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Solid particle erosion modelling using CFD techniques
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Sawant, Alok (2021) Solid particle erosion modelling using CFD techniques. PhD thesis, University of Warwick.
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WRAP_Theses_Sawant_2021.pdf - Submitted Version - Requires a PDF viewer. Download (12Mb) | Preview |
Official URL: http://webcat.warwick.ac.uk/record=b3709819
Abstract
The wear of material due to chemical process is called corrosion and the wear of material due to the physical process is called erosion. The surface degradation of the material due to repeated solid particle impacts carried by the fluid is commonly known as solid particle erosion. Solid particle erosion can affect the mechanical integrity of the process, the transport and the storage equipment and it is faced by many industries, including the Oil and gas industry. To avoid costly breakdown and to reduce the maintenance downtime of the equipment, it is essential to predict erosion accurately. Predicting accurate erosion allows identifying erosion susceptible regions in the system. It will help engineers and designers to optimise the design parameters and better time maintenance of the equipment.
To predict solid particle erosion, many researchers have proposed different erosion models few of which are theoretically derived and few are based on experimental correlations. To calculate erosion accurately using these erosion models, there is a need for accurate particle information (such as particle velocity and particle impact angle at the target surface). Hence, these erosion models are used along with CFD to predict erosion in the complex geometries. CFD based erosion modelling consists of two main steps, modelling of solid particle and fluid two-phase flows and predicting the erosion using erosion models. In the present study, a new CFD based erosion solver is constructed using a set of opensource C++ libraries called OpenFOAM. The constructed CFD based erosion solver is validated with experimental data from the literature for its capability to predict particle information accurately on the target wall with the slurry and dry impact test cases. Six widely used theoretically and empirically derived erosion models have been implemented in the constructed CFD based erosion solver to predict erosion. These implemented erosion models are also validated with the experimental data from the literature and analysed for various dry impact test cases using the CFD based erosion solver. It was found that these implemented erosion models predicted erosion rate reasonably for a limited range of particle velocities and impacting angles.
A new erosion model is developed based on existing erosion models and the experimental data from the literature. The developed erosion model is validated with the experimental data from the literature for various dry impact test cases. It is found that the developed erosion model and the CFD based erosion solver significantly improved the erosion predictions for a wide range of particle impacting velocities, impacting angle and for different feed rates.
Further, the capability of the developed erosion model and the CFD based erosion solver is analysed using an application test case of 90° elbow (SS316). This test case is studied using the number of different configurations to explore the advantages and limitations of the developed erosion model and solver. This work should be of interest and beneficial to investigate erosion damage in the complicated geometries among the oil and gas industries.
Item Type: | Thesis (PhD) | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TA Engineering (General). Civil engineering (General) |
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Library of Congress Subject Headings (LCSH): | Materials -- Erosion, Materials -- Erosion -- Computer simulation, Materials -- Fatigue -- Computer simulation, Computational fluid dynamics | ||||
Official Date: | January 2021 | ||||
Dates: |
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Institution: | University of Warwick | ||||
Theses Department: | School of Engineering | ||||
Thesis Type: | PhD | ||||
Publication Status: | Unpublished | ||||
Supervisor(s)/Advisor: | Wen, Jennifer | ||||
Format of File: | |||||
Extent: | xvii, 141 leaves : illustrations | ||||
Language: | eng |
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