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유한요소법을 이용한 고압유압펌프용 오목형 피스톤 조립체의 소켓 형상 설계
엄재근(J. G. Eom),이민철(M. C. Lee),최인수(I. S. Choi),전만수(M. S. Joun),조유종(Y. J. Cho) 한국정밀공학회 2006 한국정밀공학회 학술발표대회 논문집 Vol.2006 No.5월
A finite-element based approach to socket shape design of a concave piston assembly for a high pressure hydraulic pump of an excavator is presented in this paper. The approach is applied to developing a concave piston assembly which fulfills its strength requirement and it is verified that the predictions are in good agreement with the experiments.
범용 선반을 이용한 볼과 소켓의 정밀 체결을 위한 회전성형
전병윤(B. Y. Jun),조현섭(H. S. Cho),서관수(K. S. Suh),조유종(Y. J. Cho),정용욱(Y. U. Jeung),전만수(M. S. Joun) 한국생산제조학회 2006 한국공작기계학회 춘계학술대회논문집 Vol.2006 No.-
In this paper, a general purpose lathe is equipped for joining the socket with the ball of a concave piston assembly with its geometrical tolerance requirements satisfied. The equipment is composed of a lathe, a double roll system and a roll pressing unit driven by the hydraulic system. The workpiece rotates by the spindle chuck of the lathe while the double roll system approaches perpendicularly to the central line of the workpiece. The equipment is successfully applied to precision joining of the ball and the socket for the concave piston assembly of a high pressure hydraulic pump.
은닉 마르코프 모델을 이용한 속도 변화가 있는 회전 기계의 상태 진단 기법
장미(Jang, M.),이종민(Lee, J.M.),황요하(Hwang, Y.),조유종(Cho, Y.J.),송재복(Song, J.B.) 한국소음진동공학회 2012 한국소음진동공학회 논문집 Vol.22 No.5
In industry, various rotating machinery such as pumps, gas turbines, compressors, electric motors, generators are being used as an important facility. Due to the industrial development, they make high performance(high-speed, high-pressure). As a result, we need more intelligent and reliable machine condition diagnosis techniques. Diagnosis technique using hidden Markov-model is proposed for an accurate and predictable condition diagnosis of various rotating machines and also has overcame the speed limitation of time/frequency method by using compensation of the rotational speed of rotor. In addition, existing artificial intelligence method needs defect state data for fault detection. hidden Markov model can overcome this limitation by using normal state data alone to detect fault of rotational machinery. Vibration analysis of step-up gearbox for wind turbine was applied to the study to ensure the robustness of diagnostic performance about compensation of the rotational speed. To assure the performance of normal state alone method, hidden Markov model was applied to experimental torque measuring gearbox in this study.