EXPERIMENTAL DATA SETS FOR VALIDATION OF PREDICTION METHODS IN MULTIPHASE FLOW: INTRODUCTION AND THE NATURE OF THE EVOLUTION OF MODELS

Geoffrey F. Hewitt

doi:10.1615/MultScienTechn.v3.i1-4.50

多相流动科学与技术

创始编辑s: Jean-Marc Delhaye (open in a new tab) Geoffrey F. Hewitt (open in a new tab) Novak Zuber (open in a new tab)

副主编s: Gioia Falcone (open in a new tab) Arun Kumar Nayak (open in a new tab) Masahiro Kawaji (open in a new tab) Shu Takagi (open in a new tab)

每年出版 4 期

ISSN 打印: 0276-1459

ISSN 在线: 1943-6181

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EXPERIMENTAL DATA SETS FOR VALIDATION OF PREDICTION METHODS IN MULTIPHASE FLOW: INTRODUCTION AND THE NATURE OF THE EVOLUTION OF MODELS

卷 3, 册 1-4, 1987, pp. 131-144

DOI: 10.1615/MultScienTechn.v3.i1-4.50

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Geoffrey F. Hewitt
Department of Chemical Engineering & Chemical Technology, Imperial College of Science, Technology & Medicine, Prince Consort Road, London SW7 2B Y, England, UK

摘要

This paper describes the background to the selection of the experimental Data Sets given in this volume of Multiphase Science and Technology; the work on the selection and approval of the Data Sets was carried out under the aegis of the International Workshops on Two-Phase Flow Fundamentals (supported by the US Department of Energy). The evolutionary nature of modelling methods for multiphase flows is illustrated by considering models for droplet deposition in annular flow.

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EXPERIMENTAL DATA SETS FOR VALIDATION OF PREDICTION METHODS IN MULTIPHASE FLOW: INTRODUCTION AND THE NATURE OF THE EVOLUTION OF MODELS

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