• 제목/요약/키워드: AE Signals

검색결과 386건 처리시간 0.024초

알루미늄 5083의 피로균열 진전에 따른 수명예측 및 비파괴평가 (Life Prediction of Fatigue Crack Propagation and Nondestructive Evaluation in 5083 Aluminum Alloy)

  • 남기우
    • 한국해양공학회지
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    • 제15권2호
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    • pp.94-98
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    • 2001
  • fatigue life and nondestructive evaluation were examined experimentally using surface crack specimen and compact tension specimen of 5083 aluminium alloy. Acoustic emission signals emanated during failure of aluminum alloys has been the subject of numerous investigations. Possible sources of AE during deformation have been suggested as the dislocations, fracture of brittle particles and debonding of these particles from the alloy matrix. Fatigue life and penetration behavior of long surface crack can be evaluated quantitatively using K values proposed by authors. The influence of stress ratio on the frequency characteristics of AE signals were investigated.

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SWS 490A 강의 용접 열영향부 음향방출 특성에 대한 연구(2) (A Study on the Acoustic Emission Characteristics of Weld Heat Affected Zone in SWS 490A Steel(2))

  • 이장규;우창기
    • 한국공작기계학회논문집
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    • 제15권5호
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    • pp.104-113
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    • 2006
  • The main objective of this study is to investigate the effect of compounded welding by using acoustic emission (AE) signals and doing a source location for weld heat affected zone (HAZ) through tensile testing. This study was carried out an SWS 490A high strength steel for electric shield metal arc welding, SMAW; $CO_2$ gas metal arc welding, GMAW($CO_2$); and gas tungsten arc welding, GTAW/TIG. Data displays are based on the measured parameters of the AE signals, along with environmental variables such as time and load. For instance, Gutenberg-Richter magnitude-frequency relationship (G-R MFR) offers useful b-value in data analysis. Namely event identification, source location gives the X- and Y-coordinates of the AE source. And K-means clustering analysis by Euclidean distance confirmed that was powerful to source location. Generally, strength of welded metal zone was stronger than strength of base metal. As the result, confirmed certainly that fracture is produced in HAZ instead of welded metal zone from source location.

Frequency characteristic analysis on acoustic emission of mortar using cement-based piezoelectric sensors

  • Lu, Youyuan;Li, Zongjin
    • Smart Structures and Systems
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    • 제8권3호
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    • pp.321-341
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    • 2011
  • Acoustic emission (AE) monitoring was conducted for mortar specimens under three types of static loading patterns (cubic-splitting, direct-shear and pull-out). Each of the applied loading patterns was expected to produce a particular fracture process. Subsequently, the AEs generated by various fracture or damage processes carried specific information on temporal micro-crack behaviors of concrete for post analysis, which was represented in the form of detected AE signal characteristics. Among various available characteristics of acquired AE signals, frequency content was of great interest. In this study, cement-based piezoelectric sensor (as AE transducer) and home-programmed DEcLIN monitoring system were utilized for AE monitoring on mortar. The cement-based piezoelectric sensor demonstrated enhanced sensitivity and broad frequency domain response range after being embedded into mortar specimens. This broad band characteristic of cement-based piezoelectric sensor in frequency domain response benefited the analysis of frequency content of AE. Various evaluation methods were introduced and employed to clarify the variation characteristics of AE frequency content in each test. It was found that the variation behaviors of AE frequency content exhibited a close relationship with the applied loading processes during the tests.

AE센서를 이용한 스커핑 손상의 감시 (Detecting of Scuffing Faliure using Acoustic Emission)

