Inverse identification of viscosity coefficient for Newtonian and non-Newtonian slurries during the turbulent pipeline transportation

Ji Zhang, Han Yuan, Liang Cheng, Ning Mei, Zhe Yan

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1 Citation (Scopus)

Abstract

Slurry viscosity is an important parameter that can be used for slurry characterization and pipeline design. This study proposed an inversion method to identify the viscosity coefficient of slurries in turbulent pipeline flow. An inverse heat convection problem with unknown viscosity for Newtonian and non-Newtonian slurries was solved in a fully developed turbulent pipe flow, and a modified mixing length theory in the turbulent model was applied to improve the estimation accuracy. Through the inversion calculation, the viscosity coefficient was obtained by temperature profile at several measurement positions. An experimental setup was established, and several experiments were conducted to verify the viscosity estimations for slurry flow in this study. The results showed that the method was reliable for identifying the slurry viscosities in the turbulent state and the modified mixing length model can effectively improve the inversion accuracy. This method provided an effective way to detect the rheological properties for determining the operation mode of turbulent slurry pipelines.

Original languageEnglish
Article numbere2368
JournalAsia-Pacific Journal of Chemical Engineering
Volume14
Issue number6
Early online date9 Oct 2019
DOIs
Publication statusPublished - 1 Nov 2019

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