• Title/Summary/Keyword: Fracture Signal

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A Study on Fracture Behaviors of Single-Edge-Notched Glass Fiber/Aluminum Laminates Using Acoustic Emission (음향방출법을 이용한 편측노치를 갖는 유리섬유/알루미늄 적층판의 파괴거동 해석)

  • Woo Sung-Choong;Choi Nak-Sam
    • Composites Research
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    • v.18 no.2
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    • pp.1-12
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    • 2005
  • Fracture behaviors of single-edge-notched monolithic aluminum plates and glass fiber/aluminum laminates under tensile loadings have been studied using acoustic emission(AE) monitoring. AE signals from monolithic aluminum could beclassified into two different types. For glass fiber/aluminum laminates, AE signals with high amplitude and long duration were additionally confirmed on FFT frequency analysis, which corresponded to macrocrack propagation and/or delamination. AE source location determined by signal arrival time showed the zone of fracture. On the basis of the above AE analysis and fracture observation, characteristic features of fracture processes of single-edge-notched glass fiber/aluminum laminates were elucidated according to different fiber ply orientations and fiber/aluminum lay-up ratios.

Evaluation of AR Characteristics on Microscopic Fracture Mechanism of A17075/CERP Hybrid Composite (Al 7075/CFRP 하이브리드 복합재료의 미시적 파괴특성에 대한 AE특성평가)

  • 이진경;이준현;윤한기
    • Composites Research
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    • v.15 no.5
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    • pp.1-6
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    • 2002
  • When compared to other composite materials such as FRP and MMC, hybrid composite material is more attractive one due to the high specific strength and the resistance to fatigue. However, the fracture mechanism of hybrid composite material is extremely complicated because of the bonding structure of metals and FRP. Recently, nondestructive technique has been used to evaluate the fracture mechanism of these composite materials. In this study. AE technique has been used to clarify the fracture mechanism and the degree of damage for Al 7075/CFRP hybrid composite material. It was found that AE event, energy and amplitude among AE parameters were effective to evaluate fracture process of Al 7075/CFRP composite material. In addition, the relationship between the AE signal and the characteristics of failure surface using optical microscope was discussed.

An Experimental Study on Cutting Force Signal and Tool Wear in End Milling (엔드밀링 가동시 절삭력 신호와 공구마모에 대한 실험적 연구)

  • 박철기
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1998.03a
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    • pp.30-34
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    • 1998
  • In-process monitoring of cutting conditions and tool wear is important for improving productivity. This paper is concerned with on-line monitoring of tool wear and cutting force in end milling operation. The experimental study deals with the relations between flank wear and cutting force signal. Tool wear is detected by monitoring of cutting signal. A monitoring procedure is shown in this paper. The influence of flank wear on cutting signal activity was examined. The results are presented in the form of graphs. The analysis of the cutting signal and flank wear curves provides useful indicators of unacceptable wear development in the tool.

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A Study on Detection of Cutting Tool Fracture by Dual Signal Measurements (이중신호에 의한 공구파손 검출에 관한 연구)

  • 윤재웅;양민양;박화영
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.16 no.4
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    • pp.707-722
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    • 1992
  • Fracture of a cutting tool is one of the most serious problems in machining systems. Therefore, several methods have been proposed so far to detect cutting tool fracture. However, most of them have some problems from the viewpoint of practical applications. In this study, the feasibility of using acoustic emission and cutting force signals for the detection of massive tool breakages as well as small fracture of cutting tools were investigated. Turning experiments were performed using conventional carbide inset tools under realistic cutting conditions and the SM45C steel and heat treated SM45C steel were used as a workpiece. And the sensitivities of the AE and cutting force signals to the fracture of cutting tools were illustrated. Finally, a detection algortithm for the fracture of cutting tools was developed through the analysis of these dual signals in the several types of tool fracture.

Fracture Behavior Analysis in CFRP Specimens by Acoustic Emission and Ultrasonic Test (음향방출 및 초음파시험을 이용한 CFRP 시험편의 파괴 거동 해석)

  • Ahn, Seok-Hwan;Nam, Ki-Woo
    • Journal of the Korean Society for Nondestructive Testing
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    • v.21 no.3
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    • pp.251-260
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    • 2001
  • Damage Profess of CFRP laminates under monotonic tensile test was characterized by the correlation between Acoustic Emission(AE) and Ultrasonic Test(UT). The amplitude distribution of AE signal from a specimens is an aid to the determination of the extent of the different fracture mechanism such as matrix crack, debonding, fiber pullout and fiber fracture as load is increased. In addtion, the characteristics of ultrasonic amplitude attenuation are useful lot analysis of the different type of fracture mechanism. Different orientation of carbon fiber reinforced plastic specimens were used to investigate the AE amplitude range and ultrasonic amplitude attenuation. Finally, loading-unloading tests were carried out to check Felicity effect. During the tests, ultrasonic amplitude attenuation was investigated at the same time and compared with AE parameters. The result showed that two parameters of both AE and UT could be effectively used for analysis of fracture mechanism in CFRP laminates.

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A Study on Cutting Toll Damage Detection using Neural Network and Cutting Force Signal (신경망과 절삭력을 이용한 공구이상상태감지에 관한 연구.)

