Research on Corrosion Detection Method of Oil Tank Bottom Based on Acoustic Emission Technology
Preprint
- 2 April 2024
- preprint
- Published by MDPI AG in Preprints.org
Abstract
This paper presents an acoustic emission (AE) detection method for refined oil storage tanks, enabling online detection of corrosion points and microleakage in the tank floor. The method utilizes an explosion-proof acoustic emission instrument to detect the floor of a refined oil storage tank. By calculating the time difference between the defective acoustic signal and the speed of acoustic wave transmission, a mathematical model is constructed to analyze the detected signals. A technical scheme for acoustic emission detection in storage tanks is designed, and the instru-ment is used to carry out acoustic emission testing on the product oil storage tank floor. Based on these test results, location analysis of acoustic emission sources is conducted on the bottom plate of the tank, evaluating its corrosion condition accurately. The consistency between the evaluation and subsequent open tank tests confirms that using acoustic emission technology effectively captures corrosion signals from product oil storage tank bottoms. Consequently, it significantly improves inspection efficiency by avoiding unnecessary tank-opening operations. Combining this method with open tank inspection operations such as the leakage magnetic method, one can fully grasp the status of the refined oil storage tanks.Keywords
All Related Versions
- Version 1, 2024-04-02, Preprints
- Published version: Sensors, 24 (10), 3053.
This publication has 25 references indexed in Scilit:
- Analyzing the Processes of Carbon Fiber Sample Failure Using Acoustic Emission and Strain GagingRussian Journal of Nondestructive Testing, 2023
- Study on propagation mechanism and attenuation law of acoustic emission waves for damage of prestressed steel strandsMeasurement, 2023
- −252.8 °C Liquid Hydrogen Acoustic Emission Experiment in Simulated Aerospace Fuel TankIEEE Transactions on Industrial Electronics, 2023
- Flow regime identification in aerated stirred vessel using passive acoustic emission and machine learningThe Canadian Journal of Chemical Engineering, 2023
- Experimental investigation on synergetic prediction of granite rockburst using rock failure time and acoustic emission energyJournal of Central South University, 2022
- On crack tip localisation in quasi-statically loaded, adhesively bonded double cantilever beam specimens by acoustic emissionTheoretical and Applied Fracture Mechanics, 2022
- Structural damage acoustic emission information enhancement through acoustic black hole mechanismMeasurement, 2022
- Using the acoustic emission method for testing aboveground vertical storage tank bottomsApplied Acoustics, 2022
- Feasibility of Abandoned Ammunition Materials Cold Cutting Experimental Study and Numerical PredictionIntegrated Ferroelectrics, 2020
- Evaluation of the acoustic emission monitoring method for stress corrosion cracking on aboveground storage tank floor steelInternational Journal of Pressure Vessels and Piping, 2020