The application of multiphase DEM for the prediction of fat, oil and grease (FOG) deposition in sewer pipe lines

Fat oil and grease (FOG) deposition into sewer pipes can block the pipes and restrict the wastewater flow causing backflows and sanitary sewer overflows (SSOs). Understanding the wastewater flow and transport of FOG particles is a key step for predicting the particles deposition and blockage form...

Full description

Saved in:
Bibliographic Details
Main Authors: Husain, Iman A. F., Al-Khatib, Ma'an Fahmi Rashid, Jami, Mohammed Saedi, Mirghani, Mohamed Elwathig Saeed, Zainudin, Zaki, Hoda, Asif
Format: Article
Language:English
English
Published: Penerbit Akademia Baru 2017
Subjects:
Online Access:http://irep.iium.edu.my/59847/1/The%20application%20of%20multiphase%20DEM%20for%20the%20prediction%20of%20FOG-ARFMTSV39_N1_P9_16-2017.pdf
http://irep.iium.edu.my/59847/7/59847_The%20application%20of%20multiphase%20DEM_scopus.pdf
http://irep.iium.edu.my/59847/
http://www.akademiabaru.com/doc/ARFMTSV39_N1_P9_16.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.59847
record_format dspace
spelling my.iium.irep.598472024-05-02T04:30:45Z http://irep.iium.edu.my/59847/ The application of multiphase DEM for the prediction of fat, oil and grease (FOG) deposition in sewer pipe lines Husain, Iman A. F. Al-Khatib, Ma'an Fahmi Rashid Jami, Mohammed Saedi Mirghani, Mohamed Elwathig Saeed Zainudin, Zaki Hoda, Asif QA297 Numerical Analysis TP155 Chemical engineering TP670 Oils, fats, waxes Fat oil and grease (FOG) deposition into sewer pipes can block the pipes and restrict the wastewater flow causing backflows and sanitary sewer overflows (SSOs). Understanding the wastewater flow and transport of FOG particles is a key step for predicting the particles deposition and blockage formation. ANSYS FLUENT was used for simulating the flow of FOG particles and its deposition onto the sewer pipe. The multiphase Eularian-Lagrangian model with discrete Phase method (DPM) was utilized for developing the CFD model. The kinetic parameters and physical values are based on previous experimental work and literature. The CFD Eularian-DEM multiphase model has shown a good potential for simulating the wastewater flow and demonstrated the applicability of CFD to simulate and track the transport and deposition of FOG particles into the sewer pipe walls. Penerbit Akademia Baru 2017-11-30 Article PeerReviewed application/pdf en http://irep.iium.edu.my/59847/1/The%20application%20of%20multiphase%20DEM%20for%20the%20prediction%20of%20FOG-ARFMTSV39_N1_P9_16-2017.pdf application/pdf en http://irep.iium.edu.my/59847/7/59847_The%20application%20of%20multiphase%20DEM_scopus.pdf Husain, Iman A. F. and Al-Khatib, Ma'an Fahmi Rashid and Jami, Mohammed Saedi and Mirghani, Mohamed Elwathig Saeed and Zainudin, Zaki and Hoda, Asif (2017) The application of multiphase DEM for the prediction of fat, oil and grease (FOG) deposition in sewer pipe lines. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 39 (1). pp. 9-16. ISSN 2289-7879 http://www.akademiabaru.com/doc/ARFMTSV39_N1_P9_16.pdf
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic QA297 Numerical Analysis
TP155 Chemical engineering
TP670 Oils, fats, waxes
spellingShingle QA297 Numerical Analysis
TP155 Chemical engineering
TP670 Oils, fats, waxes
Husain, Iman A. F.
Al-Khatib, Ma'an Fahmi Rashid
Jami, Mohammed Saedi
Mirghani, Mohamed Elwathig Saeed
Zainudin, Zaki
Hoda, Asif
The application of multiphase DEM for the prediction of fat, oil and grease (FOG) deposition in sewer pipe lines
description Fat oil and grease (FOG) deposition into sewer pipes can block the pipes and restrict the wastewater flow causing backflows and sanitary sewer overflows (SSOs). Understanding the wastewater flow and transport of FOG particles is a key step for predicting the particles deposition and blockage formation. ANSYS FLUENT was used for simulating the flow of FOG particles and its deposition onto the sewer pipe. The multiphase Eularian-Lagrangian model with discrete Phase method (DPM) was utilized for developing the CFD model. The kinetic parameters and physical values are based on previous experimental work and literature. The CFD Eularian-DEM multiphase model has shown a good potential for simulating the wastewater flow and demonstrated the applicability of CFD to simulate and track the transport and deposition of FOG particles into the sewer pipe walls.
format Article
author Husain, Iman A. F.
Al-Khatib, Ma'an Fahmi Rashid
Jami, Mohammed Saedi
Mirghani, Mohamed Elwathig Saeed
Zainudin, Zaki
Hoda, Asif
author_facet Husain, Iman A. F.
Al-Khatib, Ma'an Fahmi Rashid
Jami, Mohammed Saedi
Mirghani, Mohamed Elwathig Saeed
Zainudin, Zaki
Hoda, Asif
author_sort Husain, Iman A. F.
title The application of multiphase DEM for the prediction of fat, oil and grease (FOG) deposition in sewer pipe lines
title_short The application of multiphase DEM for the prediction of fat, oil and grease (FOG) deposition in sewer pipe lines
title_full The application of multiphase DEM for the prediction of fat, oil and grease (FOG) deposition in sewer pipe lines
title_fullStr The application of multiphase DEM for the prediction of fat, oil and grease (FOG) deposition in sewer pipe lines
title_full_unstemmed The application of multiphase DEM for the prediction of fat, oil and grease (FOG) deposition in sewer pipe lines
title_sort application of multiphase dem for the prediction of fat, oil and grease (fog) deposition in sewer pipe lines
publisher Penerbit Akademia Baru
publishDate 2017
url http://irep.iium.edu.my/59847/1/The%20application%20of%20multiphase%20DEM%20for%20the%20prediction%20of%20FOG-ARFMTSV39_N1_P9_16-2017.pdf
http://irep.iium.edu.my/59847/7/59847_The%20application%20of%20multiphase%20DEM_scopus.pdf
http://irep.iium.edu.my/59847/
http://www.akademiabaru.com/doc/ARFMTSV39_N1_P9_16.pdf
_version_ 1800081743078752256
score 13.214268