Dr Taimoor Asim t.asim@rgu.ac.uk
Associate Professor
Pipelines transporting solid-liquid mixtures are of practical interest to the oil and pipe industry throughout the world. Such pipelines are known as slurry pipelines where the solid medium of the flow is commonly known as slurry. The optimal designing of such pipelines is of commercial interests for their widespread acceptance. A methodology has been evolved for the optimal sizing of a pipeline transporting solid-liquid mixture. Least cost principle has been used in sizing such pipelines, which involves the determination of pipe diameter corresponding to the minimum cost for given solid throughput. The detailed analysis with regard to transportation of slurry having solids of uniformly graded particles size has been included. The proposed methodology can be used for designing a pipeline for transporting any solid material for different solid throughput.
ASIM, T., MISHRA, R., PRADHAN, S. and UBBI, K. 2012. A study on optimal sizing of pipeline transporting equi-sized particulate solid-liquid mixture. Journal of physics: conference series [online], 364; proceedings of 25th Condition monitoring and diagnostic engineering international congress 2012 (COMADEM 2012), 18-20 June 2012, Huddersfield, UK, article 012072. Available from: https://doi.org/10.1088/1742-6596/364/1/012072
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 25th Condition monitoring and diagnostic engineering international congress 2012 (COMADEM 2012) |
Online Publication Date | May 28, 2012 |
Publication Date | May 28, 2012 |
Deposit Date | Jun 1, 2021 |
Publicly Available Date | Jun 1, 2021 |
Journal | Journal of physics: conference series |
Print ISSN | 1742-6588 |
Electronic ISSN | 1742-6596 |
Publisher | IOP Publishing |
Peer Reviewed | Peer Reviewed |
Volume | 364 |
Article Number | 012072 |
DOI | https://doi.org/10.1088/1742-6596/364/1/012072 |
Keywords | Pipelines; Oil and pipe industry; Slurry; Methodology |
Public URL | https://rgu-repository.worktribe.com/output/867338 |
ASIM 2012 A study on optimal sizing
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