• Proceedings of the Korean Society of Precision Engineering Conference
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• 1993.04b
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• pp.223-227
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• 1993

최근 생산성 향상을 위해 용접 자동화가 실용 분야, 특히 GMAW 공정에서 활발히 진행되고있다. 그러 나, 현 수준의 용접 자동화는 완전 자동화에는 이르지 못하고 단지 주어진 용접 조건과 용접 경로로 용 접을 실행하는 로보트 시스템의 채용으로 인간의 작업을 대체하는 정도이다. 이와 같은 로보트 시스템 을 이용한 자동화에 있어서는 예기치못한 공정의 변동에 대처하기 위한 공정 중 용접질 모니터링이 더욱 중요해지고 있다. 본 연구에서는 이 목적으로 표면의 다점 온도를 측정하여 이 중 한점의 온도와 이점 이점 부근의 온도 구배로써 용융지 크기 추정 지수를 구성하였다. 이 지수는 온도 변수들과 대응 용융지 크기 간에 다중 회귀 방법을 이용하여 최소 추정 오차가 발생하도록 설정된 수학적 모델이다. 제안된 지 수의 추정 성능을 평가하기 위해 용접 열전도 모델로 부터 얻은 용융지 크기와 표면 온도분포 data를 이용 하여 일련의 시뮬레이션 연구를 실시하였다. 이 과정에서 지수 구성 온도 변수들의 차수가 추정 성능에 미치는 영향과 온도 측정 위치에 따른 추정 성능의 민감도를 추정 오차와 오차 분산을 통해 분석하고, 지수를 사용하였을 때의 추정성능을 한점 온도를 이용하는 경우와 비교 평가하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.735-738
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• 2011

This paper proposed the method to find out the optimal sensing point of temperature in test-bed with the sensor of temperature, such as real residence. We selected optimal locations by checking temperature change which was simulated by the means of CFD (Computational Fluid Dynamics) and the variation of air flow. We installed 30 temperature sensors in real place. After that, we compared the real one with the result of simulation.

• Proceedings of the KIPE Conference
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• 2018.11a
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• pp.187-188
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• 2018

본 논문에서는 영구자석 동기 전동기의 온도 변화를 인공신경망을 통해 예측 및 추정하는 방법을 제시한다. 고정자와 회전자의 온도와 속도, 토크를 입력으로 하여 다음 샘플링 주기까지의 온도 변화를 출력하는 인공 신경망이 제시되었다. 여러 운전점에서 수집된 온도 데이터를 사용하여 훈련된 신경망은 임의의 온도를 시작 온도로 설정하고 출력인 온도 변화를 적분하여 현재의 온도를 추정한다. 제시된 방식은 시뮬레이션을 통해 검증되었고 훈련에 사용되지 않았던 운전경로에 대해 항상 $2^{\circ}C$ 이하의 추정 오차 성능을 보였다.

• Korean Chemical Engineering Research
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• v.47 no.3
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• pp.287-291
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• 2009

The heterogeneous decomposition of ammonia on a quartz surface in an inverted, stagnation-point flow reactor was investigated using a measurement reactor and a numerical model of the reactor. In the experiments, 8 mole% of ammonia in nitrogen was used and the temperature of an electric heater was set in the range $300{\sim}900^{\circ}C$ to heat the quartz surface where the decomposition took place. Gas temperatures and ammonia concentrations in the reactor obtained using in situ Raman spectroscopy were analyzed with the numerical model and it was revealed that, depending on the heater temperature, the temperature of the quartz surface was estimated to be in the range $235{\sim}619^{\circ}C$ and the activation energy of the decomposition on the surface was in the range 10.9~15.8 kcal/mol.

• Journal of the Society of Disaster Information
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• v.19 no.2
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• pp.292-304
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• 2023

Purpose: This study was conducted to obtain experimental data for the establishment of preventive measures against fire, as large and small fire accidents occur at production and storage sites of superabsorbent polymers developed for the convenience of daily life. Method: The sample container was fixed at 0.2m in both length and width, and was shaped into a rectangular cuboid with heights of 3cm, 5cm, 7cm, and 14cm to access an infinite flat plane. The sample container was fixed in the center of a thermostatic bath that was heated to a predetermined temperature according to a preset temperature control program. If the central temperature of the sample rose more than 20℃ above the set temperature, it was determined to have 'ignited', and if it remained similar to the set temperature, it was determined to have 'unignited'. Result: The critical autoignition temperature was calculated to be 212.5℃ for a sample container with a height of 3cm, 202.5℃ for 5cm, 192.5℃ for 7cm, and 177.5℃ for 14cm. The ignition induction time to reach the highest temperature was approximately 42hours for 3cm, 91hours for 5cm, 151hours for 7cm, and 300hours for 14cm. Conclusion:① As the size of the sample container increased, the autoignition temperature decreased and the ignition induction time to reach the highest temperature increased. ② The apparent activation energy was calculated to be 39.30kcal/mol, with a correlation of 99.5%.

