eprintid: 18865
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/88/65
datestamp: 2024-06-04 14:11:18
lastmod: 2024-06-04 14:11:18
status_changed: 2024-06-04 14:04:18
type: article
metadata_visibility: show
creators_name: Munir, S.
creators_name: Aziz, A.R.A.
creators_name: Heikal, M.
creators_name: Siddiqui, M.I.
title: Combination of linear stochastic estimation and proper orthogonal decomposition: application in two-phase slug flow
ispublished: pub
keywords: Flow visualization; Fluorescence; Laser optics; Laser produced plasmas; Principal component analysis; Stochastic systems; Two phase flow; Velocimeters; Velocity measurement, Image velocimetry; Laser induced fluorescence; Linear stochastic estimation; Orthogonal decomposition; Particle image velocimetry; Particle images; Proper Orthogonal; Proper orthogonal decomposition; Reference lines; Slug-flow, Flow patterns
note: cited By 4
abstract: The study of turbulence characteristics in two-phase flows always remained challenging due to its chaotic nature. The hidden coherent structures are dynamically important and play significant role to define their macro-characteristics. Here, we present Linear Stochastic Estimation (LSE)-based approach combined with Proper Orthogonal Decomposition (POD) to perform analysis of two-dimensional slug flow. Analysis is performed in the film region of slug flow which is analogous to stratified flow. The instantaneous velocity of both phases is obtained experimentally by Particle Image Velocimetry (PIV) and Laser-Induced Fluorescence (LIF). The goal is to identify the dominant flow patterns from both phases and reconstruct the flow field. Reference signals from POD eigenmodes and fluctuating velocity are used for LSE estimation of velocity field. The impact of nature of reference signal, location of reference lines and number of reference points on the estimation is also evaluated based on the correlation values. It is observed that two reference lines based LSE estimated velocity identified all dominant flow patterns from both phases of slug flow. Examination of spatial contents of the estimated velocity shows good qualitative agreement with the POD modes at all scales. It is also noted that the location of the reference lines identified the flow motions not only near the specified reference lines but also in the overall field. This combination of LSE and POD is therefore an improvement over the existing LSE approach and can be used in variety of flows for reconstruction even at small scales and could possibly lead to notable advancements in accurate prognosis of multiphase flow regimes. © 2023, The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering.
date: 2023
publisher: Springer Science and Business Media Deutschland GmbH
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146905985&doi=10.1007%2fs40430-023-04013-3&partnerID=40&md5=c7db675449b2ae0f76ef254f6efe5a9c
id_number: 10.1007/s40430-023-04013-3
full_text_status: none
publication: Journal of the Brazilian Society of Mechanical Sciences and Engineering
volume: 45
number: 2
refereed: TRUE
issn: 16785878
citation:   Munir, S. and Aziz, A.R.A. and Heikal, M. and Siddiqui, M.I.  (2023) Combination of linear stochastic estimation and proper orthogonal decomposition: application in two-phase slug flow.  Journal of the Brazilian Society of Mechanical Sciences and Engineering, 45 (2).   ISSN 16785878