• 한국공작기계학회:학술대회논문집
• /
• 한국공작기계학회 1999년도 추계학술대회 논문집 - 한국공작기계학회
• /
• pp.560-564
• /
• 1999

Burr sensing for burr size measurement and deburring process control is one of the essential elements in an automated deburring procedure. This paper presents the implementation of capacitance sensing and acoustic emission (AE) to deburring. The first application is the "on-line" measurement of burrs using a capacitance sensor. A non-contact capacitance gauging sensor is attached to an ultra precision milling machine which was used as a positioning system. The setup is used to measure burr profiles along machined workpiece edges. The proposed scheme is shown to be accurate, easy to setup, and with minor modifications, readily applicable to automatic deburring processes. As the second example, AE signals were sampled and analyzed for the sensor feedback of a precision deburring process - laser deburring -. The results, such as the sensitivity of AE signals to burr shapes and edge detection capability show a clear correlation between physical process parameters and the AE signals. A subsequent control strategy for deburring automation is also briefly discussed.

• 대한용접접합학회:학술대회논문집
• /
• 대한용접접합학회 1999년도 특별강연 및 춘계학술발표대회 개요집
• /
• pp.241-244
• /
• 1999

The purpose of this study is to examine the characteristics of stress corrosion cracking(SCC) and acoustic emission(AE) signals for the weld HAZ of HT-60 steel under corrosion control in synthetic seawater. Corrosive environment was controlled by potentiostat, and SCC experiment was conducted using a slow strain rate test method at strain rate of 10$^{-5}$ /sec. In order to verify the miroscopic fracture behaviour of the weldment during SCC phenomena, AE test was done simultaneously. Besides, correlationship between mechanical parameters and AE ones was investigated. In case of the parent, reduction of area(ROA) at -0.5V was samller than any other applied voltage such as -0.8V and -1.1V. In addition, reduction of area for the PWHT specimens at -0.8mV was larger than that of the weldment due to the softening effect according to PWHT. In case of the weldment, a lots of events was produced because of the singularities of the weld HAZ compared with the parent.

• Journal of Advanced Marine Engineering and Technology
• /
• 제7권1호
• /
• pp.23-33
• /
• 1983

경제성과 압접성능의 우수성 때문에 일반 산업기계, 방위산업기계 및 우주항공기계등의 부품생산에 응용되고 있는 마찰 용접에 있어서, 현재 주 관심사 중의 하나는 용접강도에 대한 신뢰성 높은 공정중 비파괴 검출이며 이들의 실용화를 위한 정량적 해석이다. 그러나 이러한 연구는 아직 개발 완성되지 못하고 있다. 본 연구에서는, AE법에 의한 용접강도의 공정중 비파괴적 QC시스템 개발을 최종 목적으로 한 설계자료를 얻기 위하여, 이종강의 봉과 봉, 관과 관의 마찰용접강도와 AE 총누적량에 용접조건이 미치는 영향이 실험적으로 조사되었고, 회전 속도를 매개 변수로 하여 용접강도와 AE 총누적량과의 정량관계가 수립되었다.

• 정보학연구
• /
• 제2권2호
• /
• pp.13-22
• /
• 1999

본 논문에서, 부분방전 메카니즘을 진단하고 그리고 신경망을 도입하여 수명을 예측하기 위한 기초연구로서, 온라인상에서 자동진단을 제안했다. 제안한 방법에서 우리는 음향방출 감지시스템과 그리고 펄스 수와 펄스진폭에 의해서 정량적인 통계파라메타를 사용하였다. 통계적인 파라메타인 가령, 무게중심(G)와 방전분포 경도(C)를 이용하였고 그리고 초기단계와 중기단계에 대해서 분석하였다. 정량적인 통계파라메타들은 신경망에 의해서 학습되어졌다. 초기단계에 의해서 수명예측과 절연열화의 진단이 이루어졌다. 열화가 진행하는 동안 신경망 학습을 통한 휼륭한 진단능력이 있음이 근본적으로 드러났고, 신경망이 부분방전에 있어서 절연진단 및 수명예측을 위해서 적절하다는 것이 증명되었다.

• 대한기계학회논문집A
• /
• 제33권5호
• /
• pp.514-520
• /
• 2009

In configuring an automated polishing system, a monitoring scheme to estimate the surface roughness is necessary. In this study, a precision polishing process, magnetic abrasive finishing (MAF), along with an in-process monitoring setup was investigated. A magnetic tooling is connected to a CNC machining to polish the surface of stavax(S136) die steel workpieces. During finishing experiments, both AE signals and force signals were sampled and analysed. The finishing results show that MAF has nano scale finishing capability (upto 8nm in surface roughness) and the sensor signals have strong correlations with the parameters such as gap between the tool and workpiece, feed rate and abrasive size. In addition, the signals were utilized as the input parameters of artificial neural networks to predict generated surface roughness. Among the three networks constructed -AE rms input, force input, AE+force input- the ANN with sensor fusion (AE+force) produced most stable results. From above, it has been shown that the proposed sensor fusion scheme is appropriate for the monitoring and prediction of the nano scale precision finishing process.

