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촉매연소형 이산화탄소 발생기의 시동기간 단축에 관한 연구
정필수,최병철,박동욱,권현조,김우빈,진창민 한국연소학회 2023 한국연소학회지 Vol.28 No.1
The authors have developed a catalytic combustor for a CO2 generator that does not exhaust harmful emissions even though it’s a low-temperature(<990℃) combustion. However, the catalytic combustor has some problems of combustion instability depending on the surrounding environments (temperature, humidity) and/or taking a long time to ignite. In this study, the improvement of ignition delay and combustion instability of the catalytic combustor were studied. Ignition did not occur in a high humidity environment with a relative humidity of 80% or more, and a longer preheating time was required in 15℃ environmental condition. To solve the problem, we devised a method by adding a small amount of ethanol during the preheating period at specified catalyst temperature conditions. It was possible to stably ignite the catalyst even in a high humidity environment. The ignition time was able to shorten the preheating time by up to 55% regardless of the influence of ambient temperature and humidity. The optimum ethanol supply condition is to inject a total amount of 20 cc at a injection rate of about 0.8 cc/sec when the range of catalyst temperature is 200 to 220℃.
에어 매트리스와 산소 포화도 측정기를 이용한 수면호흡장애 자동 검출 시스템 개발
정필수,박종욱,주은연,이경중,Jeong, Pil-Soo,Park, Jong-Uk,Joo, Eun-Youn,Lee, Kyoung-Joung 대한의용생체공학회 2017 의공학회지 Vol.38 No.4
The present study proposes a system that can detect sleep-disordered breathing automatically using an air mattress and oxygen saturation. A thin air mattress was fabricated to reduce discomfort during sleep, and respiration signals were acquired. The system was configured to be synchronized with a polysomnography to receive signals simultaneously with other bio-signals. The present study has been conducted with nine adult male and female patients with sleep-disordered breathing, and sleep-disordered breathing events have been detected by applying the signals acquired from the subjects to the rule-based detection algorithm. The sensitivity and positive predictive values were found to evaluate the performance of the system, which are 91.4% and 89.7% for all events, respectively. The comparison of apnea hypopnea index(AHI) between the polysomnography and the proposed method showed squared R-value of 0.9. This study presents the possibility of detecting sleep-disordered breathing at hospitals or homes using the proposed system.