• Title, Summary, Keyword: 마멸분

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Neutral Network에 의한 기계운활면의 마멸분 해석

  • 박흥식
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • pp.65-71
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    • 1995
  • 기계 윤활면내에 포함된 마멸입자는 기계시스템의 상태를 잘 대변하여 주므로 마멸입자의 크기분포, 단위체적당 입자수, 구성성분 및 형상 등의 정확한 규명은 기계시스템의 상태진단을 위한 여러 정보를 제공한다. 특히 마멸입자의 형상과 그 크기는 미시적 파괴현상인 마멸과정의 기구를 반영해 주고 있으며, 또한 마멸입자의 표면은 그것이 마찰면 혹은 파단면의 미시적인 형상과 반응 생성물을 포함하고 있는 표본이 된다. 본 연구에서는 마멸분의 형상, 크기, 표면광택 등과 그것이 발생하는 작동조건과의 관계를 인공 신경회로망 해석을 이용하여 기계 윤활면의 마멸분 형태인식에 적용하는 것을 목적으로 하였다.

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Ferrography에 의한 마멸분 정량분석

  • O, Seong-Mo;Lee, Bong-Gu
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.24 no.10
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    • pp.2420-2427
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    • 2000
  • In contacting between surface, there is wear and the generation of wear particles. The particles contained in the lubricating oil carry detailed and important information about the condition monitoring of the machine. Therefore, This paper was undertaken for Ferrography system of wear debris generated from lubricated moving machine surface. The lubricating wear test was performed under different experimental conditions using the Falex wear test of Pin and V-Block type by Ti(C,N) coated. It was shown from the test results that wear particle concentration(WPC) ; wear severity Index(IS) and size\distribution have come out all the higher value by increases sliding friction time. By the Ferrogram a thin leaf wear debris as well as ball and plate type wear particles was observed.

Wear Debris Identification of the Lubricated Machine Surface with Neural Network Model (신경회로망 모델을 이용한 기계윤활면의 마멸분 형태식별)

  • 박홍식;서영백;조연상
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.3
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    • pp.133-140
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    • 1998
  • The neural network was applied to identify wear debris generated from the lubricated machine surface. The wear test was carried out under different experimental conditions. In order to describe characteristics of debris of various shapes and sizes, the four shape parameter(50% volumetric diameter, aspect, roundness and reflectivity) of wear debris are used as inputs to the network and learned the friction condition of five values(material 3, applied load 1, sliding distance 1). It is shown that identification results depend on the ranges of these shape parameter learned. The three kinds of the wear debris had a different pattern characteristics and recognized the friction condition and materials very well by neural network.

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Analysis of Wear Debris for Machine Condition Diagnosis of the Lubricated Moving Surface (기계윤활 운동면의 작동상태 진단을 위한 마멸분 해석)

  • Seo, Yeong-Baek;Park, Heung-Sik;Jeon, Tae-Ok
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.21 no.5
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    • pp.835-841
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    • 1997
  • Microscopic examination of the morphology of wear debris is an accepted method for machine condition and fault diagnosis. However wear particle analysis has not been widely accepted in industry because it is dependent on expert interpretation of particle morphology and subjective assessment criteria. This paper was undertaken to analyze the morphology of wear debris for machine condition diagnosis of the lubricated moving surfaces by image processing and analysis. The lubricating wear test was performed under different sliding conditions using a wear test device made in our laboratory and wear testing specimen of the pin-on-disk-type was rubbed in paraffine series base oil. In order to describe characteristics of debris of various shape and size, four shape parameters (50% volumetric diameter, aspect, roundness and reflectivity) have been developed and outlined in the paper. A system using such techniques promises to obviate the need for subjective, human interpretation of particle morphology in machine condition monitoring, thus to overcome many of the difficulties in current methods and to facilitate wider use of wear particle analysis in machine condition monitoring.

A Study on the Wear Testing of Silding Members of Hydraulic Rotary Actuator (유압피스톤 모터용 습동부재의 마모실험에 관한 연구)

  • 김광영;함영복;이태서
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • pp.608-613
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    • 1997
  • This study discusses the developmentof hydraulic rotary actuator design technology for industriol machinery and earthmoving equipment. The lubrication and wear analysis of sliding components of the machinery are very important parameters to sterngth the design technique. The analysis and were test are performed for the selected materials of the above mentioned coupled sliding members using the experimental results. One can selsct the better combination of sliding components.

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Image Analysis of Wear Debris on Operating Condition of Lubricated Machine Surface (윤활운동면의 작동상태에 따른 마멸분 화상해석)

  • 서영백;박흥식;전태옥;진동규;김형자
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • pp.60-67
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    • 1996
  • This paper was undertaken to analyze the morphology of wear debris on operating condition of lubricated machine surfaces. The lubricating wear test was carried out under different experimental conditions using the wear test device was made in our laboritory and wear testing spcimen of the pin on disk type was rubbed in paraffine series base oil, by varying specimen, applied load, sliding distance. The four shape parameters (50% volumetric diameter, aspect, roundness and reflectivity) to describe morphology of 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.

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Morphological Analysis of Wear Particles for Sliding Members of Hydraulic Rotary Actuator (유압피스톤 모터용 습동재료의 마멸분 형태특징 해석)

  • 김성희;조연상;서영백;박흥식;전태옥
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • pp.87-92
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    • 1999
  • This paper was undertaken to do morphological analysis of wear particles for sliding members hydraulic rotary actuator. 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 presuming wear volume for three kinds of materials on driving time.

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Analysis of Wear Debris for Operating Condition Evaluation of Lubricated Machine Surface (기계윤활면의 작동상태 평가를 위한 마멸분 해석)

  • 서영백;박흥식;전태옥;이광영
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • pp.85-89
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    • 1996
  • This paper was undertaken to analyze the morphology of wear debris for operating condition evaluatio of lubricated machine surfaces. The lubricating wear test was carried out under different experimental conditions using tile wear test device was made in our laboritory and wear testing spcimen of the pin on disk type was rubbed in paraffine series base oil, by varying specimen, applied load, sliding distance. The four shape parameters (50% volumetric diameter, aspect, roundness and reflectivity) to describe morphology of wear debris have been developed and are outlined in tile paper. A system using such techniques promises to obviate the need for subjective, human interpretation of particle morphology in machine condition monitoring

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Study of Identification of Lubricant Condition for Hydraulic Member (유압구동 부재의 마찰 상태 식별에 관한 연구)

  • Gang, In-Hyeok;Ryu, Mi-Ra;Park, Jae-Sang;Park, Heung-Sik
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • pp.193-199
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    • 2002
  • Analyzing working conditions with shape characteristics of wear debris in a lubricated machine, it can be effect on diagnosis of hydraulic machining system. And it can be recognized that results are processed threshold images of wear debris. But, in order to predict and estimate a working condition of lubricated machine, it is need to analysis a shape characteristic of wear debris and to identify. Therefor, If shape characteristics of wear debris are identified by computer image analysis and the neural network, it is possible to find the cause and effect of wear condition. In this stud)r, wear debris in the lubricant oil are extracted by membrane filter $(0.45{\mu}m)$, and the quantitative value of shape characteristic of wear debris are calculated by the digital image processing. This morphological information are studied and identified by tile artificial neural network. The purpose of this study is to apply morphological characteristic of wear debris to prediction and estimation of working condition in hydraulic machining systems.

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