重介质干扰床的分选效果研究

doi:10.11799/ce202204031

[1]杨胜林等.入料粒度及床层密度对干扰床分选效果的影响煤炭科学技术[J].煤炭科学技术, 2012, 40(01):126-128 [2]陈子彤等.干扰床分选机工作原理及分选理论基础研究[J].煤炭工程, 2006, 38(4):64-66 [3]陈力攻等.三产品干扰床分选机研究与应用[J].煤炭工程, 2020, 52(2):80-83 [4]王朝阳等.三产品重介质旋流器应用的探讨［J］.煤炭加工与综合利用, 2008，(4)：17-20.[J].煤炭加工与综合利用, 2008, .(4):17-20 [5]陈志强.上升水流对干扰床分选机分选效果的影响分析［J］.选煤技术, 2018，(3)：26-28.[J].选煤技术, 2018, .(3):26-28 [6]唐利刚等.干扰流化床中细粒煤散式流化特性数值模拟研究［J］. 中国矿业大学学报，2012, 41( 1) : 86－90.[J].中国矿业大学学报, 2012, 41(1):86-90 [7]谢广元等.选矿学.第2版［M］，徐州：中国矿业大学出版社，2010:102-115.[J].选矿学, 2010, .(.):102-115 [8]马彦等.TPS干扰床分选机精细分选超低灰纯煤关键技术研究与应用［J］.选煤技术，2019，（3）：63-65.[J].选煤技术, 2019, .(3):63-65 [9]张志文.干扰床及其在粗煤泥分选中的应用[J].中国煤炭, 2006, 44(12):50-52 [10]刘国超.TBS粗煤泥分选系统工艺的优化改造［J］. 选煤技术，2017, (2) : 49 － 51.[J].选煤技术, 2017, .(2):49-51 [11]刘文礼等.干扰床分选机分选粗煤泥的规律研究[J].选煤技术, 2007(04):11-13.[J].选煤技术, 2007, .(4):11-13 [12]谢国龙等.粗煤泥分选设备及其应用分析[J].煤矿机械, 2008, 029(003):117-119 [13]王建军等.干扰床分选技术的发展与应用[J].选煤技术, 2007(03):70-72.[J].选煤技术, 2007, .(3):70-72 [14]王宏等.TBS干扰床分选机在粗煤泥分选中的应用研究[J].煤炭工程, 2009(03):95-97.[J].煤炭工程, 2009, .(3):95-97 [15]梁娜.干扰床分选机在粗煤泥分选中的应用和发展[J].中国科技纵横, 2009, 000(005):157-157

Study on the separation effect of heavy-medium interference bed

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