• Composites Research
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• 제14권4호
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• pp.15-26
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• 2001

Implant용 bioabsorbable 복합재료의 계면물성과 미세파괴분해 메카니즘을 micromechanical 시험법과 음향방출을 이용하여 평가하였다. Poly(ester-amide)와 bioactive 유리섬유의 인장 강도와 탄성률 그리고 연신율은 분해시간에 따라 점차적으로 감소하는 경향을 보인 반면, chitosan 섬유는 분해시간 내에서 거의 변화가 없었다. Dual matrix composite 시험법을 이용하여 측정된 bioactive 유리섬유와 poly(L-lactide) 사이의 계면전단강도는 chitosan이나 poly(ester-amide) 섬유의 경우 보다 큰 값을 보였다. 그리고 계면전단강도 감소는 bioactive 유리섬유 강화 poly(L-lactide) 복합재료에서 가장 빨랐으며, chitosan 섬유의 경우가 상대적으로 가장 느린 경향을 보였다. Poly(ester-amide) 섬유의 분해시간에 따른 음향방출 진폭과 에너지는 점차로 감소하였고, 음향방출 진폭의 분포 역시 점차 좁아짐을 보여주었다. Bioactive 유리섬유에서 인장파단에 의한 음향방출 진폭과 에너지는 압축파단의 경우 보다 크게 나타났으며, 또한, 인장 및 압축시험 모두에서 초기상태가 분해 후 보다 더 큰 값을 보였다. 본 연구에서 평가한 계면물성과 미세파괴분해 메카니즘은 생흡수성 복합재료의 성능을 조절할 수 있는 중요한 요소가 될 것이다.

• 비파괴검사학회지
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• 제27권1호
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• pp.1-7
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• 2007

섬유강화 복합재료가 항공기, 우주 구조물, 로봇 팔 등에 널리 사용됨에 따라 복합재료의 신뢰도와 안전성을 향상시키기 위하여 이에 대한 비파괴검사법은 매우 중요한 연구분야로 대두되고 있다. AE법은 복합재의 균열, 섬유 또는 수지재의 파손, 층간분리 등의 발생 및 성장과정에서 발생되는 탄성파로 인한 스트레인 에너지를 검출하는 방법이다. 본 논문에서는 $8{\times}8$ 매트릭스형 피에조 센서를 사용하여 인장시험 하에서 발생되는 AE신호를 측정하고 분석하였다. 이를 위하여 AE신호의 전달거리를 제어할 수 있는 전용회로를 설계하고 제작하였다. 또한 64채널의 AE신호를 획득하기 위하여 발광다이오드를 사용한 광학 저장장치를 구성하였다. 실험결과, $8{\times}8$ 매트릭스형 피에조 센서를 이용하여 복합재료에서 발생되는 AE신호의 발생지점과 전파경로를 효과적으로 검출할 수 있었다.

• Geomechanics and Engineering
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• 제24권1호
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• pp.81-89
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• 2021

Uniaxial compression tests were conducted on sandstone-CGFB composite samples with different interface angles, and their strength, acoustic emission (AE), and failure characteristics were investigated. Three macro-failure patterns were identified: the splitting failure accompanied by local spalling failure in CGFB (Type-I), the mixed failure with small sliding failure along with the interface and Type-I failure (Type-II), and the sliding failure along with the interface (Type-III). With an increase of interface angle β measured horizontally, the macro-failure pattern changed from Type-I to Type-II, and then to Type-III, and the uniaxial compressive strength and elastic modulus generally decreased. Due to the small sliding failure along with the interface in the composite sample with β of 45°, AE events underwent fluctuations in peak values at the later post-peak failure stage. The composite samples with β of 60° occurred Type-III failure before the completion of initial compaction stage, and the post-peak stress-time curve initially exhibited a slow decrease, followed by a steep linear drop with peaks in AE events.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.307-311
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• 1993

Research concerning gears included in rotating machines has been reported using the acoustic emission (AE) method, however, almost no research has been conducted using the AE method in regard to running gears in a bending fatigue processor spur gear teeth. Therefore, in this report, a power circulating-type gear testing machine was used and AE signals and crack length were measured in the bending fatigue process of case-hardened spur gear. Furthermore, the envelope of the AE signal was detected and various analysis were carried out in this data. In the course of the experiments, the following results were observed : the AE signal envelope consists mainly of contact frequency component and twice as many as this;two peaks of AE appear in each tooth contact by the tip corner contact ; as a result of the severe tip corner contact ; as a result of the severe tip corner contact with the sudden increase of crack length, AE signal becomes large.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1993년도 추계학술대회 논문집
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• pp.70-75
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• 1993

Chatter vibration is an unwanted phenomenon in metal cutting and it always affects surface finish, tool life machine life and the productivity of machining process. The In-process monitoring & control of chatter vibration is necessarily required to automation system. In this study, we constructed the multi-sensing system using Tool Dynamometer,Accelerometer and AE(Acoustic Emission) sensor for the credible detection of chatter vibration. And a new approach using a neural network to process the features of multi-sensor for the recognition of chatter vibration in turning operation is proposed. With the back propagation training process, the neural network memorize and classify the feature difference of multi-sensor signals.

