Revisiting low-fidelity two-fluid models for gas-solids transport

JOURNAL OF COMPUTATIONAL PHYSICS

卷:319

Article

Adeleke, Najeem¹  Adewumi, Michael¹  Ityokumbul, Thaddeus¹ 

[1] Penn State Univ, Dept Energy & Mineral Engn, University Pk, PA 16801 USA

关键词: Approximate Riemann solver;    Two-fluid model;    Multiphase;    Compressible flow;    Pneumatic conveying;    Hyperbolic systems;   

DOI  :  10.1016/j.jcp.2016.05.020

来源: Elsevier

【 摘 要 】

Two-phase gas-solids transport models are widely utilized for process design and automation in a broad range of industrial applications. Some of these applications include proppant transport in gaseous fracking fluids, air/gas drilling hydraulics, coal-gasification reactors and food processing units. Systems automation and real time process optimization stand to benefit a great deal from availability of efficient and accurate theoretical models for operations data processing. However, modeling two-phase pneumatic transport systems accurately requires a comprehensive understanding of gas-solids flow behavior. In this study we discuss the prevailing flow conditions and present a low-fidelity two-fluid model equation for particulate transport. The model equations are formulated in a manner that ensures the physical flux term remains conservative despite the inclusion of solids normal stress through the empirical formula for modulus of elasticity. A new set of Roe-Pike averages are presented for the resulting strictly hyperbolic flux term in the system of equations, which was used to develop a Roe-type approximate Riemann solver. The resulting scheme is stable regardless of the choice of flux-limiter. The model is evaluated by the prediction of experimental results from both pneumatic riser and air-drilling hydraulics systems. We demonstrate the effect and impact of numerical formulation and choice of numerical scheme on model predictions. We illustrate the capability of a low-fidelity one-dimensional two-fluid model in predicting relevant flow parameters in two-phase particulate systems accurately even under flow regimes involving counter-current flow. (C) 2016 Elsevier Inc. All rights reserved.

【 授权许可】

Free