Comparing of CFD Contours Using Image Analysing Method: A Study on Velocity Distributions

Ahmet Erdoğan; Mahmut Daşkın

Makale detayları

Comparing of CFD Contours Using Image Analysing Method: A Study on Velocity Distributions

Yazarlar:

Ahmet Erdoğan | Mahmut Daşkın

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Akışkan Akışı | Isı ve Kütle Transferinde Hesaplamalı Yöntemler (Hesaplamalı Akışkanlar Dinamiği Dahil) | Akışkan Mekaniği ve Termal Mühendislik (Diğer)

Dergi:

Black Sea Journal of Engineering and Science Vol.6 Issue 4, pp.633-638

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001299834

pISSN:

2619-8991

Anahtar kelimeler:

Özet:

 Contour plotting, a widely utilized graphical technique for visualizing CFD Computational Fluid Dynamics outcomes, is highly valuable. It provides an effective and practical approach to analysing distributions of magnitudes belonging to fluid domains such as; velocity, temperature, pressure, volume fraction, etc. Nevertheless, when analysing multiple contours, especially showing similar distribution, identifying the ideal contour can be difficult and open to speculation. In this research, the issue was addressed by employing the Image Analysis Method for the classification of velocity distribution contours. This led to determining which picture has the best distribution among a few of the contours pictures. Firstly, velocity distribution contours downstream of the diffuser located in Air Handling Unit AHU unit were obtained by using CFD. The contour pictures were then transferred to MATLAB environment. With pixel analysis in MATLAB, the pictures were able to be classified based on which parameters had an effect on the velocity distribution. Variable parameters are the length of the fan channel x and the ratio of cross-sectional areas of the AHU AAo. The results showed that x250 mm and AAo0.5 improved velocity distributions by 6 and 20, respectively.

 Contour plotting, a widely utilized graphical technique for visualizing CFD Computational Fluid Dynamics outcomes, is highly valuable. It provides an effective and practical approach to analysing distributions of magnitudes belonging to fluid domains such as; velocity, temperature, pressure, volume fraction, etc. Nevertheless, when analysing multiple contours, especially showing similar distribution, identifying the ideal contour can be difficult and open to speculation. In this research, the issue was addressed by employing the Image Analysis Method for the classification of velocity distribution contours. This led to determining which picture has the best distribution among a few of the contours pictures. Firstly, velocity distribution contours downstream of the diffuser located in Air Handling Unit AHU unit were obtained by using CFD. The contour pictures were then transferred to MATLAB environment. With pixel analysis in MATLAB, the pictures were able to be classified based on which parameters had an effect on the velocity distribution. Variable parameters are the length of the fan channel x and the ratio of cross-sectional areas of the AHU AAo. The results showed that x250 mm and AAo0.5 improved velocity distributions by 6 and 20, respectively.

 Contour plotting, a widely utilized graphical technique for visualizing CFD Computational Fluid Dynamics outcomes, is highly valuable. It provides an effective and practical approach to analysing distributions of magnitudes belonging to fluid domains such as; velocity, temperature, pressure, volume fraction, etc. Nevertheless, when analysing multiple contours, especially showing similar distribution, identifying the ideal contour can be difficult and open to speculation. In this research, the issue was addressed by employing the Image Analysis Method for the classification of velocity distribution contours. This led to determining which picture has the best distribution among a few of the contours pictures. Firstly, velocity distribution contours downstream of the diffuser located in Air Handling Unit AHU unit were obtained by using CFD. The contour pictures were then transferred to MATLAB environment. With pixel analysis in MATLAB, the pictures were able to be classified based on which parameters had an effect on the velocity distribution. Variable parameters are the length of the fan channel x and the ratio of cross-sectional areas of the AHU AAo. The results showed that x250 mm and AAo0.5 improved velocity distributions by 6 and 20, respectively.

 Contour plotting, a widely utilized graphical technique for visualizing CFD Computational Fluid Dynamics outcomes, is highly valuable. It provides an effective and practical approach to analysing distributions of magnitudes belonging to fluid domains such as; velocity, temperature, pressure, volume fraction, etc. Nevertheless, when analysing multiple contours, especially showing similar distribution, identifying the ideal contour can be difficult and open to speculation. In this research, the issue was addressed by employing the Image Analysis Method for the classification of velocity distribution contours. This led to determining which picture has the best distribution among a few of the contours pictures. Firstly, velocity distribution contours downstream of the diffuser located in Air Handling Unit AHU unit were obtained by using CFD. The contour pictures were then transferred to MATLAB environment. With pixel analysis in MATLAB, the pictures were able to be classified based on which parameters had an effect on the velocity distribution. Variable parameters are the length of the fan channel x and the ratio of cross-sectional areas of the AHU AAo. The results showed that x250 mm and AAo0.5 improved velocity distributions by 6 and 20, respectively.

Makale detayları

Comparing of CFD Contours Using Image Analysing Method: A Study on Velocity Distributions

Yazarlar:

Ahmet Erdoğan | Mahmut Daşkın

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Akışkan Akışı | Isı ve Kütle Transferinde Hesaplamalı Yöntemler (Hesaplamalı Akışkanlar Dinamiği Dahil) | Akışkan Mekaniği ve Termal Mühendislik (Diğer)

Dergi:

Black Sea Journal of Engineering and Science Vol.6 Issue 4, pp.633-638

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001299834

pISSN:

2619-8991

Computational fluid dynamics

Image analysis method

Velocity distribution

Air handling unitComputational fluid dynamics

Image analysis method

Velocity distribution

Air handling unit

Sayı

Makale detayları

Yazarlar: Ahmet Erdoğan | Mahmut Daşkın

Yayıncı: Karyay Karadeniz Yayımcılık

Ana Başlıklar: Akışkan Akışı | Isı ve Kütle Transferinde Hesaplamalı Yöntemler (Hesaplamalı Akışkanlar Dinamiği Dahil) | Akışkan Mekaniği ve Termal Mühendislik (Diğer)

Dergi: Black Sea Journal of Engineering and Science Vol.6 Issue 4, pp.633-638

Belge Tipi: Makale

Yayın Tarihi: 10/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001299834

pISSN: 2619-8991

Sayı

Yazarlar:

Ahmet Erdoğan | Mahmut Daşkın

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Akışkan Akışı | Isı ve Kütle Transferinde Hesaplamalı Yöntemler (Hesaplamalı Akışkanlar Dinamiği Dahil) | Akışkan Mekaniği ve Termal Mühendislik (Diğer)

Dergi:

Black Sea Journal of Engineering and Science Vol.6 Issue 4, pp.633-638

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001299834

pISSN:

2619-8991