Prediction of Particles-Air Movement in Silo during Filling Operation
Awareness of dust explosion hazards during silo filling operation is important for safety measures. Thus, information on particles-air flow field is required to assess the likelihood of the hazard. Flow field visualization via experimental investigation associated with difficulties and risks. Hence,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Scientific Research
2014
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| Online Access: | http://umpir.ump.edu.my/id/eprint/7546/ http://umpir.ump.edu.my/id/eprint/7546/1/Prediction_of_Particles-Air_Movement_in_Silo_during_Filling_Operation.pdf |
| _version_ | 1848818024795078656 |
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| author | Siti Ilyani, Rani Jolius, Gimbun Badhrulhisham, Abdul Aziz |
| author_facet | Siti Ilyani, Rani Jolius, Gimbun Badhrulhisham, Abdul Aziz |
| author_sort | Siti Ilyani, Rani |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Awareness of dust explosion hazards during silo filling operation is important for safety measures. Thus, information on particles-air flow field is required to assess the likelihood of the hazard. Flow field visualization via experimental investigation associated with difficulties and risks. Hence, in the present study, a modeling formulation using commercial computational fluid dynamics (CFD) code, FLUENT software was employed to predict an insight of flow field distribution, in terms of mean and root mean square (RMS) velocities vectors in cylindrical silo during axial filling. According to the simulation results, predicted flow field has a great influence to the silo height and distance to the silo wall due to gravitational force and movement of fugitive dust and re-circulation of air. The results showed that the predicted data were in very good agreement with experimental data obtained from the literature. The maximum error was around 10%. The study has gone some way towards enhancing our understanding of the particles-air behavior inside industrial equipments during filling operation. |
| first_indexed | 2025-11-15T01:31:05Z |
| format | Article |
| id | ump-7546 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:31:05Z |
| publishDate | 2014 |
| publisher | Scientific Research |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-75462018-02-21T03:14:36Z http://umpir.ump.edu.my/id/eprint/7546/ Prediction of Particles-Air Movement in Silo during Filling Operation Siti Ilyani, Rani Jolius, Gimbun Badhrulhisham, Abdul Aziz TP Chemical technology Awareness of dust explosion hazards during silo filling operation is important for safety measures. Thus, information on particles-air flow field is required to assess the likelihood of the hazard. Flow field visualization via experimental investigation associated with difficulties and risks. Hence, in the present study, a modeling formulation using commercial computational fluid dynamics (CFD) code, FLUENT software was employed to predict an insight of flow field distribution, in terms of mean and root mean square (RMS) velocities vectors in cylindrical silo during axial filling. According to the simulation results, predicted flow field has a great influence to the silo height and distance to the silo wall due to gravitational force and movement of fugitive dust and re-circulation of air. The results showed that the predicted data were in very good agreement with experimental data obtained from the literature. The maximum error was around 10%. The study has gone some way towards enhancing our understanding of the particles-air behavior inside industrial equipments during filling operation. Scientific Research 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7546/1/Prediction_of_Particles-Air_Movement_in_Silo_during_Filling_Operation.pdf Siti Ilyani, Rani and Jolius, Gimbun and Badhrulhisham, Abdul Aziz (2014) Prediction of Particles-Air Movement in Silo during Filling Operation. Open Journal of Inorganic Non-metallic Materials, 4. pp. 21-27. (Published) http://dx.doi.org/10.4236/ojinm.2014.43004 DOI: 10.4236/ojinm.2014.43004 |
| spellingShingle | TP Chemical technology Siti Ilyani, Rani Jolius, Gimbun Badhrulhisham, Abdul Aziz Prediction of Particles-Air Movement in Silo during Filling Operation |
| title | Prediction of Particles-Air Movement in Silo during Filling Operation |
| title_full | Prediction of Particles-Air Movement in Silo during Filling Operation |
| title_fullStr | Prediction of Particles-Air Movement in Silo during Filling Operation |
| title_full_unstemmed | Prediction of Particles-Air Movement in Silo during Filling Operation |
| title_short | Prediction of Particles-Air Movement in Silo during Filling Operation |
| title_sort | prediction of particles-air movement in silo during filling operation |
| topic | TP Chemical technology |
| url | http://umpir.ump.edu.my/id/eprint/7546/ http://umpir.ump.edu.my/id/eprint/7546/ http://umpir.ump.edu.my/id/eprint/7546/ http://umpir.ump.edu.my/id/eprint/7546/1/Prediction_of_Particles-Air_Movement_in_Silo_during_Filling_Operation.pdf |