  • 김재환;김태환;조용주
    • 한국윤활학회:학술대회논문집
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    • 한국윤활학회 2002년도 제35회 춘계학술대회
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    • pp.34-39
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    • 2002
  • The surfaces of machine components in sliding contact such as bearing, gears and pistons etc. frequently operate under the condition of mixed lubrication due to high load, high speed and slip. These machine components often undergo the inception of scuffing in practical application. The scuffing failure is a critical problem in modern machine components, especially for the requirement of high efficiency and small size. However, it is difficult to find a universal mechanism to explain all scuffing phenomena because there are so many factors affecting the onset of scuffing. In this study, scuffing experiments are conducted using Acoustic Emission(AE) measurement by an indirect sensing approach to detect scuffing failure. Acoustic Emission(AE) signal has been widely utilized to monitor the interaction at the friction interface. Using AE signals we can get an indication about the state of the friction processes, about the quality of solid and liquid layers eon the contacting surfaces in real time. The FFT(Fast Fourier Transform)analyses of the AE signal are used to understand the interfacial interaction and the relationship between the AE signal and the state of contact is presented

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음향방출법에 의한 SM45C 고주파 열처리 강의 기계적 특성 평가 (The Analysis of Mechanical Properties of the High Frequency Induction Hardening SM45C Steel by Acoustic Emission)

  • 이장규
    • 한국기계기술학회지
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    • 제13권2호
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    • pp.93-100
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    • 2011
  • This study deals with the high frequency induction hardening (HF at $850^{\circ}C$, 120kHz & 50kW condition) SM45C steel. (1) The HF specimen, which was tempered at $150^{\circ}C$, did not show any tempering effect. A brittle fracture occurred at rounded area of the tensile specimen. AE (acoustic emission) amplitude distribution showed between 45dB and 60dB. (2) A slip and fracture occurred at the hole area of the HF specimen which was tempered at $300^{\circ}C$. As they pass the yield point, the AE energy is increased intermittently and AE amplitude distribution exists between 70dB and 85dB. In addition, after imposing the maximum tensile load, AE signals showed high amplitude and energy distribution. The AE amplitude showed between 45dB and 70dB. (3) A brittle fracture occurred at HF specimen which was tempered at $450^{\circ}C$ as if it is torn in the direction of $45^{\circ}$ on parallel area over the both sides of the tensile specimen, which lead to several peak appeared in AE energy. It was found that the AE amplitude was relatively low and the AE energy was high.

AE에 의한 WA계 비트리파이드 및 레지노이드 결합제 연삭숫돌의 결합도 평가 (Evaluation of Grade of WA-Vitrified and Resinoid Bond Grinding Wheels by Acoustic Emission)

  • 정인근;임영호;권동호
    • 한국정밀공학회지
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    • 제12권9호
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    • pp.74-85
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    • 1995
  • The purpose of this paper is to evaluate the grade of WA vitrified and resinoid bond grinding wheels by the sue of AE measuring system. When the manufactured 48 kinds of specimens were scratched by the method of OKOSHI'S grade test, the relationship between the amount of bit scratch depth of grinding wheel specimens and the character- istics of AE signals, and the relationship of AE counts and grade were considered as fololws; (1) The higher the grades are AE cumlulative event counts N and AE event count rate n, the smaller the values tend to be. But A $E_{rms}$is in reverse. (2) In the case of same grade, the smaller the grain size is, the higher the value of AE cumulative event counts N and A $E_{rms}$is results of comparison and observation. The grinding wheel with lower elasticity and with higher percentage of pore detected higher value of AE cumula- tive event counts N than with higher elasticity and lower percentage of pore. But A $E_{rms}$ is in reverse. (3) AE cumulative event counts N and bit scratch depth h have normally one to one correspondence. (4) It can be expected that quantitative evaluations of grade by using AE have been carried out by the wave observation of AE signal in line with the relationship between load speed of bit and AE cumulative event counts N & AE event count rate n.' AE event count rate n.ate n.

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음향방출법에 의한 탄소 섬유 복합 재료의 인장 및 파괴 인성시험시의 파괴 거동에 관한 연구 (A Study on the Fracture Behavior of CFRP in Tensile and Fracture Toughness Tests by Acoustic Emission)

