A new method to calculate unsteady particle kinematics and drag coefficient in a subsonic postshock flow
Abstract
In this paper, we introduce a new method (piecewise integrated dynamics equation fit, PIDEF) that uses the particle dynamics equation to determine unsteady kinematics and drag coefficient (C _{D}) for a particle in subsonic postshock flow. The uncertainty of this method is assessed based on simulated trajectories for both quasisteady and unsteady flow conditions. Traditional piecewise polynomial fitting (PPF) shows high sensitivity to measurement error and the function used to describe C _{D}, creating high levels of relative error (>>1) when applied to unsteady shockaccelerated flows. The PIDEF method provides reduced uncertainty in calculations of unsteady acceleration and drag coefficient for both quasisteady and unsteady flows. This makes PIDEF a preferable method over PPF for complex flows where the temporal response of C _{D} is unknown. Finally, we apply PIDEF to experimental measurements of particle trajectories from 8pulse particle tracking and determine the effect of incident Mach number on relaxation kinematics and drag coefficient of micronsized particles.
 Authors:

 Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
 Arizona State Univ., Tempe, AZ (United States). School for Engineering of Matter, Transport and Energy
 Publication Date:
 Research Org.:
 Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
 Sponsoring Org.:
 USDOE National Nuclear Security Administration (NNSA)
 OSTI Identifier:
 1440444
 Report Number(s):
 LAUR1731279
Journal ID: ISSN 09570233
 Grant/Contract Number:
 AC5206NA25396
 Resource Type:
 Accepted Manuscript
 Journal Name:
 Measurement Science and Technology
 Additional Journal Information:
 Journal Volume: 29; Journal Issue: 7; Journal ID: ISSN 09570233
 Publisher:
 IOP Publishing
 Country of Publication:
 United States
 Language:
 English
 Subject:
 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; particle tracking accelerometry; kinematics measurement; shockparticle interaction; unsteady drag
Citation Formats
Bordoloi, Ankur D., Ding, Liuyang, Martinez, Adam A., Prestridge, Katherine, and Adrian, Ronald J. A new method to calculate unsteady particle kinematics and drag coefficient in a subsonic postshock flow. United States: N. p., 2018.
Web. doi:10.1088/13616501/aac076.
Bordoloi, Ankur D., Ding, Liuyang, Martinez, Adam A., Prestridge, Katherine, & Adrian, Ronald J. A new method to calculate unsteady particle kinematics and drag coefficient in a subsonic postshock flow. United States. doi:10.1088/13616501/aac076.
Bordoloi, Ankur D., Ding, Liuyang, Martinez, Adam A., Prestridge, Katherine, and Adrian, Ronald J. Thu .
"A new method to calculate unsteady particle kinematics and drag coefficient in a subsonic postshock flow". United States. doi:10.1088/13616501/aac076. https://www.osti.gov/servlets/purl/1440444.
@article{osti_1440444,
title = {A new method to calculate unsteady particle kinematics and drag coefficient in a subsonic postshock flow},
author = {Bordoloi, Ankur D. and Ding, Liuyang and Martinez, Adam A. and Prestridge, Katherine and Adrian, Ronald J.},
abstractNote = {In this paper, we introduce a new method (piecewise integrated dynamics equation fit, PIDEF) that uses the particle dynamics equation to determine unsteady kinematics and drag coefficient (C D) for a particle in subsonic postshock flow. The uncertainty of this method is assessed based on simulated trajectories for both quasisteady and unsteady flow conditions. Traditional piecewise polynomial fitting (PPF) shows high sensitivity to measurement error and the function used to describe C D, creating high levels of relative error (>>1) when applied to unsteady shockaccelerated flows. The PIDEF method provides reduced uncertainty in calculations of unsteady acceleration and drag coefficient for both quasisteady and unsteady flows. This makes PIDEF a preferable method over PPF for complex flows where the temporal response of C D is unknown. Finally, we apply PIDEF to experimental measurements of particle trajectories from 8pulse particle tracking and determine the effect of incident Mach number on relaxation kinematics and drag coefficient of micronsized particles.},
doi = {10.1088/13616501/aac076},
journal = {Measurement Science and Technology},
number = 7,
volume = 29,
place = {United States},
year = {2018},
month = {4}
}
Web of Science