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최승환,전충환,장영준 한국자동차공학회 2004 International journal of automotive technology Vol.5 No.3
A cylindrical constant-volume combustion chamber was used to investigate the flow characteristics at the spark electrode gap and the combustion characteristics of an inhomogeneous charge methane-air mixture under several parameters such as stratified pattern, initial charge pressure, ignition time and the excess air ratio of the initial charge mixture. Flow characteristics including mean velocity and turbulence intensity were analyzed by a hot-wire anemometer. The combustion pressure development, measured by a piezo-electric pressure transducer, was used to investigate the effect of initial charge pressure, excess air ratio and ignition times on combustion pressure and combustion duration. It was found that the mean velocity and turbulence intensity had the maximum value around 200.300 ms and then decreased gradually to near-zero value at 3000 ms. For the stratified patterns, the combustion rate under the rich injection (RI) condition was the fastest. Under the initial charge conditions, the second mixture was accompanied by an increase in the combustion rate, and that the higher the mass which is added in the second stage injection, the faster the combustion rate. A cylindrical constant-volume combustion chamber was used to investigate the flow characteristics at the spark electrode gap and the combustion characteristics of an inhomogeneous charge methane-air mixture under several parameters such as stratified pattern, initial charge pressure, ignition time and the excess air ratio of the initial charge mixture. Flow characteristics including mean velocity and turbulence intensity were analyzed by a hot-wire anemometer. The combustion pressure development, measured by a piezo-electric pressure transducer, was used to investigate the effect of initial charge pressure, excess air ratio and ignition times on combustion pressure and combustion duration. It was found that the mean velocity and turbulence intensity had the maximum value around 200.300 ms and then decreased gradually to near-zero value at 3000 ms. For the stratified patterns, the combustion rate under the rich injection (RI) condition was the fastest. Under the initial charge conditions, the second mixture was accompanied by an increase in the combustion rate, and that the higher the mass which is added in the second stage injection, the faster the combustion rate.
인공신경망 기반 협동로봇용 통합구동모듈의 고장진단 방법 기초 연구
최승환,박준규,조보람,이수웅 제어로봇시스템학회 2021 제어로봇시스템학회 국내학술대회 논문집 Vol.2021 No.6
Various collaborative robots are used to increase the productivity and efficiency of workers in today’s manufacturing industry. However, collisions with workers are frequently occurring due to fault or incorrect operation of the collaborative robot. Therefore, this paper proposes a method for diagnosing the fault of the robot by analyzing the vibration sensor data installed in the integrated drive module of collaborative robot using artificial neural network. The experiment was applied to the proposed fault diagnosis method after acquiring about 3.6 million vibration data from durability test of the integrated drive module. As a result of the experiment, the diagnostic error rates of 14.3% and 3.1% were confirmed in the two fault sections, respectively.