• Title/Summary/Keyword: Machine oil

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ESTIMATION OF RIDE QUALITY OF A PASSENGER CAR WITH NONLINEAR SUSPENSION

  • Cho, S.J.;Choi, Y.S.
    • International Journal of Automotive Technology
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    • v.8 no.1
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    • pp.103-109
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    • 2007
  • The nonlinear characteristics of a suspension is directly related to the ride quality of a passenger car. In this study, the nonlinear characteristics of a spring and a damper of a passenger car is analyzed by dynamic experiments using the MTS single-axial testing machine. Also, a mathematical nonlinear dynamic model for the suspension is devised to estimate the ride quality using the K factor. And the effect on the variation of the parameters of the suspension is examined. The results showed that the dynamic viscosity of the oil in a damper was the parameter that most influeced the ride quality of a passenger car for the ride quality of a passenger car.

Application of Hidden Markov Model Using AR Coefficients to Machine Diagnosis (AR계수를 이용한 Hidden Markov Model의 기계상태진단 적용)

  • 이종민;황요하;김승종;송창섭
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.13 no.1
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    • pp.48-55
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    • 2003
  • Hidden Markov Model(HMM) has a doubly embedded stochastic process with an underlying stochastic process that can be observed through another set of stochastic processes. This structure of HMM is useful for modeling vector sequence that doesn't look like a stochastic process but has a hidden stochastic process. So, HMM approach has become popular in various areas in last decade. The increasing popularity of HMM is based on two facts : rich mathematical structure and proven accuracy on critical application. In this paper, we applied continuous HMM (CHMM) approach with AR coefficient to detect and predict the chatter of lathe bite and to diagnose the wear of oil Journal bearing using rotor shaft displacement. Our examples show that CHMM approach is very efficient method for machine health monitoring and prediction.

Effect of Electric Current on Friction Characteristics of Machine Driving Elements (기계구동 부재의 마찰특성에 미치는 전류의 영향)

  • Jun, Sung-Jae;Cho, Yon-Sang;Park, Heung-Sik
    • Tribology and Lubricants
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    • v.18 no.5
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    • pp.339-344
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    • 2002
  • Whenever moving surfaces of machine driving elements interact in air and lubricating oil, oxidization film on the surfaces are generated. It is effect to prevent friction and wear on contact area. Since the electronic current progress the oxidization of metal, if the electronic flow be regulated, the thickness of oxidization film can be regulated and friction characteristics can be improved. But the electronic current can deteriorate friction characteristics, so various characteristics must be investigated on transforming of electronic current. Therefor, using the Norton equation in this study, short current were transformed between frictional materials using ball on disk type tester. It was studied on effect of electronic current for friction characteristics.

Abnormal Diagnostics of Vibration System using SVM (SVM기법을 이용한 진동계의 고장진단에 관한 연구)

  • Ko, Kwang-Won;Oh, Yong-Sul;Jung, Qeun-Young;Heo, Hoon
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2003.05a
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    • pp.932-937
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    • 2003
  • When oil pressure of damper is lost or relative stiffness of spring drops in vibration system, it can be fatally dangerous situation. A fault diagnosis method for vibration system using Support Vector Machine(SVM)is suggested in the paper. SVM is used to classify input data or applied to function regression. System status can be classified by judging input data based on optimal separable hyperplane obtained using SVM which learns normal and abnormal status. It is learned from the relationship of system state variables in term of spring, mass and damper. Normal and abnormal status are learned using phase plane as in put space, then the learned SVM is used to construct algorithm to predict the system status quantitatively

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Condition Monitoring of Hydraulic Piston Motor using Morphological Analysis of Wear Particles (마멸입자 형태해석에 의한 유압피스톤용 모터의 상태감시)

  • 문병주;조연상;박흥식;전태옥
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.9 no.6
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    • pp.127-132
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    • 2000
  • Morphological analysis of wear particles is one of useful methods for machine condition monitoring because it is well reflected in machine driving state. This paper was undertaken to apply to the condition monitoring of hydraulic piston motor. The lubricating wear test was performed under different experimental conditions using the wear test device and wear specimens of the pin on disk type was rubbed in paraffinic base oil by three kinds of lubricating materials, varying applied load, sliding distance. The four shape parameters(50% volumetric diameter, aspect, roundness and reflectivity) are used for morphological analysis of wear particles. The results showed that the four shape parameters of wear particles depend on a kind of the lubricating materials. It was capable of calculating presumed wear volume for three kinds of materials on driving time to foresee as damage condition of lubricating materials.

