Effect of sand particles on the Erosion-corrosion for a different locations of carbon steel pipe elbow

Amara, M.; Muthanna, Bassam Gamal Nasser; Abbès, Miloud Tahar; Méliani, M. Hadj

doi:10.1016/j.prostr.2018.12.151

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…This situation may affect the energy transport significantly and increase the possibility of corrosion to occur. Many authors have studied the interaction between fluid and solid or solid-solid for two types of damage such as erosion and corrosion of steel pipelines [12][13][14][15]. El-Gammal et al [16] have presented the flow accelerated corrosion of a 90-degree elbow by computational fluid dynamics (CFD) simulation.…”

Section: Introductionmentioning

confidence: 99%

Numerical study of semi-elliptical cracks in the critical position of pipe elbow

Muthanna

Bouledroua

Meriem-Benziane

et al. 2019

Frattura Ed Integrità Strutturale

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Pipelines are considered as a major tool to transport hydrocarbons due to its important role in transporting fluids taking into account the operating conditions. Despite the importance of the elbow which considered as a critical part in the pipelines, the repeated failures and defects became a dangerous and enormously costly issue. In this numerical study, the Fluid-Structure Interaction (FSI) analysis was carried out using Ansys software. This work is divided into four main parts: the first part focused on studying and comparing the effect of bending radius of pipe elbow on the maximum of Von-Mises stress values for each radius with the yield stress of the steel of the pipe. The second part focused on the creation of a semielliptical crack for different locations along the elbow angles to show the critical position compared to the stress intensity factors. In the third part, the Citation: Muthanna, B. G. N., Bouledroua, O., Meriem-Benziane, M., Hadj Meliani, M.,

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Section: Introductionmentioning

confidence: 99%

Numerical study of semi-elliptical cracks in the critical position of pipe elbow

Muthanna

Bouledroua

Meriem-Benziane

et al. 2019

Frattura Ed Integrità Strutturale

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“…Various methods are employed to predict the rates, locations, and patterns of erosion-corrosion. In [8] Computational Fluid Dynamics (CFD) simulations of a laminar flow with solid particles were performed for erosion prediction in 90° elbow. The main goal of this research was to study how different dimensions of sand affect tube corrosion depending on the different aperture of the valve during water flow with solid particles.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive analysis of the erosion in a carbon steel boiler tube elbow through the use of 3D mapping of the corroded surface and CFD modelling

Bukharin¹

2023

Advanced Topics in Mechanics of Materials, Structures and Construction

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Abstract. Erosion corrosion is a common problem that affects boiler tubes, particularly those in power plants and industrial settings where hard water and abrasive particles are present in the flow. These particles can cause physical erosion to the surface of the tubes, which can then lead to further corrosion. This type of corrosion is often accelerated by the high temperatures and pressures present in a boiler system, as well as the presence of oxygen. The combination of physical erosion and chemical corrosion attack can cause significant damage to the tubes, reducing their ability to efficiently transfer heat and potentially leading to system failure. Therefore, it is important to predict rates of erosion to prevent costly and potentially dangerous failures. The focus of this paper is an investigation into the effects of erosion caused by hard water particles on a carbon steel boiler tube elbow (ANSI 16.9). A semi-empirical procedure, which considers properties of the material and flow parameters, is developed for predicting erosion rates. The study revealed that the primary erosion damage occurred on the extrados of the bend. The findings indicated that particles within the flow began to separate from the front wall surface, resulting in significant erosion along the lateral sides. The disappearance of erosion from the front surface of the bend was also consistent with the erosion patters observed on the eroded pipe sample, which was extracted from the line. Moreover, it was demonstrated the presence of two different erosion patterns in the separation region, which matched qualitatively the erosion pattern observed on the sample wall.

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“…The pipeline system is a cost-effective way of transporting oil and gas, widely used in the petrochemical industry. As an essential part of changing the flow direction of the pipeline system, elbows are prone to erosion damage under the erosion of the internal conveying medium [ 1 , 2 , 3 ]. Therefore, it is necessary to accurately predict the remaining wall thickness.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Erosion Prediction of 90° Elbow Based on Non-Axisymmetric Ultrasonic-Guided Wave and the PSO–LSSVM Algorithm

Wang

Zhou

et al. 2023

Sensors

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The non-axisymmetric exciting guided wave can detect the thinning section of the elbow, and the time domain energy value of the signal collected at the outer arch position of the receiving end displays a downward trend as the remaining thickness of the erosion area decreases. To address the difficulty in detecting the erosion degree of the elbow with high accuracy, this paper uses the linear frequency modulation (LFM) signal to excite a non-axisymmetric guided wave that propagates in the 90° elbow and collects signals through four PZT receivers. To predict the erosion degree, the corresponding relationship between the energy value of the four signals after fractional Fourier filtering and the degree of elbow erosion is established through the particle swarm optimization (PSO)–least squares support vector machine (LSSVM) algorithm. The results show that the method proposed has an average accuracy rate of 98.1864%, 94.7167%, 99.119%, and 99.9593% for predicting the erosion degree of four elbow samples, and 94.0039%. and 81.2976% for two new erosion degrees, which are higher than the nonlinear regression model, LSSVM algorithm, and BP neural network algorithm. This study has guiding significance for real-time monitoring of elbow erosion.

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Effect of sand particles on the Erosion-corrosion for a different locations of carbon steel pipe elbow

Cited by 11 publications

References 5 publications

Numerical study of semi-elliptical cracks in the critical position of pipe elbow

Numerical study of semi-elliptical cracks in the critical position of pipe elbow

A comprehensive analysis of the erosion in a carbon steel boiler tube elbow through the use of 3D mapping of the corroded surface and CFD modelling

A New Method for Erosion Prediction of 90° Elbow Based on Non-Axisymmetric Ultrasonic-Guided Wave and the PSO–LSSVM Algorithm

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