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Minchul Lee(이민철),Yeongseon Kim(김영선),Hyunjun Ryu(류현준),Sung-Hyun Baeck(백성현),Sang Eun Shim(심상은) 한국고분자학회 2017 폴리머 Vol.41 No.4
실란 커플링제 도입에 따라 silica가 충전된 폴리프로필렌의 기계적, 열적 물성에 미치는 영향을 살펴보았다. Epoxy, amino와 methacryloxy 작용기를 가지고 있는 실란 커플링제를 사용하였다. 종류, 농도와 실란 커플링제의 처리방법에 따라 silica/PP 복합체의 인장강도, 굴곡강도, 충격강도 및 열적안정성을 분석하였다. 용융혼합 및 압축성형에 의해 제조된 복합재료 샘플의 기계적 특성을 조사하기 위해 만능재료시험기와 충격시험기를 사용하였고, 열적특성을 조사하기 위해, TGA와 DSC를 사용하였다. 건식방법으로 amino 작용기를 가지고 있는 실란 커플링제를 5 wt% 혼합한 silica/PP 복합체가 기계적 물성과 열적 물성이 가장 우수한 것으로 확인되었다. The effect of silane coupling agent on the mechanical and thermal properties of silica/polypropylene composite was studied. Epoxy, amino, and methacryloxy silanes were introduced as coupling agents. Silica/PP composites were investigated in terms of flexural, tensile, impact strength, and thermal stability in accordance with type, concentration, and processing methods of silane coupling agent. Mechanical properties of the composites prepared by melt-mixing and compression molding were tested by UTM and impact tester, and thermal properties were analyzed by TGA and DSC. As a result, it was confirmed that the silica/PP composite mixed with 5 wt% amino-functionalized silane prepared by dry method showed the highest mechanical and thermal properties.
PSR 모델을 이용한 메탄-공기 희박 예혼합 연소의 NOx 생성 경로 연구
이보람(Borahm Lee),김현(Hyun Kim),박정규(Jungkyu Park),이민철(Minchul Lee),박원식(Wonshik Park) 한국자동차공학회 2009 한국 자동차공학회논문집 Vol.17 No.5
In this study the predictions of NOx in methane-air lean premixed combustion in PSR were carried out with GRI 3.0 methane-air combustion mechanism and Zeldovich, nitrous oxide, prompt, and NNH NO formation mechanism by using CHEMKIN code. The results are compared to the JSR experimental data of Rutar for the validation of the model. This study concerns about the importance of the chemical pathways. The chemical pathway most likely to form the NO in methane-air lean-premixed combustion was investigated. The results obtained with the 4 different NO mechanisms for residence time(0.5-1.6ms) and pressure(3, 4.7, 6.5 atm) are compared and discussed.
화학 반응기 네트워크 모델을 이용한 희박 예혼합 가스터빈 연소기에서의 예측 NOx
이보람(Borahm Lee),이도용(Doyong Lee),박정규(Jungkyu Park),이민철(Minchul Lee) 대한기계학회 2009 대한기계학회 춘추학술대회 Vol.2009 No.11
Development of prediction methods for NOx emission is very important for the modern combustion system design. This study shows the development and application of chemical reactor network(CRN) for the methane-air lean-premixed combustion. The CRN development is based on results from CFD analysis for a test gas turbine combustor. The predictions of NOx in methane-air lean premixed combustion are carried out by using CHEMKIN code with GRI 3.0 methane-air combustion mechanism. The calculated results are compared with experimental data for a validation of the CRN. The effect of various loads and atmosphere temperature on NOx emissions are investigated.
최종고(Choi, Jongko),이민철(Lee, Minchul),김이제(Kim, Yije),김인채(Kim, Inchie),고진호(Ko, Jin ho),진상윤(Chin, Sangyoon) 대한건축학회 2018 대한건축학회 학술발표대회 논문집 Vol.38 No.1
In this paper, we measured the processing time for fingerprint recognition and iris recognition technology among biometric devices. A test plan was established, tests were conducted and recorded, time was measured, and average processing time was derived. And we used the False Rejection Rate (FRR), which indicates the possibility of unauthorized users being improperly accepted, as the error rate and suggested the maximum processing time of the maximum worker at the peak time. Based on total processing time, we calculated the number of machines to process all workers within 30 minutes. Finally, we compared the processing time of RFID and QR Code with the processing time of fingerprint and iris recognition equipment and examined the economical efficiency.
인공신경망을 이용한 모델 가스터빈 연소기에서 H₂/CO/CH₄ 합성가스의 NOx 배출량 예측
주성필(Seongpil Joo),이민철(Minchul Lee),윤지수(Jisu Yoon),김정진(Jeongjin Kim),윤영빈(Youngbin Yoon) 한국연소학회 2013 KOSCOSYMPOSIUM논문집 Vol.2013 No.12
This paper describes on the flame structure using OH<SUP>*</SUP>, CH<SUP>*</SUP>, C₂<SUP>*</SUP>chemiluminescence images and EINOx emission for H₂/CO/CH₄ syngas in the partially premixed model gas turbine combustor. The flame length and flame temperature for various fuel compositions cause the tendency of EINOx. EINOx increases with decreasing flame length and increasing flame temperature, respectively. Artificial neural network (ANN) use for predicting EINOx emissions with flame temperature, flame length and air flow rate. From the results, artificial neural network will be utilized as monitoring the gas turbine combustor operation state.
복합화력발전소 내 수소연료 적용 시 누출 사고에 대한 피해영향범위 분석: 지역별 환경 특성 영향에 기반하여
박희경(HEEKYUNG PARK),이민철(MINCHUL LEE) 한국수소및신에너지학회 2023 한국수소 및 신에너지학회논문집 Vol.34 No.6
Consequence analysis using an ALOHA program is conducted to calculate the accidental impact ranges in the cases of hydrogen leakage, explosion, and jet fire in a hydrogen fueled combined cycle power plant. To evaluate the effect of weather conditions and topographic features on the damage range, ALOHA is executed for the power plants located in the inland and coastal regions. The damage range of hydrogen leaked in coastal areas is wider than that of inland areas in all risk factors. The obtained results are expected to be used when designing safety system and establishing safety plans.