  • 임근영;문상돈;김성일;김태영
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.04a
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    • pp.982-986
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    • 1997
  • A method using cutting force signal and neural network for detection tool damage is proposed. Cutting force signal is gained by tool dynamometer and the signal is prepocessed to normalize. Cutting force signal is changed by tool state. When tool damage is occurred, cutting force signal goes up in comparison with that in normal state. However,the signal goes down in case of catastrophic fracture. These features are memorized in neural network through nomalizing couse. A new nomalizing method is introduced in this paper. Fist, cutting forces are sumed up except data smaller than threshold value, which is the cutting force during non-cutting action. After then, the average value is found by dividing by the number of data. With backpropagation training process, the neural network memorizes the feature difference of cutting force signal between with and without tool damage. As a result, the cutting force can be used in monitoring the condition of cutting tool and neural network can be used to classify the cutting force signal with and without tool damage.

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The Evaluation of Interlaminar Fracture Toughness and AE Characteristics in a Plain Woven CFRP Composite with DCB Specimen (DCB 시험편의 평직 CFRP 복합재 층간파괴인성 및 AE 특성 평가)

  • Yun Yu-Seong;Kwon Oh-Heon
    • Journal of the Korean Society of Safety
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    • v.20 no.1 s.69
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    • pp.49-54
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    • 2005
  • Recently, many kinds of advanced composite materials have been used in various industry fields. Among them, fabric CFRP composites are being used as primary structural components in many applications because of their superior properties. However, the complexity of the fabric structure makes understanding of their failure behavior very difficult. The mechanical strength and crack propagation of plain woven carbon fiber fabric laminate composites are examined by acoustic emission(AE) method. AE signals are acquired during the tensile test and fracture tests. Thus, the relationship between AE signal and mechanical behavior curves and crack extension length are shown. Also the interlaminar fracture toughness in terms of AE characteristics are discussed in viewpoint of crack propagation behavior.

A Study on the characteristics of the Signals of AE according to Fracture mode of CFRP (Carbon Fiber Reinforced Plastic(CFRP)복합재의 파괴 거동에 따른 Acoustic Emission(AE)신호 특성에 관한 연구)

  • Lee, Kyung-Won;Kim, Jong-Hyun;Kim, Jae-Seong;Lee, Bo-Young
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.17 no.4
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    • pp.42-47
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    • 2009
  • Recently, the wide range of the composite materials is used for the making airplanes, trains and automobiles body for the lightweight. Despite having complex structures, composite materials usually have well defined mechanical characteristics. However, composite materials are difficult to understand the fracture mechanism clearly by simple mechanical test. Nondestructive evaluation (NDE) combined with mechanical testing can play a more important role and especially Acoustic Emission Testing (AET) would become known to be a useful tool to assess damage and fracture behavior of composites. In this study The experiment was performed to acquire the acoustic emission signal during tensile test using unidirectional CFRP specimen and the data was analyzed the acoustic emission parameters with the waveform.

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Characterization of Acoustic Emission Signal for Welding Flaw and Stress Corrosion of SPPH Steels (SPPH강의 용접결함과 응력부식에 따른 음향 방출 신호의 특성)

  • Kim, Sung-Dai;Jung, Woo-Gwang;Lee, Jong-O;Jung, Yu-Jin
    • Journal of the Korean Society for Nondestructive Testing
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    • v.27 no.2
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    • pp.97-104
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    • 2007
  • An investigation has been made on the relationship between characteristics of Acoustic Emission (AE) signal in welding flaw and the stress corrosion defect in-service for the high pressure pipe steel. In order to tackle the problem of welding flaw in high pressure pipe, specimens were made by the aid of the application of both corrosion liquid usage and a quenching method after local heating. The amplitude of signal was $60{\sim}75\;dB$ in the territory which is suspected for defect, and the specimens which only have welding flaw showed gradients of 0.034, 0.034, 0.035. Moreover, there is a certain increase in gradient even though the differences are very slight. That is, corrosion specimens showed new gradients of 0.040, 0.039, 0.041 which put welding flaw and corrosion mechanism together. After pressurizing 3 minutes, AE signal has been detected from welding flaw easily in each part of the section. It is possible to predict the occurrence and also prevent the damage of stress corrosion crack which has characteristics of cleavage fracture.

The Checkrein Deformity of Extensor Hallucis Longus Tendon and Extensor Retinaculum Syndrome with Deep Peroneal Nerve Entrapment after Triplane Fracture: A Case Report (원위 경골 삼면골절 후 발생한 장무지신전건의 체크레인 변형 및 심부비골신경이 포착된 신전지대 증후군: 증례 보고)

  • Gwak, Hyungon;Ahn, Jungtae;Lee, Jae Hoon
    • Journal of Korean Foot and Ankle Society
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    • v.25 no.3
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    • pp.145-148
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    • 2021
  • A checkrein deformity can occur after a distal tibiofibular fracture. Usually, a checkrein deformity due to a dysfunction of the extensor hallucis longus muscle is rarer than that of the flexor hallucis longus. Only a few related studies have been reported. The authors encountered an extensor hallucis longus checkrein deformity due to extensor retinaculum syndrome while managing a triplane fracture. In magnetic resonance imaging, an increase in the heterogeneous signal was observed on the T2-weighted images suggesting muscle necrosis or ischemic changes in a part of the extensor hallucis muscle. Postoperative great toe motor weakness, unintentional movement, sensory changes, and weakness improved spontaneously during the follow-up.