On the Wasp Calculation Method

Satō, Hiroshi; Otsuka, Kazuo; Cui, Yushun

doi:10.2473/shigentosozai1953.104.1207_567

Cited by 2 publications

(1 citation statement)

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“… V normalt = v normalN α ( 1 + 48 β μ l d A ρ l v N ) where μ l is the kinetic viscosity of continuous phase. v normalN = 4 g d A false( ρ hy − ρ normall false) 3 ρ l α and β are called the shape coefficients of Swanson. The Japanese scholar Sato et al conducted a large number of experiments on the effect of the shape of solid particles on the shape coefficients of Swanson α and β, and compiled the relationship between the shape coefficients of Swanson α and β, and the area index κ i , and obtained the corresponding formula as follows .25ex2ex α = 0.2701 e 0.9233 κ i β = 15.12 e − 1.043 κ i …”

Section: Numerical Model Of Critical Velocity Of Hydrate Bed In Pipel...mentioning

confidence: 99%

Study on a Numerical Model of Hydrate Bed Critical Velocity in Solid–Liquid Two-Phase Flow Pipelines

Song

et al. 2023

Energy Fuels

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A hydrate bed critical velocity model is developed, including a hydrate bed limit deposition velocity model and a hydrate bed suspension velocity model. The innovation of this paper is to consider the hydrate bed pressure and liquid bridge force on hydrate particles when building the limit deposition velocity model and to modify Dai’s model by using hydrate experimental and simulation data when building the suspension velocity model. The hydrate bed critical velocity model is negatively correlated with the particle size and positively correlated with the pipe diameter, particle density, and particle volume fraction. The accuracy of the model is demonstrated by validation. The hydrate bed critical velocity model can be used to calculate the hydrate fixed-bed and moving-bed height under different conditions, based on which the flow pattern map of hydrate particles and the hydrate blockage risk classification method are established, which is a certain guidance to ensure the safety of hydrate flow in the pipeline.

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Section: Numerical Model Of Critical Velocity Of Hydrate Bed In Pipel...mentioning

confidence: 99%

Study on a Numerical Model of Hydrate Bed Critical Velocity in Solid–Liquid Two-Phase Flow Pipelines

Song

et al. 2023

Energy Fuels

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A Monitoring System for the Slurry Flow in Horizontal Pipes.

Cui¹,

Satō²,

Takemura³

et al. 2001

Shigen-to-Sozai

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For the safety of the transportation system of a slurry pipeline, it is very important to catch the behavior of the flow in the pipe. Hydraulic pressure, mean velocity, and delivered concentration are, in general, measured for monitoring the settling slurry flow. However the flow patterns in the pipe at any moment can not directly be shown with these data. A video camera system for the monitoring is probably not useful for the opaque pipelines, or even the pipelines with transparency parts, because the flow becomes muddy under practical transport conditions.In this study, we provided a method for predicting the solid particle motion and the distributions of in-situ concentrations of the solid based on collected measurements. The method was capable of displaying the flow modes on a monitoring screen by using the random model associated with the concentration distribution of solid particles. Comparison of predicted and experimental images indicated that the proposed system was effective for monitoring solid-water mixture flows.

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On the Wasp Calculation Method

Cited by 2 publications

References 0 publications

Study on a Numerical Model of Hydrate Bed Critical Velocity in Solid–Liquid Two-Phase Flow Pipelines

Study on a Numerical Model of Hydrate Bed Critical Velocity in Solid–Liquid Two-Phase Flow Pipelines

A Monitoring System for the Slurry Flow in Horizontal Pipes.

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