Multiphase Science and Technology最新文献_第4页

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

Multiphase Science and Technology Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022043604

M. Yoshino, Kohei Sasaki, Satoshi Saito, Kosuke Suzuki

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

Multiphase Science and Technology Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022043657

N. Takada, K. Mogi, T. Takaki, S. Someya, S. Baba, Shimpei Saito

引用次数: 0

Study of Dry Ice Growth on Duplex Cylinders 双圆柱上干冰生长的研究

Multiphase Science and Technology Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022044169

Pavlo Sokolov, M. Virk

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

Multiphase Science and Technology Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022045214

Akira Sou, S. Nurcholik, Y. Wada, Yoshiharu Ueki, H. Yokohata

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

Multiphase Science and Technology Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022044397

Nobuya Kobayashi, Ryo Kurimoto, Kosuke Hayashi, A. Tomiyama

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

Multiphase Science and Technology Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022043255

A. Ui, Tetsuhiro Ozaki, T. Arai, M. Furuya, R. Okawa, T. Iiyama, Shota Ueda

引用次数: 0

PREFACE: LATTICE BOLTZMANN METHOD 前言:晶格玻尔兹曼方法

Multiphase Science and Technology Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.v34.i3.10

Takeshi Seta, Naoki Takada

{"title":"PREFACE: LATTICE BOLTZMANN METHOD","authors":"Takeshi Seta, Naoki Takada","doi":"10.1615/multscientechn.v34.i3.10","DOIUrl":"https://doi.org/10.1615/multscientechn.v34.i3.10","url":null,"abstract":"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.","PeriodicalId":34942,"journal":{"name":"Multiphase Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67347151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of Heat Transfer Coefficients for Mini-Channels 微型通道传热系数的预测

Multiphase Science and Technology Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022039089

Y. Sei, K. Enoki, S. Yamaguchi, Kiyoshi Saito

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

Multiphase Science and Technology Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.v34.i2.10

Kosuke Hayashi, H. Murakawa

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

Multiphase Science and Technology Pub Date : 2022-01-01 DOI: 10.1615/multscientechn.2022042685

S. Paruya, J. Naik L, Jyoti Bhati

引用次数: 2