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An investigation of the cavitation and vibration phenomena in a cylindrical cyclone 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 12, 页码: 12
作者:  Chen H(陈虎);  Liu S(刘硕);  Zhang, Jian;  Xu JY(许晶禹)
Adobe PDF(3471Kb)  |  收藏  |  浏览/下载:51/0  |  提交时间:2024/01/22
An investigation of a gas-liquid swirling flow with shear-thinning power-law liquids 期刊论文
PHYSICS OF FLUIDS, 2022, 卷号: 34, 期号: 7, 页码: 17
作者:  Liu S(刘硕);  Zhang J(张健);  Xu JY(许晶禹)
Adobe PDF(7222Kb)  |  收藏  |  浏览/下载:217/23  |  提交时间:2022/08/22
Oil-water separation in a cylindrical cyclone with vortex finder 期刊论文
PHYSICS OF FLUIDS, 2022, 卷号: 34, 期号: 3, 页码: 11
作者:  Zhang J(张健);  He YT(何云腾);  Liu S(刘硕);  Xu JY(许晶禹)
Adobe PDF(2932Kb)  |  收藏  |  浏览/下载:217/36  |  提交时间:2022/05/17
Investigation of the Gas-Liquid Two-Phase Flow and Separation Behaviors at Inclined T-Junction Pipelines 期刊论文
ACS OMEGA, 2020, 卷号: 5, 期号: 34, 页码: 21443-21450
作者:  Zhang J(张健);  Wu QL;  Liu S(刘硕);  Xu JY(许晶禹)
Adobe PDF(3359Kb)  |  收藏  |  浏览/下载:250/68  |  提交时间:2020/11/30
Evaluation of the Behavioral Characteristics in a Gas and Heavy Oil Stratified Flow According to the Herschel-Bulkley Fluid Model 期刊论文
ACS OMEGA, 2020, 卷号: 5, 期号: 28, 页码: 17787-17800
作者:  Hou LT(侯林彤);  Liu S(刘硕);  Zhang J(张健);  Xu JY(许晶禹)
Adobe PDF(3708Kb)  |  收藏  |  浏览/下载:267/44  |  提交时间:2020/08/31
Investigation into atomization spray blending property in heavy crude oil extraction under laboratory conditions 期刊论文
Journal of Petroleum Science and Engineering, 2020, 卷号: 184, 页码: 106494
作者:  Niu J(牛骏);  Liu S(刘硕);  Xu JY(许晶禹)
Adobe PDF(5746Kb)  |  收藏  |  浏览/下载:793/257  |  提交时间:2019/09/20
Heavy crude oil extraction  Atomization spray  Blending  Viscosity reduction  Droplet behavior  
Apparent viscosity characteristics and prediction model of an unstable oil-in-water or water-in-oil dispersion system 期刊论文
Journal of Dispersion Science and Technology, 2019, 卷号: 40, 期号: 11, 页码: 1645-1656
作者:  Zhang J(张健);  Xu JY(许晶禹)
浏览  |  Adobe PDF(2790Kb)  |  收藏  |  浏览/下载:325/97  |  提交时间:2019/10/09
Unstable mixtures  apparent viscosity  non-Newtonian fluid  prediction model