  • 이상국;오세규;남기우;김옥균
    • 비파괴검사학회지
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    • 제15권1호
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    • pp.277-290
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    • 1995
  • 본 연구는 $[0^{\circ}/90^{\circ}]_{2S}$$[0^{\circ}\;_2/90^{\circ}\;_2]_S$의 2종류 탄소섬유복합재료에 대한 인장 및 파괴인성 시험시의 파괴거동과 음향방출 특성을 해석하고 성형시의 성형압력과 인장강도 및 파괴인성 간의 상관성을 알아내기 위하여 수행되었다. AE신호는 음향방출장비를 이용하여 성형과정, 인장 및 파괴인성 시험중에 각각 검출하였다. 인장강도는 성형가압 단계수가 적을수록, 그리고 $[0^{\circ}/90^{\circ}]_{2S}$ 시험편 쪽이 $[0^{\circ}\;_2/90^{\circ}\;_2]_S$ 시험편보다 높은 강도를 나타내었다. 파괴인성은 동일한 온도영역에서 거의 같은 값을 나타내나 시험온도가 높아질수록 점차 낮아짐을 알 수 있었다. 한편 인장 및 파괴인성 시험시의 파괴거동과 AE신호간의 상관성을 조사하기 위하여 AE데이터의 AE변수들에 대한 후 신호처리(post processing)와 광학현미경 및 주사형 전자현미경 관찰이 각각 수행되었다.

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Composite Fracture Detection Capabilities of FBG Sensor and AE Sensor

  • Kim, Cheol-Hwan;Choi, Jin-Ho;Kweon, Jin-Hwe
    • Composites Research
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    • 제27권4호
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    • pp.152-157
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    • 2014
  • Non-destructive testing methods of composite materials are very important for improving material reliability and safety. AE measurement is based on the detection of microscopic surface movements from stress waves in a material during the fracture process. The examination of AE is a useful tool for the sensitive detection and location of active damage in polymer and composite materials. FBG (Fiber Bragg Grating) sensors have attracted much interest owing to the important advantages of optical fiber sensing. Compared to conventional electronic sensors, fiber-optical sensors are known for their high resolution and high accuracy. Furthermore, they offer important advantages such as immunity to electromagnetic interference, and electrically passive operation. In this paper, the crack detection capability of AE (Acoustic Emission) measurement was compared with that of an FBG sensor under tensile testing and buckling test of composite materials. The AE signals of the PVDF sensor were measured and an AE signal analyzer, which had a low pass filter and a resonance filter, was designed and fabricated. Also, the wavelength variation of the FBG sensor was measured and its strain was calculated. Calculated strains were compared with those determined by finite element analysis.

AE 센서와 신경회로망을 이용한 NAK80 금형강의 자기연마 가공특성 모니터링 (Surface Condition Monitoring in Magnetic Abrasive Polishing of NAK80 Using AE Sensor and Neural Network)

  • 김광희;신창민;김태완;곽재섭
    • 한국생산제조학회지
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    • 제21권4호
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    • pp.601-607
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    • 2012
  • The magnetic abrasive polishing (MAP), for online monitoring with AE sensor attachment, was performed in this study. To predict the surface roughness after the magnetic abrasive polishing of NAK80, the signal data acquired from the AE sensor were analyzed. A dimensionless coefficient, which consisted of average of AErms and standard deviation of AE signal, was defined as a characteristic of the MAP and a prediction model was obtained using least square method. A neural network, which had multiple input parameters from AE signals and polishing conditions, was applied for predicting the surface roughness. As a result of this study, it was seen that there was very close correlation between the AE signal and the surface roughness in the MAP. And then on-line prediction of the surface roughness after the MAP of the NAK80 was possible by the developed prediction model.

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

  • Jun, T.O.;Park, H.S.;Ye, G.H.
    • 한국정밀공학회지
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    • 제13권11호
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    • pp.25-31
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    • 1996
  • In this paper, three different types of commercial tools -P20, NC123K and ceramic- have been used to cut 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 investigate characteristic of AE signal according to cutting condition and relationship between AE signal and flank wear land of the ceramic tool. 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 by cutting condition and it is proportional to cutting speed. (3)There have been the relationship of direct proportion between the amplitude level of AE signal and flank wear land of the tool. (4) It was observed that the value of AErms was only affected by cutting speed. Therefore it is possible to in-process detec- tion of ceraic tool's wear in case the initial value of AErms at each cutting speed decided.

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