A critical review and analysis of pressure vessel structures

Toudehdehghan, Abdolreza; Hong, Tan Wai

doi:10.1088/1757-899x/469/1/012009

Cited by 12 publications

(3 citation statements)

References 2 publications

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“…However, current standard extinguisher solutions have several drawbacks [ 1 ]: (1) they are heavy to handle; (2) they are prone to corrosion; and (3) they have an inefficient volume-to-weight ratio, decreasing their economic and environmental viability.…”

Section: Introductionmentioning

confidence: 99%

Smartvessel: A New Extinguisher Prototype Based on New Materials and IoT Sensors

Pisonero

González-González

García-Martín

et al. 2023

Sensors

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Smartvessel is an innovative fire extinguisher prototype supported by new materials and IoT technology that seeks to improve the functionality and efficiency of conventional fire extinguishers. Storage containers for gases and liquids are essential for industrial activity as they enable higher energy density. The main contributions of this new prototype are (i) innovation in the use of new materials that provide lighter and more resistant extinguishers, both mechanically and against corrosion in aggressive environments. For this purpose, these characteristics are directly compared in vessels made of steel, aramid fiber and carbon fiber with the filament winding technique. (ii) The integration of sensors that allow its monitoring and provide the possibility of predictive maintenance. The prototype is tested and validated on a ship, where accessibility is complicated and critical. For this purpose, different data transmission parameters are defined, verifying that no data are lost. Finally, a noise study of these measurements is carried out to verify the quality of each data. Acceptable coverage values are achieved with very low read noise, on average less than 1%, and a weight reduction of 30% is obtained.

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Section: Introductionmentioning

confidence: 99%

Smartvessel: A New Extinguisher Prototype Based on New Materials and IoT Sensors

Pisonero

González-González

García-Martín

et al. 2023

Sensors

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“…With the development of economy and technology, pressure vessels are becoming more complicated and large-scale than ever. They are widely used in heavy industries including petrochemical, non-ferrous metal and nuclear industries, and structural integrity assessment has become increasingly important due to the requirement of structural life assessment and life extension [1][2][3]. As part of the structural integrity assessment, fatigue and ratchetting have become traditional topics studied by many researchers [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

A unified direct method for ratchet and fatigue analysis of structures subjected to arbitrary cyclic thermal-mechanical load histories

Wang

Chen

et al. 2021

International Journal of Mechanical Sciences

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“…If the defects originating during the manufacturing process are not detected, the vessel can break during operation. A ruptured pressure vessel can be hazardous, possibly leading to poison gas leaks, fires, or explosions, which may cause significant losses of human lives and properties [ 3 ]. Thus, the application of more efficient monitoring strategies on the production lines at critical stages is required to avoid the generation or propagation of defects [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Computer Vision System for Welding Inspection of Liquefied Petroleum Gas Pressure Vessels Based on Combined Digital Image Processing and Deep Learning Techniques

Cruz

Rivas

Quiza

et al. 2020

Sensors

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One of the most important operations during the manufacturing process of a pressure vessel is welding. The result of this operation has a great impact on the vessel integrity; thus, welding inspection procedures must detect defects that could lead to an accident. This paper introduces a computer vision system based on structured light for welding inspection of liquefied petroleum gas (LPG) pressure vessels by using combined digital image processing and deep learning techniques. The inspection procedure applied prior to the welding operation was based on a convolutional neural network (CNN), and it correctly detected the misalignment of the parts to be welded in 97.7% of the cases during the method testing. The post-welding inspection procedure was based on a laser triangulation method, and it estimated the weld bead height and width, with average relative errors of 2.7% and 3.4%, respectively, during the method testing. This post-welding inspection procedure allows us to detect geometrical nonconformities that compromise the weld bead integrity. By using this system, the quality index of the process was improved from 95.0% to 99.5% during practical validation in an industrial environment, demonstrating its robustness.

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A critical review and analysis of pressure vessel structures

Cited by 12 publications

References 2 publications

Smartvessel: A New Extinguisher Prototype Based on New Materials and IoT Sensors

Smartvessel: A New Extinguisher Prototype Based on New Materials and IoT Sensors

A unified direct method for ratchet and fatigue analysis of structures subjected to arbitrary cyclic thermal-mechanical load histories

Computer Vision System for Welding Inspection of Liquefied Petroleum Gas Pressure Vessels Based on Combined Digital Image Processing and Deep Learning Techniques

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