The Acoustic Emission Testing Technology on Large Crane Structure Damage
Engineering and Applied Sciences
Volume 5, Issue 1, February 2020, Pages: 9-14
Received: Jan. 13, 2020;
Accepted: Jan. 27, 2020;
Published: Feb. 13, 2020
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Zhang Yanbing, Special Equipment Safety Supervision Inspection Institute of Jiangsu Province, Branch of Nantong, Nantong, China
Yang Li, School of Mechanical Engineering, Southeast University, Nanjing, China
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The Acoustic Emission testing application on Crane steel structure is greatly limited, because of the factors such as the random transmission path of sound wave, the influence of dynamic load noise and the discontinuity of structure. In this paper, the feasibility of Acoustic Emission detection for crane structure damage is discussed from two aspects: mechanism test and field detection. Based on the analysis of the whole test process, when lifting heavy objects and braking, the metal structure is subjected to the instantaneous gravity load of tens of tons, so that a large number of AE signals are collected by various monitoring sensors. It mainly includes active defect damage, mechanical vibration, structural friction and electrical noise, etc. At this time, the effective defect expansion signal is compared with the noise signal. However, in the load maintenance phase, the noise signal disappears or drops to a very low level. At this point, if a sensor still collects a strong active AE signal, it is highly likely that there is a damage source in this area. Compared with the traditional mechanical properties of materials, AE characteristic parameters, such as amplitude, ringing count and energy count, can reflect the microscopic damage changes of materials under load in a more detailed way. By summing up the distribution range of AE parameters corresponding to different damage mechanisms and typical signal characteristics, such as the "double peaks" phenomenon in the material yield stage, it can provide a scientific foundation for the application of AET in the metal structure damage of large lifting machinery.
Crane, Acoustic Emission (AE), Testing
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The Acoustic Emission Testing Technology on Large Crane Structure Damage, Engineering and Applied Sciences.
Vol. 5, No. 1,
2020, pp. 9-14.
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
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Dalton PR, Cawley P. and Lowe M. J. Propagation of acoustic emission signals in metallic fuselage structure [J]. IEE Proc-Sci. Meas Technol.. 2001, 148 (4): 167-177.
Mba D, Hall L D. The transmission of acoustic emission across large-scale turbine rotors [J]. NDT & E International, 2002, 35 (8): 529-539.
Naber R-R, Bahai H. Analytical and experimental validations of a numerical band-limited Green’s function approach for modeling acoustic emission waves [J]. Advances in Engineering Softwave, 2007, 38 (112): 876-885.
Herrera A Y, Calero J M, Porras-Montenegro N. Pressure, temperature, and thickness dependence of transmittance in a 1D superconductor-semiconductor photonic crystal [J]. Journal of Applied Physics, 2018, 123 (3): 033101.
Alvey C, Pfeifer C, Irianto J, et al. Mechanosensing of Solid Tumors by Cancer-Attacking Macrophages [J]. Biophysical Journal, 2018, 114 (3): 654a.
Serra P, Oosterloo T, Morganti R, et al. The ATLAS (3D) project-XIII. Mass and morphology of HI in early-type galaxies as a function of environment [J]. Monthly Notices of the Royal Astronomical Society, 2011, 422 (3).
Yao Y, Fine M E, Keer L M. An energy approach to predict fatigue crack propagation in metals and alloys [J]. International Journal of Fracture, 2016, 146 (3): 149-158.
Ferreira S E, Castro J T P D, Meggiolaro M A. Using the strip-yield mechanics to model fatigue crack growth by damage accumulation ahead of the crack tip [J]. International Journal of Fatigue, 2017, 103: 557-575.
Brunner, Andreas J. Identification of damage mechanisms in fiber-reinforced polymer-matrix composites with Acoustic Emission and the challenge of assessing structural integrity and service-life [J]. Construction and Building Materials, 2018, 173: 629-637.
Castelluccio G M, Mcdowell D L. Microstructure-sensitive small fatigue crack growth assessment: Effect of strain ratio, multiaxial strain state, and geometric discontinuities [J]. International Journal of Fatigue, 2016, 82: 521-529.
Jiang Y, Xu F, Xu B. Acoustic Emission tomography based on simultaneous algebraic reconstruction technique to visualize the damage source location in Q235B steel plate [J]. Mechanical Systems and Signal Processing, 2015, 64-65: 452-464.
Zheng XL. Mechanical behavior of engineering materials [M]. Xi'an: northwestern polytechnical university press, 2004.
Li MY, Shang ZD, et al. Acoustic emission detection and signal processing [M]. Beijing: Science press, 2010.
Zhang YH, Zhang WB, Zhang YB, et al. Acoustic emission characteristics of Q235B steel plate during tensile damage test [J]. Journal of vibration and shock, 2015, 34 (15): 156-161.
Wu ZW, Shen GT, et al. The status of acoustic emission technology in crane nondestructive testing [J]. Hoisting and conveying machinery, 2007 (10): 4.