Modelling approaches for pipe inclination effect on deposition limit velocity of settling slurry flow

0482059 - ÚH 2019 RIV FR eng C - Conference Paper (international conference)
Matoušek, Václav - Kesely, Mikoláš - Vlasák, Pavel
Modelling approaches for pipe inclination effect on deposition limit velocity of settling slurry flow.
EPJ Web of Conferences. Vol. 180. Les Ulis: EDP Sciences, 2018 - (Dančová, P.), č. článku 02062. E-ISSN 2100-014X.
[Experimental Fluid Mechanics 2017. Mikulov (CZ), 21.11.2017-24.11.2017]
R&D Projects: GA ČR GA17-14271S
Institutional support: RVO:67985874
Keywords : solid-liquid flow * slurry pipe * hydraulic transport of solids * concentration distribution
OECD category: Fluids and plasma physics (including surface physics)
https://www.epj-conferences.org/articles/epjconf/abs/2018/15/epjconf_efm2018_02062/epjconf_efm2018_02062.html

The deposition velocity is an important operation parameter in hydraulic transport of solid particles in pipelines. It represents flow velocity at which transported particles start to settle out at the bottom of the pipe and are no longer transported. A number of predictive models has been developed to determine this threshold velocity for slurry flows of different solids fractions (fractions of different grain size and density). Most of the models consider flow in a horizontal pipe only, modelling approaches for inclined flows are extremely scarce due partially to a lack of experimental information about the effect of pipe inclination on the slurry flow pattern and behaviour. We survey different approaches to modelling of particle deposition in flowing slurry and discuss mechanisms on which deposition-limit models are based. Furthermore, we analyse possibilities to incorporate the effect of flow inclination into the predictive models and select the most appropriate ones based on their ability to modify the modelled deposition mechanisms to conditions associated with the flow inclination. A usefulness of the selected modelling approaches and their modifications are demonstrated by comparing model predictions with experimental results for inclined slurry flows from our own laboratory and from the literature.
Permanent Link: http://hdl.handle.net/11104/0284616