• 한국복합재료학회:학술대회논문집
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• 한국복합재료학회 2004년도 추계학술발표대회 논문집
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• pp.246-249
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• 2004

A smart material is used as spectacle frames and brassiere frames, and partly in medical supplies because of its shape memory effect. The smart composite can be used on the wing of an airplane instead of the existing aluminium to control crack propagation. In this study, the smart composite was fabricated by a hot press method. TiNi alloy as reinforcement and A16061 as matrix were used, respectively. The mechanical properties of the smart composite under thermal shock cycles were evaluated. In addition, Acoustic Emission techniques were also used to clarify the damage behavior of the smart composite under thermal shock cycles nondestructive.

• 한국정밀공학회지
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• 제13권4호
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• pp.136-142
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• 1996

Automatic monitoring of cutting process is one of the most important technology in machining. AE sensing technology has been applied to monitoring process and proved to be effective in detecting tool abnor- malities such as tool wear and fracture. In this experimental study. AE signals were detected from the tool holder for continuous and interrupted cutting, which obtained from changing workpice material configuration, under control of constant cutting speed from CNC lathe. From statistical and frequency analysis, the AE signals were analyzed to obtaining the characteristics of continuous and interrupted cutting conditions and tool failure. The Kurtosis values decreased but RMS voltages increased as the cutting speed increased, in both continuous and interrupted cutting. RMS voltage is suddenly increased but Kurtosis value is suddenly decreased when tool failure condition. Power spectrum density of AE signals when tool failure reaches extreme value around 0.065 cycles/ .mu. m.

• 한국정밀공학회지
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• 제14권11호
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• pp.93-101
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• 1997

Ever since the nonlinearity of machine tool dynamics was established, researchers attempted to make use of this fact to devise better monitoring, diagnostics and control system, which were hitherto based on linear models. Theory of chaos which explains many nonlinear phenomena comes handy for furthering the analysis using nonlinear model. In this study, measuring system will be constructed using multi-sensor (Tool Dynamometer, Acoustic Emission) in end milling process. Then, it will be verified that cutting force is low-dimensional chaos by calculating Lyapunov exponents. Fractal dimension, embedding dimension. And it will be investigated that the relation between characteristic parameter calculated from sensor signal and tool wear.

• 대한후두음성언어의학회지
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• 제6권1호
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• pp.46-55
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• 1995

Authors devised an objective test for nasal resonatory disorders using a vibratory sensor(Piezoelectric receiver) which is relatively cheap. The vibratory sensor was covered with duralumin to eliminate contamination of acoustic sound except a small hole which is attached on ala nasi during the test. Electrical signals front the vibratory sensor and the microphone while the subject is phonating vowel/a/ and nasal consonant /ng/ and phonating 8 syllable sentence /papa/ passage and /mama/ passage were digitized with n 12 bit A/D converter. For the evaluation of the hypernasality, the ratio of /ng/ to /a/ and /mama/ passage to /papa/ passage were used instead of individual values to reduce the observational error. For the evaluation of the hyponasality, the cul-de-sac resonation was induced by obstructing the nasal aperture of the ipsilateral side with the finger. In the normal control group, the ratio of /ng/ to /a/ and /mama/ passage to /papa/ passage was larger than 8. In the hypernasality with nasal emission group. the ratio was decreased markedly(p＜0.01). When the nasal aperture was obstructed with the finger, the vibratory signals of /a/ and /ng/ were increased markedly in the control group and hypernasality group(p＜0.01). However, in the hyponasality group(severe), the increment was minimal. So this system can be used to detect the nasal resonatory disorders objectively and differentiate the hypernasality front hyponasality easily.

• 한국대기환경학회지
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• 제30권4호
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• pp.327-338
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• 2014

The objective of this study is to enhance the effectiveness of Korean Inspection and Maintenance (I/M) program. Three main tasks are: to measure pollutant emissions of in-use light-duty diesel vehicles (LDVs); to evaluate the validity of existing smoke control scheme for low-smoke-emitting vehicles, which have diesel particulate filters, DPF, to meet stringent Euro-5 emission limits; and to assess the necessity and the benefit of $NO_x$ inspection, which is not involved in current I/M program. We measured second-by-second smoke, particulate and gaseous emissions of 27 LDVs using opacity smoke meter, photo-acoustic soot sensor, and portable emissions measurement system, respectively, under the Korean I/M test driving cycle, KD-147. We find that the DPF plays a key role in controlling soot, which can be considered as black carbon contained in particulate matter. Thus, from an I/M perspective, we believe smoke inspection strategies for Euro-5 diesel vehicles should be more focused on the capability of detecting DPF malfunctions or failures, in order to keep DPF properly functional. Fleet averaged distance-specific $NO_x$ emissions are consistently higher than corresponding emission limits, and the values are similar among pre-Euro-3, Euro-3, and Euro-4 vehicle fleets. These findings indicate that the $NO_x$ inspection should be incorporated into current I/M program in order to manage urban $NO_x$ emissions. This research allows the Korean I/M program keep pace with developments in vehicle technologies, as well as the increased emphasis on $NO_x$ with respect to air quality and human health.