Computational Investigation of the Flow Structure and Drag Characteristics of Spheres in Accelerated Motion

The unsteady motion of spheres is important for applications such as falling drops and fuel particle acceleration in nozzles. This study investigates the accelerated spheres’ drag for the acceleration number -0.2 to 0.2 and the Reynolds number 20-170. Unsteady laminar Navier-Stokes equations have been solved using the finite-volume approach, dynamic structured grid, and a second-order semi-implicit pressure-based method. The steady drag coefficient range is 2.7- 0.9 for the specified Reynolds range. For the accelerating sphere, Cd values are larger than the steady-state value (For Re = 20, Cd is 6.1 for a = 125 m/s2 and 3.7 for 32 m/s2). By increasing Re, Cd decreases gradually and then tends to the steady-state value. For deceleration, Cd is smaller than the steady-state value (for Re = 20, Cd is -2.5 for a = -125 m/s2 and 1.3 for -32 m/s2). By increasing Re, Cd increases firstly, then decreases, and finally tends to the steady-state value. The larger the magnitude of acceleration, the farther away the unsteady drag curve is from the steady-state curve. When the sphere is accelerated from rest, the flowfield and the drag tend to the state of steady motion with small Reynolds. For deceleration, they tend to the state of steady motion with a large Reynolds. A new equation is proposed providing a simple accurate method for estimating the spheres’ unsteady drag coefficients.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
DOI
https://doi.org/10.22060/ajme.2024.23148.6105
Primary Topic
Particle Dynamics in Fluid Flows
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computational Investigation of the Flow Structure and Drag Characteristics of Spheres in Accelerated Motion

SHILAP Revista de lepidopterología
Particle Dynamics in Fluid Flows
article

Computational Investigation of the Flow Structure and Drag Characteristics of Spheres in Accelerated Motion

article en

Abstract

The unsteady motion of spheres is important for applications such as falling drops and fuel particle acceleration in nozzles. This study investigates the accelerated spheres’ drag for the acceleration number -0.2 to 0.2 and the Reynolds number 20-170. Unsteady laminar Navier-Stokes equations have been solved using the finite-volume approach, dynamic structured grid, and a second-order semi-implicit pressure-based method. The steady drag coefficient range is 2.7- 0.9 for the specified Reynolds range. For the accelerating sphere, Cd values are larger than the steady-state value (For Re = 20, Cd is 6.1 for a = 125 m/s2 and 3.7 for 32 m/s2). By increasing Re, Cd decreases gradually and then tends to the steady-state value. For deceleration, Cd is smaller than the steady-state value (for Re = 20, Cd is -2.5 for a = -125 m/s2 and 1.3 for -32 m/s2). By increasing Re, Cd increases firstly, then decreases, and finally tends to the steady-state value. The larger the magnitude of acceleration, the farther away the unsteady drag curve is from the steady-state curve. When the sphere is accelerated from rest, the flowfield and the drag tend to the state of steady motion with small Reynolds. For deceleration, they tend to the state of steady motion with a large Reynolds. A new equation is proposed providing a simple accurate method for estimating the spheres’ unsteady drag coefficients.

SHILAP Revista de lepidopterología
Affordable and clean energy
Openalex Percentile: Top 50%
Particle Dynamics in Fluid Flows
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.