• KSTLE International Journal
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• 제1권1호
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• pp.29-33
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• 2000

In this study, a methodology is developed and confirmed to find the physical contact between the slider and disc due to the defects of disk during head seeking operation using acoustic emission (AE) signal. The head/disk contact was detected during random and standard seeks, whereas no contact was detected during track fellowing. During standard and random seeks, the torsion mode of slider excitation was observed at 680KHz. Therefore, it is thought that AE technique can be used as an alternative method of the glide test by monitoring existence of the torsional mode of the slider during seek operation or can be used to detect the spacing loss during seeking operation. By appropriately choosing the location of the sensor an order of magnitude increase in the sensitivity for RMS AE signal is observed. Therefore we can find take-off velocity clearly with high signal to noise ratio of AE signal.

• 한국기계연구소 소보
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• 통권19호
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• pp.61-68
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• 1989

As the system monitoring technology become required in order to improve the system performance and the productivity, we’ve studied to the detection for the tool wear and the tool breakage using AE sensors that is able to detection of generated high frequency stress pulse at cutting. The detection system is consist of a sensing part, a amplifier part, a signal processing part, and a analysis & output part. The moment (a rms and a kurtosis) of statistical method is used for analysis of AE singnal. The experiment are carried out in a CNC lathe. In this study, we achieved that the amplitude level of the AE signal and statistical moments was largely changed as the tool failure. The change rate of Kurtosis was especially large, but the change rate of the rms was small.

• Smart Structures and Systems
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• 제8권4호
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• pp.385-398
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• 2011

This paper discusses the applicability of Acoustic Emission (AE) to assess the damage in reinforced concrete (RC) structures subjected to complex dynamic loadings such as those induced by earthquakes. The AE signals recorded during this type of event can be complicated due to the arbitrary and random nature of seismicity and the fact that the signals are highly contaminated by many spurious sources of noise. This paper demonstrates that by properly filtering the AE signals, a very good correlation can be found between AE and damage on the RC structure. The basic experimental data used for this research are the results of fourteen seismic simulations conducted with a shake table on an RC slab supported on four steel columns. The AE signals were recorded by several low-frequency piezoelectric sensors located on the bottom surface of the slab. The evolution of damage under increasing values of peak acceleration applied to the shake table was monitored in terms of AE and dissipated plastic strain energy. A strong correlation was found between the energy dissipated by the concrete through plastic deformations and the AE energy calculated after properly filtering the signals. For this reason, a procedure is proposed to analyze the AE measured in a RC structure during a seismic event so that it can be used for damage assessment.

• 가정과삶의질연구
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• 제29권2호
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• pp.113-126
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• 2011

The purpose of this study was to examine the relationships among family health, parental monitoring, and the self-esteem of adolescents. Data gathered from 306 adolescents in Incheon City and Gyeonggi-do were analyzed. The major findings were as follows: First, adolescents generally perceived their family as healthy, perceived their mothers' monitoring as higher than their fathers' monitoring. And many adolescents also had positive self-esteem. Second, there were positive correlations among family health, parental monitoring, and the self-esteem of adolescents. Lastly, the relatively important factors affecting adolescents' self-esteem were family health, parental monitoring, and family economic status. This study suggests we need many family life education programs in order to enhance family health, parental monitoring, and the self-esteem of adolescents.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2000년도 춘계학술대회 논문집
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• pp.599-602
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• 2000

A new dressing technique with utilizes electrolytic phenomenon for realizing effective mirror surface grindings with metal bonded super-abrasive wheels is called “Electrolytic In-process Dressing Grinding”. This technique enabled metal bonded micro-grain wheels, such as micro-grain cast iron fiber bonded wheels, to be used for mirror surface finish processes effectively. But this technique requires a lot of knowledge and experience to perform. And the condition of dressing is variable according to the time. Therefore adaptation of Monitoring and Control technique is needed.

• 한국생산제조학회지
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• 제7권6호
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• pp.90-96
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• 1998

The ductile cast iron is austempered at 300, 350 and 40$0^{\circ}C$ temperature in order to investigate the basic factors for monitoring drill wear in automatic production process, and cutting force and AE RMS signals are measured with changing cutting condition for ADI(Austempered Ductile Cast Iron) with different mechanical properties. The signals of cutting force were influenced by cutting speed and feedrate greatly. On the other hand AE RMS signals are influenced by cutting speed where as it is not related with feedrate. As the depth of drilling increases, cutting force shows a slow increase and the value of AE RMS increases until the range of h/d=4. But over the range it increases greatly due to an amount of chip discharge and friction with inner wall of drilling hole, etc. As the drill diameter increases at a constant depth of drilling. Cutting force increases linearly, but the level of AE RMS does not increases linearly due to circumferential velocity and great influence of h/d.

