• Title/Summary/Keyword: acoustic emission (AE)

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Evaluation of Static Structural Integrity for Composites Wing Structure by Acoustic Emission Technique (음향방출법을 응용한 복합재 날개 구조물의 정적구조 건전성 평가)

  • Jun, Joon-Tak;Lee, Young-Shin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.37 no.8
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    • pp.780-788
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    • 2009
  • AE technique was applied to the static structural test of the composite wing structure to evaluate the structural integrity and damage. During the test, strain and displacements measurement technique were used to figure out for static structural strength. AE parameter analysis and source location technique were used to evaluate the internal damage and find out damage source location. Design limit load test, the 1st and 2nd design ultimate load tests and fracture test were performed. Main AE source was detected by an sensor attached on skin near by front lug. Especially, at the 1st design ultimate test, strain and displacements results didn't show internal damage but AE signal presented a phenomenon that the internal damage was formed. At the fracture test, AE activities were very lively, and strain and displacements results showed a tendency that the load path was changed by severe damage. The internal damage initiation load and location were accurately evaluated during the static structural test using AE technique. It is certified from this paper that AE technique is useful technique for evaluation of internal damage at static structural strength test.

Optimization of Friction Welding of Cr-Mo Steels and Real-Time Nondestructive Evaluation by Acoustic Emission Method (Cr-Mo강의 마찰용접 최적화와 음향방출법에 의한 실시간 비파괴적 평가)

  • Oh, S.K.;Jang, J.H.;Chang, H.K.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.15 no.4
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    • pp.511-519
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    • 1996
  • The purposes of this study are 1) to develop optimum FRW technique of SNCM220, SCM435, SACM645 and SCM415 bar-to-bar similar friction welding, 2) to develop in-process real-time weld quality nondestructive evaluation technique by acoustic emission method, and 3) to certify of weld quality by inspection of tensile fracture surface on friction welded joints.

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A Study on Detection of Tool Wear by Cutting Signal Measurements in Multi-insert Face Milling (정면밀링시 절삭신호측정에 의한 공구마모 검출에 관한 연구)

  • 김성일
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.6 no.4
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    • pp.124-129
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    • 1997
  • The experimental investigation is mainly focused to detect tool wear by cutting signal measurements in multi-insert face milling SS 41 and STS 304. This research have investigated the effects on the insert number, which has relationship with mean-cutting force. AE(acoustic emission) signal, tool life and surface roughness in machining SS41 and STS 304. The cutting force and AE signal are monitored to analyse the cutting process, The surface roughness of the specimens machined by TiN coated tool with the various insert numbers measured at various cutting speeds, feed rates and depths of cut, The width of flank wear is also observed.

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Leak Evaluation for Power Plant Valve Using Multi-Measuring Method

  • Lee, Sang-Guk;Park, Jong-Hyuck;Kim, Young-Bum
    • Journal of the Korean Society for Nondestructive Testing
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    • v.28 no.6
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    • pp.469-476
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    • 2008
  • Condition based maintenance(CBM) for the preventive diagnosis of important equipments related to safety or accident in power plant is essential by using the suitable methods based on actual power plant conditions. To improve the reliability and accuracy of the measured value at the minute leak situation, and also to monitor continuously internal leak condition of power plant valve, the development of a diagnosis and monitoring technique using multi-measuring method should be performed urgently. This study was conducted to estimate the feasibility of multi-measuring method using three different methods such as acoustic emission(AE) method, thermal image measurement and temperature difference$({\Delta}T)$ measurement that are applicable to internal leak diagnosis for the power plant valve. From the experimental results, it was suggested that the multi-measuring method could be an effective way to precisely diagnose and evaluate internal leak situation of valve.

Surface Grinding Process by Slot-shaped Grinding Wheel (슬롯형상의 연삭숫돌에 의한 평면연삭가공)

  • 왕덕현
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.8 no.1
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    • pp.52-59
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    • 1999
  • An experimental study on the grinding temperature, surface roughness and Acoustic Emission(AE) signals was conducted with different shapes of wheel. The grinding characteristics for slotted shapes of wheel changed by width and helical angle, were compared with those by general one. Lower grinding temperature was obtained for 30$^{\circ}$helical angle with 10mm width and Root Mean square(RMS) values of AE signals were lower for slotted shapes rather than general one. Surface roughness characteristics of slotted shapes found to be rough but the value of roughness for 45$^{\circ}$helical angel with 6mm width, represented to similar tendency general one.

