J
Jun Zhang
Researcher at University of Tulsa
Publications - 26
Citations - 293
Jun Zhang is an academic researcher from University of Tulsa. The author has contributed to research in topics: Erosion & Erosion prediction. The author has an hindex of 6, co-authored 22 publications receiving 154 citations. Previous affiliations of Jun Zhang include China University of Petroleum.
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CFD simulation of multiphase flows and erosion predictions under annular flow and low liquid loading conditions
TL;DR: In this article, the authors used the Volume of Fluid (VOF) method for air-water flow simulation with high gas velocities and low liquid rates, and compared with results obtained with Eulerian-Eulerian with Multi-Fluid VOF approach with the same flow rates.
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Application and experimental validation of a CFD based erosion prediction procedure for jet impingement geometry
TL;DR: In this article, Zhang et al. employed 3-D modeling with different near wall treatments to simulate the wall bounded turbulent jet flow and applied Discrete Phase Model (DPM) to track particles and obtain particle impact characteristics.
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Modeling sand fines erosion in elbows mounted in series
TL;DR: In this paper, a comprehensive CFD-based erosion prediction procedure is applied to predict erosion in two elbows mounted in series, and a systematic grid refinement study is also conducted for the geometry with application to sand fines (28 μ m ) erosion prediction.
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A comprehensive CFD-based erosion prediction for sharp bend geometry with examination of grid effect
TL;DR: In this paper, a comprehensive CFD-based approach was applied to predict erosion in a 90° sharp bend geometry, and the results showed that appropriate meshing, selection of turbulence model and near wall modeling approach are crucial for obtaining good erosion prediction results.
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Effect of particle size on erosion measurements and predictions in annular flow for an elbow
TL;DR: In this article, the effect of small particles on erosion in annular and liquid-dominated multiphase flows is investigated. And the effects of particle size on erosion ratio and its distribution in pipe bends are discussed.