Study on stress distribution of a subsea Ram BOP body based on simulation and experiment

Tang, Yula; Liu, Q.Y.; Chuan, Xie; Chen, S.W.

doi:10.1016/j.engfailanal.2014.12.018

Cited by 17 publications

(4 citation statements)

References 10 publications

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“…Coulomb's law of friction is used between them, and the coefcient of friction is 0.15 [24]. Due to the nonlinear nature of the contact phenomena [25,26], an explicit method has been chosen to solve the problem. A reference point is set at the center of the end face, which is coupled to the end face.…”

Section: Materials Parameters and Meshmentioning

confidence: 99%

Numerical Analysis of the Stress Distribution and Concentration Factors of the Tool Joint of the Directional Drill Pipe

Shu

Zhao

Mei

et al. 2023

Mathematical Problems in Engineering

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With the wide application of directional drilling technology in coal mine predraining boreholes, the failure problem of the tool joint of the directional drill pipe has become one of the main factors restricting the drilling efficiency. The main reason for the failure problem of the tool joint of the directional drill pipe is the stress concentration. The stress test rig for the tool joint of the directional drill pipe is designed based on the resistance strain measurement method, and the stress of the tool joint of the directional drill pipe is tested. The tool joint’s 3D finite element model was established based on nonlinear contact theory. The experiment verified the accuracy of this model. The stress distribution of the tool joint of the directional drill pipe was obtained. The research shows that the stress of the tool joint of the directional drill pipe is concentrated at the root between the third and the fourth turn of the engaged thread. The work presented in this study is a reliable guide to the design and field use of the tool joint of the directional drill pipe.

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Section: Materials Parameters and Meshmentioning

confidence: 99%

Numerical Analysis of the Stress Distribution and Concentration Factors of the Tool Joint of the Directional Drill Pipe

Shu

Zhao

Mei

et al. 2023

Mathematical Problems in Engineering

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“…Magnetic particle and penetration methods can be used to detect surface cracks on the welding part of the BOP main bore metal seal; however, there is no good method to detect internal buried defects. Tang et al [4] conducted simulations and experiments on the stress distribution of a 2FZ54-105 double-ram-type BOP. Their results showed that stress concentrations exist on the internal surface of the valve body near the intersection of the stamping cavity and the vertical hole, the flange neck at the intersection of the flange and the valve body, the connection between the small flange neck and the valve body, and the edge of the arc surface in the stamping cavity.…”

Section: Introductionmentioning

confidence: 99%

Buried Defect Detection Method for a Blowout Preventer Seal Ring Groove Based on an Ultrasonic Phased Array

Wang

Zhang

Yu³

et al. 2022

Materials

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This study aims to investigate an accurate detection method to detect defects in the gasket ring groove of the blowout preventer (BOP) using the ultrasonic phased array technology. Traditionally, it is difficult to accurately determine the type and size of defects in the gasket ring groove due to the complexity of the BOP configuration and the interference between the defect echo and the structural echo when using the ultrasonic phased array detection technology. In this study, firstly, the appropriate detection process parameters are determined by using simulation software for simulating and analyzing the defects of different sizes and types in the gasket ring groove of a BOP. Thereafter, according to the detection process parameters determined by the simulation analysis, we carry out a corresponding actual detection test. Simulation analysis and detection test results show that the relative amplitude of the test results and the simulation results differ within 1 dB, and the simulation results have a guiding role for the actual detection. The defect echo and structure echo can be clearly distinguished by selecting appropriate detection process parameters, such as probe frequency 5 MHz, array elements 36, and probe aperture 16 mm. The research results can provide theoretical reference for the detection of blowout preventer.

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“…As a novel tool for analyzing a mechanical fault signal, the Empirical Mode Decomposition (EMD), Local Mean Decomposition (LMD) and other self-adaptive signal processing methods proposed by the relevant scholars have been used widely in the field of mechanical vibration fault diagnosis [3][4][5][6]. Variational mode decomposition (VMD) is a new method of adaptive signal decomposition recently proposed by Dragomiretskiy and Zosso [7], which can decompose a complicated multi-component vibration signal into a set of modal functions with a limited bandwidth by solving the constrained variational model in the variational frame, and separate the frequency of each signal component.…”

Section: Introductionmentioning

confidence: 99%

Feature extraction method based on VMD and MFDFA for fault diagnosis of reciprocating compressor valve

Liu¹,

Wang²,

Liu³

et al. 2017

J. vibroeng.

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Aiming at the nonlinearity, nonstationarity and multi-component coupling characteristics of reciprocating compressor vibration signals, an integrated feature extraction method based on the variational mode decomposition (VMD) and multi-fractal detrended fluctuation analysis (MFDFA) is proposed for a fault diagnosis for a reciprocating compressor valve. Firstly, to eliminate the noise interference, a novel VMD method with superior anti-interference performance was utilized to obtain several components of the quasi-orthogonal band-limited intrinsic mode function (BLIMF) from a strong non-stationarity vibration signal, and a consistent number K of BLIMFs was selected based on a novel criterion for all fault states. Secondly, the MFDFA method, which can describe the multi-fractal structure feature of non-stationary time series, was applied to analyze each BLIMF component, and the parameters of MFDFA were employed as the eigenvectors to reflect the structure characteristics and local scale behavior of the vibration signal. Then, the principal component analysis (PCA) was introduced to refine the eigenvectors for a higher recognition efficiency and accuracy. Finally, the vibration signals of four types of reciprocating compressor valve faults were analyzed by this method, and the faults were identified correctly by pattern classifiers of BTSVM and CNN. Further results comparison with other feature extraction methods verifies the superiority of the proposed method.

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Study on stress distribution of a subsea Ram BOP body based on simulation and experiment

Cited by 17 publications

References 10 publications

Numerical Analysis of the Stress Distribution and Concentration Factors of the Tool Joint of the Directional Drill Pipe

Numerical Analysis of the Stress Distribution and Concentration Factors of the Tool Joint of the Directional Drill Pipe

Buried Defect Detection Method for a Blowout Preventer Seal Ring Groove Based on an Ultrasonic Phased Array

Feature extraction method based on VMD and MFDFA for fault diagnosis of reciprocating compressor valve

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