Baohua,Wu Aixiang,Miao Xiuxiu.3D micropore structure evolution of ore particles based on image processing[J].Chinese Journal of Engineering,2016,38(3):328-334.
[18]黄毅.基于图像分析的三维表面形貌连通性表征[D].合肥:合肥工业大学,2007.Huang Yi.Connectivity Characterization of Three-dimensional Surface Topography Based on Image Analysis[D].Hefei:Hefei University of Technology,2007.