• 한국측량학회지
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• 제24권3호
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• pp.271-279
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• 2006

음향방출(AE: Acoustic Emission) 기법은 구조물 내부에서 발생하는 균열을 연속적으로 모니터링 할 수 있는 효과적인 비파괴검사법이다. 본 논문에서는 AE센서을 이용하여 PSC 보에서의 파원위치를 결정하기 위한 수학적 모델을 제시하고 실험을 통해 제시된 모델을 평가하였다. 실험을 위해 제작된 5m-PSC보의 표면에서 인위적으로 쉬미트해머의 타격에 의해 탄성파를 발생시켰으며 1m 간격으로 선형으로 배치된 7개의 AE센서에 의해 탄성파의 도달시간이 측정되었다. 최소제곱법에 의해 측정된 도달시간의 잔차의 제곱합이 최소가 되도록 파원의 위치를 구한 후, 실제 타격위치와 비교하여 추정된 위치결정방법의 정확도를 평가하였다. 54개의 타격실험을 통해 얻어진 파원위치의 평균제곱근 오차는 약 2cm 이었다.

• Composites Research
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• 제18권2호
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• pp.1-12
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• 2005

본 연구에서는 음향방출법을 이용하여 편측노치를 갖는 단일 Al판재 및 유리섬유/알루미늄 적층판에 대해 인장하중하의 파괴거동을 살펴보았다 단일 알루미늄의 AE신호는 2가지 형태로 분류될 수 있었다. 유리섬유i알루미늄 적층판의 경우에는, 고진폭의 긴 유지시간의 신호를 대상으로 한 FFT 주파수 해석 결과 이러한 신호들은 거시적인 균열진전 및 층간분리에 해당하는 신호임을 알았다. 또한 도달시간차를 이용한 위치표정은 균열의 개시 및 진전과정의 특징을 보여주었다. 위와 같은 AE해석과 파괴관찰을 토대로, 편측노치를 갖는 섬유/알루미늄 적층판의 파괴특성을 해명하였으며 이는 섬유층 배향 및 섬유/알루미늄층 구성비에 의존하여 변화하였다.

• International Journal of Ocean Engineering and Technology Speciallssue:Selected Papers
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• 제4권1호
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• pp.44-50
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• 2001

Existing surface defects in structural members often act as sites of fatigue crack initiation, and if undetected, these cracks may grow through the thickness of the member, leading to catastrophic failure of the structure. Thus, in-service monitoring of fatigue cracks through reliable and effective nondestructive techniques is an important ingredient in the leak-before-break (LBB) design and safe operation of defects critical structures. An advanced, waveform-based, acoustic emission (AE) technique has been used in this paper to study the characteristics of the signals emanating from the initiation, growth and through-the -thickness penetration of surface fatigue crack in a 6061 aluminum plate. The goal of this experimental study is to determine whether the evolution of the fatigue crocks could be identified from the properties of the waveforms produced during the tests. The AE waveform signals detected at different stages of crack growth was found to have different temporal and spectral characteristics. The data analysis technique presented here can be applied to real-time monitoring of the initiation and propagation of fatigue cracks in structural components.

• 한국기계가공학회지
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• 제3권3호
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• pp.24-31
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• 2004

A successful on-line monitoring system for conventional machining operations has the potential to reduce cost, guarantee consistency of product quality, improve productivity and provide a safer environment for the operator. In fine-shape machining, typical signs of tool problems such as vibration, noise, chip flow characteristics and visual signs are almost unnoticeable without the use of special equipment. These characteristics increase the importance of automatic monitoring in fine-shape machining, however, sensing and interpretation of signals ar more complex. In addition, the shafts of the mini-tools break before the typical extensive cutting edge of the tool gets damaged. In this study, the existence of a relationship between the characteristics of the cutting force and tool usage was investigated, and tool breakage detection algorithm by LabVIEW was developed and the following results are obtained. It was possible to use a relative error compare which mainly used in established experiment and investigated tool breakage detection algorithm in time domain which can detect AE and cutting force signals more effective and accurate.