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Quantifying growth and breakage of agglomerates in fluid-particle flow using discrete particle method 被引量:1
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作者 lingfeng zhou Junwu Wang +11 位作者 Wei Ge Shiwen Liu Jianhua Chen Ji xu Limin Wang Feiguo Chen Ning Yang Rongtao zhou Lin Zhang Qi Chang Philippe Ricoux Alvaro Fernandez 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2018年第5期914-921,共8页
The cohesive solids in liquid flows are featured by the dynamic growth and breakage of agglomerates, and the difficulties in the development, design and optimization of these systems are related to this significant fe... The cohesive solids in liquid flows are featured by the dynamic growth and breakage of agglomerates, and the difficulties in the development, design and optimization of these systems are related to this significant feature.In this paper, discrete particle method is used to simulate a solid–liquid flow system including millions of cohesive particles, the growth rate and breakage rate of agglomerates are then systematically investigated. It was found that the most probable size of the agglomerates is determined by the balance of growth and breakage of the agglomerates the cross point of the lines of growth rate and breakage rate as a function of the particle numbers in an agglomerate, marks the most stable agglomerate size. The finding here provides a feasible way to quantify the dynamic behaviors of growth and breakage of agglomerates, and therefore offers the possibility of quantifying the effects of agglomerates on the hydrodynamics of fluid flows with cohesive particles. 展开更多
关键词 粒子方法 液体流动 动态生长 破裂率 聚结 分离 流动系统 动态行为
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Cloud-Data Envelopment Analysis Method Used for Assessment of Restoration Building Block Schemes 被引量:1
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作者 Yun zhou Zheng Yan +3 位作者 Naihu Li lingfeng Yu lingfeng zhou Lixia Chen 《CSEE Journal of Power and Energy Systems》 SCIE 2015年第2期43-52,共10页
The selection of an optimized restoration building block(RBB)scheme among all available schemes is one of the most important factors impacting the power system restoration process after a complete or partial blackout.... The selection of an optimized restoration building block(RBB)scheme among all available schemes is one of the most important factors impacting the power system restoration process after a complete or partial blackout.This paper presents a data envelopment analysis(DEA)model used as an empirical method to assess the RBB schemes.An N-level evaluation scale cloud system is built based on cloud theory to transform qualitative I/O indices of DEA model into quantitative values.Through joint utilization of the CCR(Charnes,Cooper and Rhodes)model and the LJK(Li,Jahanshahloo and Khodabakhshi)model,the established Joint-DEA model makes the newly proposed Cloud-DEA method a more feasible and robust method in assessment of RBB schemes. 展开更多
关键词 Assessment model cloud theory date envelopment analysis(DEA) restoration building block(RBB)schemes
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