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A study on the arc discharge characteristics of liquid insulating materials for electrical discharge machine (방전가공기용 액체 절연재료의 아크 방전 특성 연구)

  • 김상현;김해종;마대영;신태민
    • Electrical & Electronic Materials
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    • v.8 no.5
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    • pp.564-571
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    • 1995
  • This paper deals with the arc discharge characteristics of kerosene oil as a basic study on electrical discharge machine. Using needle electrode the discharge voltage, discharge current, discharge energy and the shape of discharge crater are measured. In consequence, it becomes clear that the discharge crater(depth, height, diameter) is depending on the discharge energy. Rapid increase in depth, height and diameter of discharge crater was observed during initial discharge, where discharge energy is large. However, rather slow decrease of those values was found when discharge energy is low or N is more than 3. As the ratio of $I_p$$T_on$ increase, the shape of discharge crater gets near circle. The protuberances of the discharge crater were not formed by the melted needle electrode but by the that of work piece.

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Study on Improvement of Performance by Optimizing Impeller Shape of a Coolant Pump (쿨런트 펌프 임펠러 형상 최적화를 통한 성능개선에 관한 연구)

  • Gil, Min Hyeong;Lee, Gun-Myung
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.18 no.5
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    • pp.48-52
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    • 2019
  • A coolant pump is the device that cools processed articles and tools when using cutting, boring, and grinding machine tools and provides cutting oil for distributing or cleansing the cut chip to the worktable, processing position, etc. In particular, it consumes a large proportion of energy in machine tools, so it plays an important role in terms of energy efficiency. The purpose of this research is to optimize the shape of impeller, which directly affects performance improvements, to determine the capacity of the coolant pump. To do so, we carried out a parametric analysis with the geometric shape of the impeller as the input variable.

Image Analysis of Wear Debris on Operating Condition of the Lubricated Moving Surface (윤활운동면의 작동조건에 따른 마멸분 화상해석)

  • Seo, Y.B.;Park, H.S.;Jun, T.O.;Lee, K.Y.
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.5
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    • pp.143-149
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    • 1997
  • This paper was undertaken to do image analysis of wear debris on operating condition of the lubricated moving surfaces. This lubricating wear test was performed under different experimental conditions using the wear test device was made in our laboratory and wear testing specimen of the pin on dist type was rubbed in paraffine series base oil, by materials, varying applied load, sliding distance. The four shape parameters (50% volumetric diameter, aspect, roundness and reflectivity) to describe wear debris have been developed and are outlined in the paper. A system using such techniques promises to obviate the need for subjective, human interpretation of particle morphology for machine condition monitoring, this to overcome many of the difficulties with current methods and facilitating wider use of wear particle analysis in machine condition monitouing.

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Artificial intelligence (AI) based analysis for global warming mitigations of non-carbon emitted nuclear energy productions

  • Tae Ho Woo
    • Nuclear Engineering and Technology
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    • v.55 no.11
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    • pp.4282-4286
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    • 2023
  • Nuclear energy is estimated by the machine learning method as the mathematical quantifications where neural networking is the major algorithm of the data propagations from input to output. As the aspect of nuclear energy, the other energy sources of the traditional carbon emission-characterized oil and coal are compared. The artificial intelligence (AI) oriented algorithm like the intelligence of a robot is applied to the modeling in which the mimicking of biological neurons is utilized in the mathematical calculations. There are graphs for nuclear priority weighted by climate factor and for carbon dioxide mitigation weighted by climate factor in which the carbon dioxide quantities are divided by the weighting that produces some results. Nuclear Priority and CO2 Mitigation values give the dimensionless values that are the comparative quantities with the normalization in 2010. The values are 1.0 in 2010 of the graphs which are changed to 24.318 and 0.0657 in 2040, respectively. So, the carbon dioxide emissions could be reduced in this study.

피스톤 형상이 유압 피스톤 펌프에 미치는 영향

  • 박태조;이정오
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 1994.06a
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    • pp.42-48
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    • 1994
  • 고압하에서 고속으로 작동하는 유압 피스톤 펌프(hydraulic piston pump) 또는 모터(motor) 등의 유압기계(hydrostatic machine)에서 피스톤과 실린더 사이의 간극(clearance)을 흐르는 유압유(hydraulic oil)의 유동에 관한 연구는 이러한 유압기계의 피스톤부 설계에서 특히 중요하다. 본 연구에서는 원통형 피스톤이 원통부와 테이퍼가 진 부분으로 나누어져 있는 복합(composite)형상의 피스톤에 대한 이론해석을 수행하여 피스톤의 형상이 유압 피스톤 펌프의 윤활성능에 미치는 영향을 조사하고자 한다.

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