4.4 Article

Dynamics of obstructed droplet breakup in microfluidic T-junction based on diffuse interface method

期刊

HEAT AND MASS TRANSFER
卷 56, 期 5, 页码 1601-1611

出版社

SPRINGER
DOI: 10.1007/s00231-019-02780-1

关键词

-

资金

  1. National Natural Science Foundation of China [11675057]

向作者/读者索取更多资源

Gas-liquid two phases flow is common in microfluidics but still needs more study. Precise but efficient controlling the droplets volumes is important for subsequent reaction or processing. In this paper, the diffuse interface method and boundary condition equations are introduced at the beginning. Then, to validate the present phase-field model, three kinds of simulation results are shown and fitted well with the experiments. It indicates that this method can be used to simulate the droplet deformation process in the T-junction. Afterwards, the details about the three kinds of droplet behaviors are presented and due to the instability of droplet breakup with tunnels, we mainly focus on the droplet with t obstruction for the steady breakup process. By analyzing the sensitivity about capillary number and static contact angle, we find that they both have great influence on the breakup process. The fitted curve under a 45 degree contact angle agree well with the experiment of Fu et al. Chem Eng Sci 66(18) 4184-4195, [9] which verifies the accuracy of simulation again. Next, we fit the relation between scaled critical droplet length and the Ca number and the static contact angle. At last, the critical neck width observed in the experiment is discussed based on the minimum surface energy principle as supplementary to improve this two-dimensional formula.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Nuclear Science & Technology

Thermal hydraulic analysis of accident tolerant fuels for Reactivity-Initiated-Accident in PWR with different coolant channel geometries

Sihong He, Jiejin Cai, Zhijie Chen, Rong Liu

NUCLEAR ENGINEERING AND DESIGN (2019)

Article Nuclear Science & Technology

Multiphysics modeling of thorium-based fuel performance with a two-layer SiC cladding in a light water reactor

Rong Liu, Jiejin Cai, Wenzhong Zhou

ANNALS OF NUCLEAR ENERGY (2020)

Article Thermodynamics

Researches on hydrodynamics of liquid film flow on inclined plate using diffuse-interface method

Jiejin Cai, Xiongjie Zhuo

HEAT AND MASS TRANSFER (2020)

Article Nuclear Science & Technology

Reconstruction of the neutron radiation field on nuclear facilities near the shield using Bayesian inference

Zhuang Wang, Jiejin Cai

PROGRESS IN NUCLEAR ENERGY (2020)

Article Nuclear Science & Technology

Accident tolerant fuel thermal hydraulic behaviors evaluation during loss of coolant accident in CPR1000

Honghao Yu, Zhijie Chen, Jiejin Cai

ANNALS OF NUCLEAR ENERGY (2020)

Article Nuclear Science & Technology

Burnup analysis of the pebble-bed fluoride-salt-cooled high-temperature reactor based on the Chord Length Sampling method

Zhifeng Li, Jiejin Cai, Changyou Zhao, Xuezhong Li

ANNALS OF NUCLEAR ENERGY (2020)

Article Nuclear Science & Technology

State estimation of external neutron source driven sub-critical core using adaptive Kalman filter

Wenhuai Li, Ruoxiang Qiu, Jiejin Cai, Peng Ding, Chengjie Duan, Dawei Cui, Xiuan Shi, Jiming Lin, Shu Chen

ANNALS OF NUCLEAR ENERGY (2020)

Article Nuclear Science & Technology

The potentiality of thermal safety and economy of the U3Si2-SiC system in PWR

Sihong He, Jiejin Cai

ANNALS OF NUCLEAR ENERGY (2020)

Article Nuclear Science & Technology

Experimental characterization of the bubble neck formation during its growth process on a superhydrophobic surface

Jiejin Cai, Ziqi Gong, Zhihong Tang, Xuezhong Li, Ye Wang, Huaqiang Yin, Xingtuan Yang

NUCLEAR ENGINEERING AND DESIGN (2020)

Article Nuclear Science & Technology

Numerical study of ADS windowless spallation target based on diffuse interface method

Xianbin Lin, Jiejin Cai, Honghao Yu

Summary: The study of spallation targets is an important part of ADS system research, with liquid windowless spallation targets being the current research hotspot. Through numerical calculations and experimental comparisons, it was found that the k-epsilon model is most suitable for predicting the working conditions of windowless spallation targets. Research shows that the outlet pressure and inlet velocity have a significant impact on the length of the free interface and the recirculation zone of the spallation target.

NUCLEAR ENGINEERING AND DESIGN (2021)

Article Nuclear Science & Technology

An improved model based on real gas state equation and fog formation for condensation heat and mass transfer

Bing Tan, Jiejin Cai

Summary: An improved model for predicting the condensation heat transfer coefficient was proposed, with a wide scope of parameters applicability. Experimental validation showed that over 97% of the results predicted by the improved model were within +/- 30% bands, demonstrating its accuracy across different conditions.

NUCLEAR ENGINEERING AND DESIGN (2021)

Article Thermodynamics

Numerical simulation of meniscus evaporation in microchannel based on diffuse interface method

Jian Chang, Jiejin Cai, Bing Tan

Summary: This study proposes a model to simulate the evaporation process in microchannel capillaries, taking into account several influencing factors including the Marangoni effect, evaporative phase transition, and contact angle change. By comparing the simulation results with experimental data, the accuracy of the model is verified. The findings indicate the presence of a strong heat flux region near the contact line, resulting in Marangoni flow near the meniscus, and the tube diameter, contact angle, and superheat have significant effects on the evaporation rate.

HEAT AND MASS TRANSFER (2022)

Article Nuclear Science & Technology

The search for orphan radioactive source based on GPR-PRM method

Qianxi Xiao, Jiejin Cai

Summary: This paper proposes a method for orphan radioactive source localization, which achieves safe recovery of radioactive sources through constructing the radiation field and path planning for a mobile robot. Simulation experiments verify the feasibility of the proposed method and demonstrate high-precision localization at low equipment costs.

NUCLEAR ENGINEERING AND DESIGN (2023)

Article Nuclear Science & Technology

Constructing a probability digital twin for reactor core with Bayesian network and reduced-order model

Wenhuai Li, Jiejin Cai, Haoliang Lu, Junling Wang, Li Cai, Zhihong Tang, Jinggang Li, Chao Wang

Summary: In constructing a digital twin for a nuclear reactor core, considering the influence of randomness is crucial. Data assimilation (DA) combines time distribution observations with dynamic models to approximate the real state of a physical system. Machine learning (ML) and DA have similarities under the Bayesian framework, and using probabilistic ML, such as Bayesian neural networks (BNN), can improve or replace current DA techniques.

ANNALS OF NUCLEAR ENERGY (2023)

暂无数据