A drag coefficient model for Lagrangian particle dynamics relevant to high-speed flows

Raghava S.C. Davuluri; Sean C.C. Bailey; Kaveh A. Tagavi; Alexandre Martin

doi:10.1016/j.ijheatfluidflow.2020.108706

A drag coefficient model for Lagrangian particle dynamics relevant to high-speed flows

Raghava S.C. Davuluri, Sean C.C. Bailey, Kaveh A. Tagavi, Alexandre Martin

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

A blended drag coefficient model is constructed using a series of empirical relations based on Reynolds number, Mach number, and Knudsen number. When validated against experiments, the drag coefficient model produces matching values with a standard deviation error of 2.84% and a maximum error of 11.87%. The model is used in a Lagrangian code which is coupled to a hypersonic aerothermodynamic CFD code, and the particle velocity and trajectory are validated against experimental results. The comparative results agree well and show that the new blended drag coefficient model is capable of predicting the particle motion accurately over a range of Reynolds number, Mach number, and Knudsen number.

Original language	English
Article number	108706
Journal	International Journal of Heat and Fluid Flow
Volume	87
DOIs	https://doi.org/10.1016/j.ijheatfluidflow.2020.108706
State	Published - Feb 2021

Bibliographical note

Publisher Copyright:
© 2020 Elsevier Inc.

Keywords

Aerothermodynamics
Drag coefficient
Hypersonics
Lagrangian Particle Trajectory
Particle-laden flows

ASJC Scopus subject areas

Condensed Matter Physics
Mechanical Engineering
Fluid Flow and Transfer Processes

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10.1016/j.ijheatfluidflow.2020.108706

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title = "A drag coefficient model for Lagrangian particle dynamics relevant to high-speed flows",

abstract = "A blended drag coefficient model is constructed using a series of empirical relations based on Reynolds number, Mach number, and Knudsen number. When validated against experiments, the drag coefficient model produces matching values with a standard deviation error of 2.84% and a maximum error of 11.87%. The model is used in a Lagrangian code which is coupled to a hypersonic aerothermodynamic CFD code, and the particle velocity and trajectory are validated against experimental results. The comparative results agree well and show that the new blended drag coefficient model is capable of predicting the particle motion accurately over a range of Reynolds number, Mach number, and Knudsen number.",

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AU - Bailey, Sean C.C.

AU - Tagavi, Kaveh A.

AU - Martin, Alexandre

PY - 2021/2

Y1 - 2021/2

N2 - A blended drag coefficient model is constructed using a series of empirical relations based on Reynolds number, Mach number, and Knudsen number. When validated against experiments, the drag coefficient model produces matching values with a standard deviation error of 2.84% and a maximum error of 11.87%. The model is used in a Lagrangian code which is coupled to a hypersonic aerothermodynamic CFD code, and the particle velocity and trajectory are validated against experimental results. The comparative results agree well and show that the new blended drag coefficient model is capable of predicting the particle motion accurately over a range of Reynolds number, Mach number, and Knudsen number.

AB - A blended drag coefficient model is constructed using a series of empirical relations based on Reynolds number, Mach number, and Knudsen number. When validated against experiments, the drag coefficient model produces matching values with a standard deviation error of 2.84% and a maximum error of 11.87%. The model is used in a Lagrangian code which is coupled to a hypersonic aerothermodynamic CFD code, and the particle velocity and trajectory are validated against experimental results. The comparative results agree well and show that the new blended drag coefficient model is capable of predicting the particle motion accurately over a range of Reynolds number, Mach number, and Knudsen number.

KW - Aerothermodynamics

KW - Drag coefficient

KW - Hypersonics

KW - Lagrangian Particle Trajectory

KW - Particle-laden flows

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JO - International Journal of Heat and Fluid Flow

JF - International Journal of Heat and Fluid Flow

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A drag coefficient model for Lagrangian particle dynamics relevant to high-speed flows

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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