1.中国科学院过程工程研究所多相复杂系统国家重点实验室,北京 100190
2.中国科学院大学中丹学院,北京 100049
3.中国科学院洁净能源创新院,辽宁 大连 116023
鲁波娜(1979—),女,博士,副研究员,bnlu@ipe.ac.cn
收稿:2019-01-07,
修回:2019-02-22,
网络首发:2026-07-24,
纸质出版:2019-05-05
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佟颖, Ahmad Nouman, 鲁波娜, 王维. 基于EMMS介尺度模型的双分散鼓泡流化床的模拟[J]. 化工学报, 2019, 70(5): 1682-1692
TONG Ying, AHMAD Nouman, LU Bona, WANG Wei. Numerical investigation of bubbling fluidized bed with binary particle mixture using EMMS mesoscale drag model[J]. CIESC Journal, 2019, 70(5): 1682-1692
佟颖, Ahmad Nouman, 鲁波娜, 王维. 基于EMMS介尺度模型的双分散鼓泡流化床的模拟[J]. 化工学报, 2019, 70(5): 1682-1692 DOI: 10.11949/j.issn.0438-1157.20190016.
TONG Ying, AHMAD Nouman, LU Bona, WANG Wei. Numerical investigation of bubbling fluidized bed with binary particle mixture using EMMS mesoscale drag model[J]. CIESC Journal, 2019, 70(5): 1682-1692 DOI: 10.11949/j.issn.0438-1157.20190016.
双分散气固鼓泡流化床中颗粒通常具有不同粒径或密度,导致产生颗粒偏析等现象,影响传递和反应行为。颗粒分离和混合与气泡运动密不可分,其中相间曳力起关键作用。最近Ahmad等提出了一种基于气泡结构的双分散介尺度曳力模型,能成功预测双分散鼓泡流化床的床层膨胀系数。本研究耦合该曳力模型与连续介质方法,模拟了两种不同的双分散鼓泡流化床,通过分析不同流化状态下的气泡运动、颗粒浓度比的轴向分布等参数,进一步检验模型的适用性。研究表明,当双分散颗粒处于完全流化状态时,耦合双分散介尺度曳力模型可合理预测不同颗粒的分离现象;而其处于过渡流化状态时,新曳力模型和传统模型均无法获得合理结果,此时调节固固曳力可改进模拟结果。
Gas-solid bubbling fluidized beds have various industrial applications. The particles involved in practical applications usually display polydisperse characteristics (having different diameter or densities)
resulting in segregation phenomena and consequently influencing flow hydrodynamics and reaction performance. Particle separation and mixing are inseparable from bubble motion
where interphase drag plays a key role. Recently
Ahmad
et al
. proposed a bubble-based mesoscale drag considering the effect of bidisperse features which is able to predict the bed expansion of binary bubbling fluidized beds. In this study
in order to investigate the applicability of the new drag model
two bubbling fluidized beds with different binary particle mixtures are simulated using
the combination of the new drag model and the continuum model. Then
the bubble motion and axial profiles of jetsam volume ratio under two different fluidization states are mainly analyzed. It is found that the new drag model can predict well the particle segregation and mixing behaviors when the binary particles are fluidized completely. However
when the binary particles are fluidized at the transition state
the new drag model shows poor predictions
and the solid-solid drag plays a notable role in improving the prediction.
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