• Title/Summary/Keyword: AE Signals

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Fracture Analysis of Plasma Spray Coating by Classification of AE Signals (AE파형분류에 의한 용사코팅재의 파손해석)

  • Kim, G.S.;Park, K.S.;Hong, Y.U.
    • Journal of Power System Engineering
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    • v.6 no.3
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    • pp.24-30
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    • 2002
  • The deformation and fracture behaviors of both Al2O3 and Ni 4.5wt.%Al plasma thermal spray coating were investigated by an acoustic emission method. Plasma thermal spray coating is formed by a process in which melted particles flying with high speed towards substrate, then crash and spread on the substrate surface cooled and solidified in a very short time, stacking of the particles makes coating. A tensile test is conducted on notch specimens in a stress range below the elastic limit of substrate. A bendind test is done on smooth specimens. The waveforms of AE generated from the both test coating specimens can be classified by FFT analysis into two types which low frequency(type I) and high frequency(type II). The type I waveform is considered to corresponds exfoliation of coating layers and type II waveform corresponds the plastic deformation of notch tip. The fracture of the coating layers can estimate by AE event and amplitude, because AE features increase when the deformation generates.

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Detection of the Cutting Tool's Damage by AE Signals for Austempered Ductile Iron (오스템퍼링 처리한 구상흑연주철의 AE신호에 의한 절삭공구 손상의 검출에관한 연구)

  • 전태옥;박흥식;이공영;예규현
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.04a
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    • pp.526-530
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    • 1996
  • In this paper, three different types of commercially tools-P20, NC123K and ceramic-have been used to working austempered ductile iron(ADI). In the austempered condition the materials are hard, strong and difficult to machine. Thus, we selected a optimum tool material among three different types of used tools in machining of austempered ductile iron. It was used acoustic emission(AE) to know cutting characteristic for selected tool and flank wear land of the ceramic too. The obtained results are as follows; (1) The ceramic tool among three different types of tools is the best in machining austempered ductile iron. (2) In case of ceramic tool, the amplitude level of AE signal(AErms) is mainly affected bycutting speed in cutting speed in cutting condition and it is proportioned to cutting speed. (3) There have the relationship of direct proportion between the amplitude level of AE signal and flank wear land of the tool. (4) If it find the value of AErms at each cutting speed, the in-process detection to ceramic tool's wear is possible

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Application of the AE Technique for The Detection of Shaft Crack with Low Speed (저속회전축의 균열 검출을 위한 음향방출기법의 적용)

  • Gu, Dong-Sik;Kim, Jae-Gu;Choi, Byeong-Keun
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.20 no.2
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    • pp.185-190
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    • 2010
  • Condition monitoring(CM) is a method based on non-destructive test(NDT). So, recently many kind of NDT were applied for CM. Acoustic emission(AE) is widely used for the early detection of faults in rotating machinery in these days because of high sensitivity than common accelerometers and detectable low energy vibration signals. And crack is considered one of severe fault in the rotating machine. Therefore, in this paper, study on early detection using AE has been accomplished for the crack of the low-speed shaft. There is a seeded initial crack on the shaft then the AE signal had been measured with low-speed rotation as the applied load condition. The signal detected from crack in rotating machine was detected by the AE transducer then the trend of crack growth had found out by using some of feature values such as peak value, skewness, kurtosis, crest factor, frequency center value(FC), variance frequency value(VF) and so on.

Evaluation on Dynamic Behavior of Friction Welded Joints in Alloy718 to SCM440 using Acoustic Emission Technique (Alloy718/SCM440 마찰용접재의 AE에 의한 동적 거동평가)

  • Kim, Dong-Gyu;Kong, Yu-Sik;Lee, Jin-Kyung
    • Journal of the Korean Society of Industry Convergence
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    • v.22 no.5
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    • pp.491-497
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    • 2019
  • Dissimilar friction welding were produced using 15 mm diameter solid bar in superalloy(Alloy718) to chrome molybdenum steel(SCM440) to investigate their mechanical properties. Consequently, optimal welding conditions were n=2000 rpm, HP=60 MPa, UP=120 MPa, HT=10 sec and UT=10 sec when the metal loss(Mo) is 3.5 mm. Acoustic Emission(AE) technique was applied to analyze the dissimilar friction welding of Alloy718 and SCM440. The relationship between the AE parameters and dissimilar friction welding of both material was discussed. In the case of heating time of 6 sec, 10 sec, 14 sec and 20 sec, 5 AE events per 0.5 seconds and energy about $2.7{\times}10^{10}$ were exhibited in heating time. In upsetting time, resulting in various numbers of events per second and very low energy. The frequency range of the signal generated during the heating time was about 200 kHz. However, the upsetting time resulted in a wide range of signals from very low frequency to high frequency of 500 kHz due to rapid plasticity of the material.

Damage Assessment of Reinforced Concrete Beams Under Flexural Failure Mode Using Acoustic Emission Testing (음향방출 기술을 이용한 철근콘크리트 보의 휨 파괴 손상평가)

  • David Kim;Seonglo Lee;Wonsuk Park
    • Journal of the Korean Society of Safety
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    • v.38 no.2
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    • pp.36-43
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    • 2023
  • In this study, a four-point bending test was conducted to assess and detect the damage to reinforced concrete structures using the acoustic emission (AE) technique. Based on the crack investigation results, flexural failure was classified into four stages and compared with the characteristic analysis results of AE parameters. The parametric characterization indicated that the activity of the primary AE signal was high in the early stage, and that of the second signal increased after the flexural cracks stabilized. Because the secondary AE signal included noise generated by friction, parameter-based analysis for damage assessment was performed using the primary signal; the secondary signal was used as complement. The activity analyses of the primary and secondary signals effectively classified crack propagation; however, determining the macrocracks and yielding of reinforcing bars had certain limitations. Nevertheless, applying the damage index with cumulative AE energy is a complementary technique for detecting and assessing structure damage that well detects the occurrence of macrocracks.

