Numerical Study of Trailing and Leading Vortex Dynamics in a Forced Jet with Coflow

TL;DR

This study uses DNS to analyze vortex dynamics in a forced jet with coflow, revealing how parameters like Reynolds number and coflow temperature influence vortex formation, pairing, and dissipation.

Contribution

It provides new insights into vortex interactions in forced jets with coflow through detailed numerical simulations and advanced analysis techniques.

Findings

Increased momentum thickness enhances vortex energy and pairing.

Hot coflow weakens trailing vortices and accelerates dissipation.

Lower Reynolds number reduces vortex strength and lifespan.

Abstract

The interaction of trailing and leading vortex structures in low Reynolds number forced (varicose) jet with coflow is studied using Direct Numerical Simulation (DNS), where we report the dynamics of these vortices for a range of varying parameters. In a circular forced jet with Strouhal number 0.2, continuous formation of these vortices is observed which undergo pairing, tearing and disintegration. The forced jet is analyzed for varying frequency of forced perturbations, coflow temperature, turbulence intensity, momentum thickness, coflow intensity and Reynolds number at a constant forcing amplitude. The observation reveals that any reduction in momentum thickness increases the circulation as well as energy capacity of the leading and the trailing vortices, thereby enhancing the vortex pairing time. However, the hot coflow increases the strength of the leading vortex to such an extent that the generated trailing vortex is weak and dissipates even before it undergoes vortex pairing, while an incomplete disintegration of the leading vortex occurs in this case. Moreover, the strength of leading and trailing vortices is found to decrease with an increase in coflow power, thereby leading to a weaker vortex pairing. The decrease in Reynolds number also reduces the intensity of trailing vortices; whereas, at a lower Reynolds Number (Re) the trailing vortices dissipate soon after they form. The findings are achieved based on the analysis done by Proper Orthogonal Decomposition (POD), Dynamic Mode Decomposition (DMD), fast Fourier transform (FFT), Q-criterion and vortex tracking method to understand the dynamic interaction and behavior of the vortices.