• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.191-191
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• 2004

베어링은 회전기계에서 가장 일반적인 구성요소로 베어링의 초기 결함 또는 퇴화현상이 사전에 발견되지 않으면 회전기계의 고장 또는 파손으로 엄청난 손실이 초래될 수 있다. 베어링의 초기 결함을 검출하기 위한 가장 보편적인 방법으로 베어링 진동신호의 특징적인 패턴을 검출하는 것이다.(중략)

• Journal of the KSME
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• v.26 no.3
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• pp.200-203
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• 1986

본 해설에서는 이론적 해석의 접근방법을 통하여 열접촉 저항의 기본적인 구조를 이해하는데 목적을 두었으며, 여러형태의 이론적 모델중에서 비교적 단순한 Cetinkale & Fishenden 의 연구 결과를 이용하여 이 모델에 포함된 각 인자들을 실제표면에 대해 어떻게 적용하는가를 검토하 였다.

• Korean journal of food and cookery science
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• v.4 no.2
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• pp.51-56
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• 1988

The sensory and instrumental characteristics of warm and cool cooked rices with pressure and electric cookers were examined. The types of rice varieties tested were Choucheong (traditional rice variety) Samgang and Seogwang (high-yielding rice varietis) The result of sensor evaluation revealed more significant differences in most of appearance, texture characteristics than flavour. The difference of sensory characteristics according to the types of cookers and the warm or cool cooked rices was greatest in Seogwang among three varieties. The instrumental measurement of cooked rices using instron showed that the difference between types of varieties and cookers was more clearly in cool cooked rices than warm ones. Especially hardness in instrumental characteristics revealed highly signficant difference. With regard to the correlation between instrumental and sensory characteristics, hardness had a significantly high correlation with texture while others had low ones.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.280-288
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• 2016

This study proposes improved welding tools for magnesium alloys. Two types of tools were used for friction stir welding (FSW). The effect of the welding tools on the FSW joints was investigated with a fixed welding speed of 200mm/min and various rotation speeds of 400 to 800 rpm. After FSW, the joints were cross-sectioned perpendicular to the welding direction to investigate the defects. A tensile test and Vickers hardness test were conducted to identity the mechanical properties of the joints. Defects were observed when the rotation speed was 400 rpm, regardless of the welding tool, and the amount of defects tended to decrease with increases in rotational speed. Defect-free welds were obtained when the rotation speed was 800 rpm. The best weld quality was acquired using the C type welding tool. The rotation speed of 800 rpm and welding speed of 200 mm/min produced the best joining properties. The ultimate tensile strength, yield strength, and elongation of the welded region were 90.0%, 69.1%, and 83.2% those of the base metal, respectively.

• Proceedings of the Korean Vacuum Society Conference
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• 2016.02a
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• pp.300.1-300.1
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• 2016

최근 반도체 회로의 미세화로 인해 디자인 공정이 20 nm 이하로 내려갔다. 그 결과 회로간의 간격이 줄었으며 많은 문제가 발생 한다. 첫 번째 문제는 미세하게 여러 박막 층들을 쌓기 때문에 박막 층이 그전 50 nm 공정에 비해선 쉽게 무너질 수 있다. 따라서 하나의 박막 층은 다른 여러 박막들의 하중을 잘 견뎌야 할 것이다. 결과적으로 회로의 미세화에 따라 박막의 기계적 특성이 좋아야 될 것이다. 또 다른 문제는 너무 좁은 회로의 간격으로 인해 다른 회로에 영향을 미치는 크로스토크라는 전기적 문제이다. 크로스토크가 크다는 것은 회로간의 누설 전류가 크다는 것을 의미하며 그만큼 신호 전달 능력이 감소 한다는 것을 뜻한다. 크로스토크의 문제점을 해결하기 위해 회로 사이에 절연 막을 만들어 누설전류를 막아야 한다. 이러한 문제를 바탕으로 본 연구는 Zirconium nitride (ZrN) 박막이 이러한 문제점을 해결 할 수 있는 지연구해 보았다. 박막 제작 시 변화 요인은 질소유량 과 열처리 온도 이며 질소유량 변화는 2 sccm 과 8 sccm 두 경우로 하였다. 또한 열처리는 As-deposited state, $600^{\circ}C$ 와 $800^{\circ}C$로 열처리 하였다. 박막 증착은 RF magnetron sputtering을 이용하였으며 열처리는 질소 분위기에서 furnace를 이용하였다. 기계적 특성분석 결과 질소유량이 2 sccm 인 박막의 hardness는 as-deposited stste에서 18.8 GPa이고 $600^{\circ}C$에선 18.4 GPa로 거의 비슷하고 $800^{\circ}C$ 열처리한 경우는 15.4 GPa 으로 hardness가 감소하는 것을 알 수 있었다. 질소 유량을 8 sccm 흘려주며 증착한 박막의 경우는 as-deposited state, $600^{\circ}C$, $800^{\circ}C$에서의 hardness가 각각 17.5, 16.4, 21.1 GPa 으로 감소하다가 증가하는 경향을 보였다. 또한 zrN 박막의 전기적 특성인 누설 전류 밀도도 측정하였다. 결과적으로 본 연구는 ZrN 박막의 질소 유량 변화와 열처리에 따른 기계적, 전기적 특성변화를 확인 하였다.

