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김홍성 한국기계가공학회 2005 한국기계가공학회지 Vol.4 No.1
In this study, A controlled auto-ignition (CAI) single cylinder gasoline engine is considered, focusing on the extension of operating conditions. The fuel is injected indirectly into electrically heated inlet air flow. Investigated are the engine performance characteristics under the wide range of operating conditions such as 32 to 63 in the air-fuel ratio, 1000 to 1800 rpm in the engine speed, and 150 to 180 in the inlet-air temperature. A controlled auto-ignition gasoline engine which has the super ultra lean-burn with self-ignition of gasoline fuel can be achieved by heating inlet air.
소형 압축기를 이용한 관성관형 맥동관 냉동기의 성능 특성에 대한 실험적 연구
김홍성,정상권 대한설비공학회 2005 설비공학 논문집 Vol.17 No.6
This paper describes an experimental study on the inertance pulse tube refrigerator using a small compressor. The purpose of this experimental study is to identify the performance of the inertance pulse tube refrigerator for various operating conditions and to obtain the optimum configuration. The dead volume effect is verified by two experimental apparatuses with different dead volumes between the compressor and the aftercooler. The refrigerator of the smaller dead volume shows better performance. The influence of operating frequency and charging pressure on the performance of the refrigerator is experimentally investigated. Reducing the regenerator mesh size improves the performance of the refrigerator. Finally, the inertance pulse tube refrigerator has maximum cooling capacity at the specific combination of the pulse tube length and the inertance tube length. The loss analysis is used to analyze and predict the optimum condition of the pulse tube refrigerator.
내부 온도를 이용한 시스템 직류 접속반 진단용 인공 신경망 기반 예측기 설계
김홍성,김기복,이승요 대한전기학회 2020 전기학회논문지 Vol.69 No.6
A diagnosis model for DC junction block O&M(Operation and Maintenance) of PV system is proposed in this paper. The proposed diagnostic model is based on a bath tube failure rate function and requires a well-functioning predictor to generate a reference signal which evaluates the operating characteristics of the diagnostic junction block. Among the various ML(Machine Learning) techniques, ANN(Artificial Neural Network) is used as a technique for the predictor with design factors such as input, output variables and learning rates, and sufficient data are required to train the diagnostic model by ANN. However, it is difficult to obtain operational data related to the DC junction block that should be used to train and evaluate the proposed diagnostic model. In order to solve this problem, environmental data on outdoor temperatures and solar radiation are downloaded from the domestic meteorological data center in Korea, and the data needed to evaluate the proposed predictor are generated by appropriate assumptions using various references and numerical simulations. The accuracy and generality of the proposed predictor are evaluated by the value and the RMSE(Root Mean Square Error).
김홍성,조현혹 한국섬유공학회 1991 한국섬유공학회지 Vol.28 No.2
Structual change of untreated and salt-treated drawn polyacrylonitrile(PAN) fiber has been studied with IR spectroscopy, wide angle X-ray diffraction, dynamic mechanical measurements, thermo-mechanical analysis, and tensile propert irs measurements. The results are interpreted in terms of the degree of bound nitrile groups based on two-phase structure, ordered and disordered region. The salt treatment resulted that the crystalline size and the degree of lateral ordered crystallinity were increased. The bound nitrile groups in ordered and disordered region of salttreated PAN fiber were lower than these of untreated fiber.
액체암모니아에 의한 면 셀룰로오스 I과 II의 결정구조의 변화
김홍성,배소영 한국섬유공학회 1995 한국섬유공학회지 Vol.32 No.2
The crystal transformation, degree of crystallinity, and crystallite size of cotton cellulose, treated with liquid ammonia and dried by evaporation, wert investigated. The quantification of crystalline content was carried out by resolution of X-ray scattering intensity distribution on the assumption that all digracted intensities take the form of symmetrical Gauss distribution centering at its Bragg angle. The treatment of liquid ammonia transformed part of cellulose I and II crystals into III crystals, thereby making it a polymorphic structure. The m crystals transformed from I and II crystals, IIIa, and IIIb, had a very close lattice type mutually, but showed a considerable difference on the transformational extent, crystalline disruption behavior, and reversional ability to original crustal.