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A Study on the Aging Characteristics of Power Capacitors using Electrical Methods (전기적 방법을 이용한 전력용 콘덴서 열화특성 연구)

  • 김은식;김영욱;김종서;윤철섭;박대희
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1998.11a
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    • pp.199-202
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    • 1998
  • Power capacitors are highly reliable equipment due to their completely enclosed configuration. Aging diagnosis system using partial discharge(PD) and acoustic emission(AE) is being highlighted as a research area for degradation of power capacitors. Their dielectric strength can be however reduced due to some stresses such as over-voltage or thermal degradation of the insulation material during their long period of operation. In this paper, it has been developed to express the AE of the EVENT(average amplitude) and HIT(pulse count) according to the source location. And real time measurement of PD signals for aging diagnosis of power capacitors.

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Friction Welding of Dissimilar Press Punch Materials and Its Evaluation by AE (신소재 금형펀치의 이종재 마찰용접 개발과 AE품질평가를 위한 연구)

  • 오세규;박일동;이원석
    • Journal of Welding and Joining
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    • v.15 no.2
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    • pp.43-53
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    • 1997
  • The complete joining method for dissimilar press punch materials and its real-time evaluation method is not available at present. Brazing method has been used for joining them, but it is known that the welded joint by the brazing has the lower bonding efficiency and reliability than the diffusion welding. The friction welding with a diffusion mechanism in bonding was applied in this study. This work was carried out to determine the proper friction welding conditions and to analyze mechanical properties of friction welded joints of sintered carbide tool materials (SKNM50 for the blade part of press punch) to alloy steel (SCM440 for the shank part of press punch) using aluminum (A6061 for the interlayer material) as an insert material between the sintered carbide tool materials and the alloy steel. In addition, acoustic emission test was carried out during friction welding to evaluate the weld quality.

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Application of Acoustic Emission Technique for Detection of Crack in Mortar and Concrete (모르터와 콘크리트의 균열검출을 위한 음향방출기법의 적용)

  • 진치섭;신동익;장종철
    • Proceedings of the Korea Concrete Institute Conference
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    • 2000.10a
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    • pp.739-744
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    • 2000
  • Concrete structures generally have cracks, so for the safety and durability of structures, studies to detect cracks using nondestructive tests have been treated in great deal. In order to assure the reliability of concrete structure, microscopic fracture behavior and internal damage progress of concrete under the loading should be fully understood. The purpose of this study predicts location of initial crack and measures direction of crack propagation for on-line monitoring before the crack really grows in structures by using two-dimensional Acoustic Emission(AE) source location based on rectangular method with three-point bending test. This will allow efficient maintenance of concrete structure through monitoring of internal cracking based on AE method.

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Characteristics of Elastics Waves of Fiber-Reinforced Plastic with Localized Heat Damage (국부 열손상을 받은 복합재료의 탄성파특성)

  • 남기우;김영운
    • Journal of Ocean Engineering and Technology
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    • v.16 no.4
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    • pp.48-53
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    • 2002
  • Fiber-reinforced composites are extensively used in electronic, ship and aerospace applications due to their high strength and high toughess. In these applications, they are often subjected to localized heat damage due to various sources. In order to ensure their reliability, it is important to predict their residual properties using nondestructive evaluation thchniques. Fabric fiber composite specimens were manufactured with six layers of the glass-fiber prepreg and the carbon-fiber prepreg, respectively. The specimens were subjected to a localized heat damage using a heated copper tip with a diameter of 10mm at 35$0^{\circ}C$(CFRP) and 30$0^{\circ}C$(GFRP), respectively. The specimens were then subjected to tension tests while acoustic emission (AE) activities of specimens were collected. The AE activity of all specimens showed three types of distinct frequency regions. Those are matrix cracking, failure of the fiber/matrix interface and fiber breakage.

Multi-signal characteristics for condition monitoring of micro machined surface (미세가공면의 상태 감시를 위한 다중신호특성에 관한 연구)

  • Jang, Su-Hoon;Park, Jin-Hyo;Kang, Ik-Soo;Kim, Jeong-Suk
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.8 no.1
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    • pp.31-36
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    • 2009
  • Micro-machining technology has been adopted for shape accuracy of micrometer and sub-micrometer scale, surface roughness of tens nanometer in industries. In micro-machining process the quality of machined surface is derived from machining condition and tooling. This paper investigates AE(acoustic emission) and cutting force signals according to machined surface quality related to machining condition. Machined surface quality was analyzed by the AE and cutting force parameter which reflect surface morphology. The characteristics of signal were extracted for process optimization by monitoring both the tool condition and the machined surface texture in micro end milling process.

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