In the gas and industry, erosion that is brought on by particles in pipe bends is a severe issue that can lead to failure or equipment malfunction.The computational fluid dynamics (CFD) approach is primarily utilized in the presented study in order to investigate the erosion distributions as well as particle trajectories in pipe bends under various influencing conditions.Throughout upstream petroleum production activities, crude oil as well as eroded sand from formation zones is frequently transported together via pipes up to flow stations and between flow stations and pipe.The rotator fin is propelled by flow momentum in the stream-lines which are particle-laden flow pipe walls, particularly at the elbows, causing erosive damages, which could result in costly and disastrous system failure.Thus, calculating the erosion rate while the system is operating is essential to predict failures and preventing them.Of all fittings used in the piping systems, the elbows are the most prone to experience erosions brought on by oil-carried rotator fins that veer off course and strike the walls as they pass through the bent portions of elbows.The numerical simulation-based erosion prediction model was used in order to calculate relative erosion severity so as to lessen erosive damage caused through the solid rotator fin.Physical features such as particle tracking, flow turbulence, and erosion simulation were merged in this work to create the potentials needed to fully represent the present issue.The computational simulation related to crude oil flow offers comprehensive insights, but it also allows for the avoidance of significant expenses and laborious attempts associated with conventional experiments.The new analysis provides invaluable physical information that may be utilized to assess oil recovery and employ the model as an alternate particle-laden flow management tool.Additionally, it might pinpoint limiting processes and elements; develop a computer-aided tool to optimize and design future pipe systems for increasing their lifetime by enhancing their erosion resistance, which would undoubtedly save a significant amount of cost and time.
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Salman et al. (2024) studied this question.
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