• Korean Journal of Food Science and Technology
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• v.43 no.3
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• pp.303-314
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• 2011

The purpose of this study was to determine the optimal mixing conditions for two different amounts of added mulberry powder and fresh cream to prepare functional chocolate with added mulberry powder. The experiment was designed according to the central composite response surface design, which showed 10 experimental points, and included two replicates for mulberry powder and fresh cream. The physiochemical, mechanical, and sensory properties of the test were measured, and these values were applied to the mathematical models. The results of the physiochemical and mechanical analyses of each sample, including pH, moisture content, total phenolic content, DPPH free radical scavenging activity, color L, color b, hardness, gumminess, and cohesiveness showed significant differences. The sensory characteristics of the samples tested were significantly different in flavor, texture, sourness, bitterness, and overall acceptability. The optimum formulation calculated by numerical and graphical methods was 25.76 g mulberry powder and 72.21 g fresh cream.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.2
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• pp.36-43
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• 2004

In this paper, the frequency spectra from respective mechanical noise signals detected using ultrasonic wave and AE(Acoustic Emission) sensor were analysed to under spark generation between brush and commutator side with arbitrarily 15$^{\circ}$ rotation for brush from the DC motor in operation. Also, the frequency spectra from respective magnetizing noise signals detected using ultrasonic wave and AE sensor were analysed to under neutral point for brush from the DC motor in normal operation. And the analyses and comparison between the mechanical noise signal and magnetizing noise signal of ultrasonic wave with brush location change from the DC motor in operation. As the experimental results, tile mechanical noise signal of ultrasonic wave under spark generation between brush and commutator side with brush location change from the DC motor in operation were increased about 2.5∼3.0 times than magnetizing noise signal of ultrasonic wave form the DC motor in normal operation. Also, the main frequency band for mechanical noise signals of AE under spark generation between brush and commutator side with brush location change from the DC motor in operation, appeared about 1.3[MHz]∼l.5[MHz] by the fast fourier transform.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.3
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• pp.121-126
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• 2020

Sound-based machine fault diagnosis is the automatic detection of abnormal sound in the acoustic emission signals of the machines. Conventional methods of using mathematical models were difficult to diagnose machine failure due to the complexity of the industry machinery system and the existence of nonlinear factors such as noises. Therefore, we want to solve the problem of machine fault diagnosis as a deep learning-based image classification problem. In the paper, we propose a CNN-based automatic machine fault diagnosis method using Spectrogram images. The proposed method uses STFT to effectively extract feature vectors from frequencies generated by machine defects, and the feature vectors detected by STFT were converted into spectrogram images and classified by CNN by machine status. The results show that the proposed method can be effectively used not only to detect defects but also to various automatic diagnosis system based on sound.

• Journal of Ocean Engineering and Technology
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• v.24 no.1
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• pp.140-145
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• 2010

This study presents a detection method for mechanically fabricated defects on underwater steel pipes, using ultrasonic guided waves. Three different diameters (60, 90, and 114 mm) of 1000-mm long steel pipes were considered, along with several experimental design factors such as incident angles, incident distances, and the degrees of defects, to investigate how these factors affected the experimental results - the detectability of the mechanical defects. From the experimental results, we determined that the amplitude and arrival time of the first received wave signals gave a promising clue for distinguishing the existence of the defects and their severities. Between the amplitude and arrival time, the arrival time gave a more promising indication since it was affected by the experimental factors in a constant manner. Therefore, it was shown that the use of ultrasonic guided waves for underwater pipe inspection is feasible.

• The Transactions of the Korean Institute of Power Electronics
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• v.10 no.5
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• pp.468-480
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• 2005

The overall performance of AC servo system is greatly affected the uncertainties of unpredictable mechanical parameter variations and external load disturbances. To overcome this problem, it is necessary to know different parameters and load disturbances subjected to position/speed control. This paper proposes an on-line identification method of mechanical parameters/load disturbances for AC servo system using support vector regression(SVR). The experimental results demonstrate that the proposed SVR algorithm is appropriate for control of unknown servo systems even with time-varying/nonlinear parameters.