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Lattice Boltzmann Simulation of Behaviors of Binary Cloud Droplets Approaching Each Other 二元云滴相互接近行为的晶格玻尔兹曼模拟
Q3 Engineering Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022043604
M. Yoshino, Kohei Sasaki, Satoshi Saito, Kosuke Suzuki
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引用次数: 1
Microfluidic Simulations of Droplet Motion on Structured Solid Surface Using Phase-field Lattice Boltzmann Method 用相场格子Boltzmann方法模拟微滴在结构固体表面上的运动
Q3 Engineering Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022043657
N. Takada, K. Mogi, T. Takaki, S. Someya, S. Baba, Shimpei Saito
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引用次数: 0
Study of Dry Ice Growth on Duplex Cylinders 双圆柱上干冰生长的研究
Q3 Engineering Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022044169
Pavlo Sokolov, M. Virk
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引用次数: 0
Orifice Wall Cavitation and Single String Cavitation in Fuel Injector 喷油器孔壁空化与单管空化
Q3 Engineering Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022045214
Akira Sou, S. Nurcholik, Y. Wada, Yoshiharu Ueki, H. Yokohata
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引用次数: 0
Effects of Initial Liquid Height and Liquid Viscosity on Total Gas Holdup in a Bubble Column 初始液体高度和液体粘度对气泡塔总气含率的影响
Q3 Engineering Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022044397
Nobuya Kobayashi, Ryo Kurimoto, Kosuke Hayashi, A. Tomiyama
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引用次数: 1
OPTIMIZATION OF TWO-PHASE FLOW MODELS AND ESTIMATION OF CROSS-FLOW IN FUEL ASSEMBLIES USING DATA ASSIMILATION 基于数据同化的两相流模型优化及燃料组件交叉流估计
Q3 Engineering Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022043255
A. Ui, Tetsuhiro Ozaki, T. Arai, M. Furuya, R. Okawa, T. Iiyama, Shota Ueda
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引用次数: 0
PREFACE: LATTICE BOLTZMANN METHOD 前言:晶格玻尔兹曼方法
Q3 Engineering Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.v34.i3.10
Takeshi Seta, Naoki Takada
of the Lattice Boltzmann Method for Numerical Simulations of Multiphase Flows. the Lattice Boltzmann applied to a variety of numerical calculations for turbulence, particulate flows, multi-component mixtures, and multiphase flows. Approximately three ago, the Lattice Boltzmann Method pro-posed as a descendant of the Lattice gas cellular automata, which consists of the propagation and collision processes of particles. In this method, the distribution functions take the place of the particles to recover the Navier-Stokes equations exactly. Mutually independent dynamics of the distribution functions along the lattices are compatible with parallel computing and easy treat-ment of complicated geometries. Although the fast computation and simple algorithm attracted much attention from researchers in the computational fluid dynamics field, the primary Lattice Boltzmann Methods were numerically unstable in the simulation of the multiphase flows that have high-density ratios and high Reynolds numbers. The most advanced Lattice Boltzmann Methods successfully calculate multiphase flows with a high-density ratio at a high Reynolds number without the inherent problems, such as numerical instability and spurious current on the liquid–vapor interface. These models have already been used in commercial software world-wide. With the opportunity to publish this special issue on the Lattice Boltzmann Method, we hope that this issue will be helpful for further development of the Lattice Boltzmann Method for multiphase flows.
点阵玻尔兹曼方法在多相流数值模拟中的应用晶格玻尔兹曼应用于湍流、颗粒流、多组分混合物和多相流的各种数值计算。大约三年前,晶格玻尔兹曼方法作为晶格气体元胞自动机的后代被提出,它由粒子的传播和碰撞过程组成。在该方法中,用分布函数代替粒子精确地恢复了Navier-Stokes方程。分布函数沿格的相互独立的动力学特性与并行计算兼容,易于处理复杂的几何形状。虽然计算速度快、算法简单受到计算流体力学领域研究者的关注,但主要的晶格玻尔兹曼方法在模拟高密度比、高雷诺数的多相流时存在数值不稳定的问题。最先进的晶格玻尔兹曼方法成功地计算了高雷诺数下高密度比多相流,而没有固有的数值不稳定性和液-气界面杂散电流等问题。这些模型已经在世界范围内的商业软件中使用。借此机会,我们出版了这期关于晶格玻尔兹曼方法的专刊,希望对多相流晶格玻尔兹曼方法的进一步发展有所帮助。
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引用次数: 0
Prediction of Heat Transfer Coefficients for Mini-Channels 微型通道传热系数的预测
Q3 Engineering Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022039089
Y. Sei, K. Enoki, S. Yamaguchi, Kiyoshi Saito
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引用次数: 1
PREFACE: APPLICATIONS OF MACHINE LEARNING TO MULTIPHASE FLOW RESEARCH 前言:机器学习在多相流研究中的应用
Q3 Engineering Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.v34.i2.10
Kosuke Hayashi, H. Murakawa
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引用次数: 0
High-Speed Visualization of Trajectory and Shape Change of Vapor Bubble in Subcooled Flow Boiling 过冷流动沸腾中气泡轨迹和形状变化的高速可视化
Q3 Engineering Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022042685
S. Paruya, J. Naik L, Jyoti Bhati
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引用次数: 2
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