Analysis of the Fracture Behavior of Plate-type Piezoelectric Composite Actuators by Acoustic Emission Monitoring (음향방출법을 이용한 평판형 압전 복합재료 작동기의 파괴거동 해석)

  • Woo, Sung-Choong;Goo, Nam-Seo
    • Journal of the Korean Society for Nondestructive Testing
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    • v.26 no.4
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    • pp.220-230
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    • 2006
  • Fracture behavior of a monolithic PZT and a plate-type piezoelectric composite actuator (PCA) has been investigated under a bending load at three points by an acoustic emission (AE) monitoring. AE signal from a monolithic PZT at the maximum bending load shows the characteristics of high amplitude and long duration with a low frequency band of $100{\sim}230kHz$ which is confirmed by fast Fourier transform (FFT). For a PCA, it is concluded that AE signals with high amplitude over 80dB and low dominant frequency band of $170{\sim}223kHz$ emitted in the stage I are due to the brittle fracture in the PZT layer and the delamination between the PZT layer and the adjacent fiber composite layer. Based on the above analysis of AE behavior and damage observations with an optical microscopy and a scanning electron microscopy, AE characteristics related to fracture behavior of asymmetrically laminated PCA have been elucidated.

FREQUENCY SPECTRUM ANALYSIS OF ACOUSTIC EMISSION OF HARD DISK DRIVE HEAD/DISK INTERACTION

  • Chung, K.H.;Oh, J.K.;Moon, J.T.;Kim, D.E.
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 2002.10b
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    • pp.273-274
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    • 2002
  • In order to evaluate the flying characteristics of slider, the acoustic emission (AE) as well as friction signals are typically utilized. In this work the frequency spectrum analysis is performed using the AE signal obtained during the head/disk interaction such as load/unload mechanism using ramp, impact situation in the presence of a bump on disk surface and other contact phenomena including particle interaction. It was shown that the influence of impact can be characterized effectively in the AE frequency spectrum. As a result of this work, frequency spectrum analysis will be utilized with better understanding for studying the head/disk interface (HDI) characteristics and monitoring the particle interaction in HDI effectively.

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Energy Distribution Characteristics of Nonstationary Acoustic Emission Burst Signal Using Time-frequency Analysis (비정상 AE 진동감시 신호의 에너지 분포특성과 시간-주파수 해석)

  • Jeong, Tae-Gun
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.22 no.3
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    • pp.291-297
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    • 2012
  • Conventional Fourier analysis can give only limited information about the dynamic characteristics of nonstationary signals. Instead, time-frequency analysis is widely used to investigate the nonstationary signal in detail. Several time-frequency analysis methods are compared for a typical acoustic emission burst generated during the impact between a ferrite ceramic and aluminum plate. This AE burst is inherently nonstationary and random containing many frequency contents, which leads to severe interference between cross terms in bilinear convolution type distributions. The smoothing and reassignment processes can improve the readability and resolution of the results. Spectrogram and scalogram of the AE burst are obtained and compared to get the characteristics information. Renyi entropies are computed for various bilinear time-frequency transforms to evaluate the randomness. These bilinear transforms are reassigned by using the improved algorithm in discrete computation.

Effects of the maximum grit depth of cut on grinding characteristics (연삭가공특성에 미치는 연삭입자 최대물림깊이의 영향)

  • 허인호
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.8 no.5
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    • pp.63-69
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    • 1999
  • In tis study the effects of the maximum grit depth of cut on the grinding characteristics were investigated. They are AE signals produced during grinding processes have been studied to find out the appropriate AE parameters for assessing grinding processes. SM45C steel has been ground under the conditions yielding removal rate of workpiece 100, 200,300, and 400m{{{{ {m }^{3 } }}}}/min which was achieved by altering workpiece velocity(v) and apparent depth of cut(Z). According to the experimental result the value of surface roughness increases but grinding power energy rate of AE signal(AErmas2) and specific grinding energy consumed decrease as increasing the maximum grit depth of cut.

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APPLICATION OF ACOUSTIC EMISSION FOR DIAGNOSIS OF QUENCH IN SUPER CONDUCTIVE MAGNET AT CRYOGENIC TEMPERATURE

  • Lee, Joon-Hyun;Lee, Min-Rae;Kwon, Young-Kin;Song, Bong-Min
    • Proceedings of the KSME Conference
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    • 2007.05a
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    • pp.160-165
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    • 2007
  • It is well recently recognized that quench is one of the serious problems for the integrity of superconducting magnets, which is mainly attribute to the rapid temperature rising in the magnet due to some extrinsic factors such as conductor motion, crack initiation etc. In order to apply acoustic emission(AE) technique effectively to monitor and diagnose superconducting magnets, it is essential to identify the sources of acoustic emission. In this paper, an acoustic emission technique has been used to monitor and diagnose quenching phenomenon in racetrack shaped superconducting magnets at cryogenic environment of 4.2K. For these purposes special attention was paid to detect AE signals associated with the quench of superconducting magnets. The characteristics of AE parameters have been analyzed by correlating with quench number, winding tension of superconducting coil and charge rate by transport current.

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