• Journal of the Society of Disaster Information
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• v.19 no.2
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• pp.280-291
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• 2023

Purpose: As fire accidents happen at the production and storage sites of superabsorbent polymers for convenience of daily life, an experimental study was conducted to secure basic data to establish practical preventive measures against them. Method: The sample container (20cm width × 20cm length) was made into a rectangular cuboid with the heights of 3cm, 5cm, 7cm, and 14cm, respectively, to allow access to the infinite flat plane. The front and back of the container were covered with a 300-mesh stainless steel mesh for one-dimensional heat transfer. The sample container was placed in the center of the thermostatic bath, which was heated to a predetermined temperature by setting the thermostat program in advance, and it was determined to be 'ignited' when the central temperature of the sample rose by more than 20℃ above the set temperature, and "unignited" when it was maintained at an approximate value of the set temperature. Result: The critical autoignition temperature was calculated to be 217.5℃ when the height of the sample container was 3 cm, 212.5℃ when it was 5 cm, 202.5℃ when it was 7cm, and 187.5℃ when it was 14cm. The ignition induction time to reach the maximum temperature was 34hours for 3cm, 76hours for 5cm, 143hours for 7cm, and 318hours for 14cm. Conclusion: ① As the size of the container increased, the autoignition temperature decreased and the induction time to reach the maximum temperature increased. ② An apparent activation energy was calculated to be 44.92kcal/mol, with a correlation of 96.93%.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1999.04a
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• pp.1-4
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• 1999

본 연구에서는 시설원예용 하우스의 난방방식별 온열환경특성 즉, 온도 분포상의 문제점을 파악하고, 하우스 난방시스템 선정 및 하우스 설계를 위한 기초자료를 제공하기 위하여 동일 부지에 동일한 형상으로 조성된 단동 하우스에 각각 심야전력 전기히터, 경유 보일러에 의한 온풍난방, 무가온 상태로 설정하여 하우스내 온열환경에 관한 분포특성을 검토하였다. (중략)

• Journal of the Korean Society of Food Science and Nutrition
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• v.18 no.1
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• pp.29-33
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• 1989

As one of the application of microcomputer for data acquisition and temperature control of food drying process, these studies designed and built 'the interface system, measuring sensors of weight and temperature, temperature control system'. The basic and assembly language was used to operating these system. These system measured successfully the variables such as weight and temperature during food drying, and controlled Automatically the drying temperature.

• Proceedings of the Korean Nuclear Society Conference
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• 2003.10a
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• pp.197-197
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• 2003

• Food Science and Preservation
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• v.19 no.5
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• pp.633-638
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• 2012

The aim of this study was to investigate the growth of aerobic bacteria in fresh-cut salad during short-term temperature abuse ($4{\sim}30^{\circ}C$temperature for 1, 2, and 3 h) for 72 h and to develop predictive models for the growth of total viable cells (TVC) based on Predictive food microbiology (PFM). The tool that was used, Pathogen Modeling program (PMP 7.0), predicts the growth of Aeromonas hydrophila (broth Culture, aerobic) at pH 5.6, NaCl 2.5%, and sodium nitrite 150 ppm for 72 h. Linear models through linear regression analysis; DMFit program were created based on the results obtained at 5, 10, 20, and $30^{\circ}C$ for 72 h ($r^2$ >0.9). Secondary models for the growth rate and lag time, as a function of storage temperature, were developed using the polynomial model. The initial contamination level of fresh-cut salad was 5.6 log CFU/mL of TVC during 72 h storage, and the growth rate of TVC was shown to be 0.020~1.083 CFU/mL/h ($r^2$ >0.9). Also, the growth tendency of TVC was similar to that of PMP (grow rate: 0.017~0.235 CFU/mL/h; $r^2=0.994{\sim}1.000$). The predicted shelf life with PMP was 24.1~626.5 h, and the estimated shelf life of the fresh-cut salads with short-term temperature abuse was 15.6~31.1 h. The predicted shelf life was more than two times the observed one. This result indicates a 'fail safe' model. It can be taken to a ludicrous extreme by adopting a model that always predicts that a pathogenic microorganism will grow even under conditions so strict as to be actually impossible.