Determination of Void Fraction by Image Processing

Yıl 2017, Cilt: 22 Sayı: 3, 97 - 114, 27.12.2017

Burak Dibek Hakan Demir

https://doi.org/10.17482/uumfd.371869

Cited By: 2

Öz

Void fraction is one of the key parameters for
defining the characteristics of a two phase flow. However, determination of
void fraction is not easy due to changing conditions of flow and the type of
fluid. In literature, there are plenty of works on determination of void
fraction in two-phase flow in a pipe or channel which uses psychical parameters
and properties of the system, flow and fluid. Since there are plenty number of
correlations for various flow types, an experimental method has been suggested
to determine the void fraction according to flow type without using any
physical parameter of the flow and fluid. Image visualization methods have been
applied to two-phase flow of refrigerant R600a in a circular tube. The images
from high speed photography have been processed using a software developed with
MATLAB Image Processing Toolbox.  The
results were also compared with the well-known correlations.

Anahtar Kelimeler

Image processing, Two-phase flow, Void fraction

BOŞLUK ORANININ GÖRÜNTÜ İŞLEME YARDIMIYLA BULUNMASI

Öz

Boşluk oranı iki fazlı akışta akışın karakterini
tanımlamak için kullanılan önemli parametrelerden biridir. Bununla beraber
değişken akış koşulları ve akış türü nedeniyle boşluk oranını belirlemek çok
kolay değildir. Literatürde bir boru veya kanal içinde boşluk oranını tanımlama
üzere sistem, akış ve akışkan ile ilgili parametreleri kullanan pek çok model
bulunmaktadır. Farklı akış tipleri için pek çok korelasyon bulunduğu için bu
çalışmada akışla ilgili herhangi bir parametre kullanmayan bir deneysel yöntem
önerilmiştir.  Görüntü işleme yöntemi
R600a akışkanının dairesel bir boru içerisinde iki fazlı akışına uygulanmıştır.
Yüksek hızlı kamera ile elde edilen görüntüler MATLAB görüntü işleme aracını
kullanarak geliştirilen bir yazılımda işlenmiştir. Ayrıca sonuçlar literatürde sık
kullanılan korelasyonlarla karşılaştırılmıştır.

Anahtar Kelimeler

Görüntü işleme, İki fazlı akış, Boşluk oranı

Kaynakça

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