• 한국재료학회지
• /
• 제5권1호
• /
• pp.12-21
• /
• 1995

본 연구에서는 부식환경하에서 bulging 시험동안 음향방출거동에 미치는 변형률속도에 대한 영향을 알아보았다. 시험에 사용된 변형률속도의 범위는 $4 \times 10^{-6}S^{-1}$에서 $1 \times 10^{-4} \times S^{-1}$까지이며, AE신호 특성을 평가하기 위해 사용된 인자는 AE hit수와 진폭으로 하였다. 시험결과, 변형률속도가 감소함에 따라 등가파괴변형률과 원주방향의 균열 길이는 감소하였으나, 파괴과정동안 총 누적 AE hit수와 평균진폭은 크게 증가하였다. 그리고 AE신호 특성치의 최대점은 시험전분부에 접근하였으며, 단위 등가파괴변형률당 평균진폭이 20dB 이상에서는 뚜렷하게 응력부식륜열 현상을 관찰할 수 있었다. 또한 음향방출시험법은 변형률속도에 따른 재료의 응력부식균열 감수성 정도를 평가하는데 있어 그 적용 가능성이 있음을 알 수 있었다.

• 비파괴검사학회지
• /
• 제22권5호
• /
• pp.532-538
• /
• 2002

3가지 종류의 알루미늄 합금강의 피로균열 진전 시 균열 열림 및 닫힘에 따른 음향방출 신호를 분류하기 위하여 주성분 분석 방법과 인공신경망 기법을 적용하였다. 재료의 균열 열림과 닫힘, 마찰 등과 같은 여러 가지 AE 신호를 얻기 위하여 피로시험을 수행하였다. 주성분 분석결과 AE 파라미터의 제 1 및 제 2 주성분만으로도 균열 열렴 및 닫힘에 대한 AE 신호의 변이를 94% 이상 설명할 수 있는 것으로 분석되어 주성분 분석 기법을 이용한 균열 열림 및 닫힘에 대한 신호해석이 가능한 것으로 나타났다. AE 신호의 주성분들을 입력변수로 사용한 인공신경망을 이용하여 균열 열림 및 닫힘을 분류할 수 있는 분류기를 개발하고 평가한 결과 분류기의 입력 변수로서 2개의 주성분을 이용 할 경우 전체 AE 파라미터를 입력변수로 사용한 경우 보다 분류 성능이 향상되었다.

• 한국해양공학회지
• /
• 제25권6호
• /
• pp.91-96
• /
• 2011

In this paper, friction welded joints were constructed to investigate the mechanical properties of welded 15-mm diameter solid bars of Mg alloy (AZ31B). The main friction welding parameters were selected to endure reliable quality welds on the basis of visual examination, tensile tests, impact energy test, Vickers hardness surveys of the bonds in the area and heat affected zone (HAZ), and macrostructure investigations. The study reached the following conclusions. The tensile strength of the friction welded materials (271 MPa) was increased to about 100% of the AZ31B base metal (274 MPa) under the condition of a heating time of 1 s. The metal loss increased lineally with an increase in the heating time. The following optimal friction welding conditions were determined: rotating speed (n) = 2000 rpm, heating pressure (HP) = 35 MPa, upsetting pressure (UP) = 70 MPa, heating time (HT) = 1 s, and upsetting time (UT) = 5 s, for a metal loss (Mo) of 10.2 mm. The hardness distribution of the base metal (BM) showed HV55. All of the BM parts showed levels of hardness that were approximately similar to friction welded materials. The weld interface of the friction welded parts was strongly mixed, which showed a well-combined structure of macro-particles without particle growth or any defects. In addition, an acoustic emission (AE) technique was applied to derive the optimum condition for friction welding the Mg alloy nondestructively. The AE count and energy parameters were useful for evaluating the relationship between the tensile strength and AE parameters based on the friction welding conditions.

• International Journal of Fluid Machinery and Systems
• /
• 제8권4호
• /
• pp.264-273
• /
• 2015

This presentation describes an experimental approach for the detection of cavitation in hydraulic machines by use of ultrasonic signal analysis. Instead of using the high frequency pulses (typically 1MHz) only for transit time measurement different other signal characteristics are extracted from the individual signals and its correlation function with reference signals in order to gain knowledge of the water conditions. As the pulse repetition rate is high (typically 100Hz), statistical parameters can be extracted of the signals. The idea is to find patterns in the parameters by a classifier that can distinguish between the different water states. This classification scheme has been applied to different cavitation sections: a sphere in a water flow in circular tube at the HSLU in Lucerne, a NACA profile in a cavitation tunnel and two Francis model test turbines all at LMH in Lausanne. From the signal raw data several statistical parameters in the time and frequency domain as well as from the correlation function with reference signals have been determined. As classifiers two methods were used: neural feed forward networks and decision trees. For both classification methods realizations with lowest complexity as possible are of special interest. It is shown that two to three signal characteristics, two from the signal itself and one from the correlation function are in many cases sufficient for the detection capability. The final goal is to combine these results with operating point, vibration, acoustic emission and dynamic pressure information such that a distinction between dangerous and not dangerous cavitation is possible.

• 대한기계학회논문집A
• /
• 제26권11호
• /
• pp.2328-2335
• /
• 2002

A hybrid composite material has many potential usage due to the high specific strength and the resistance to fatigue, when compared to other composite materials such as fiber reinforced plastic(FRP) and metal matrix composite(MMC). However, the fracture mechanism of hybrid composite material is extremely complicated because of the bonding structure of metals and FRP. In this study, Al 7075 sheets and carbon epoxy preprags were used to fabricate the hybrid composite. Recently, nondestructive technique has been used to evaluate the fracture mechanism of these composite materials. AE technique was used to clarify the microscopic damage behavior and failure mechanism of A17075/CFRP hybrid composite. It was found that AE paralneters such as AE event, energy and amplitude were effective to evaluate the failure process of Al 7075/CFRP composite. In addition, the relationship between the AE signal and the characteristics of fracture surface using optical microscope was discussed.