• 제목/요약/키워드: Wear Curve

검색결과 118건 처리시간 0.024초

탄화규소의 R-curve, 침식 및 마모 특성 (R-curve, erosion and wear of silicon carbide ceramics)

  • 채준혁;조성재;김석삼
    • 한국윤활학회:학술대회논문집
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    • 한국윤활학회 1998년도 제27회 춘계학술대회
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    • pp.139-145
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    • 1998
  • This paper addresses the R-curve properties, wear resistance, and erosion resistance of the two silicon carbide ceramics with different microstructures, i.e. , fine grained SiC and in situ-toughened SiC(IST SIC). Fine grained SiC exhibits a relatively flat R-curve behavior whereas the IST SiC exhibits a increasing R-curve behavior. The increasing R-curve behavior in IST SiC is attributed to relatively weak grain boundaries. The rate of material removal during wear tests and erosion tests was higher for IST SiC than that for fine grained SiC. This is attributed to the weaker grain boundaries in IST SiC than that in fine grained SiC. It is implied that fracture toughness in short crack regime should be taken into consideration in the interpretation of the microscopical material removal process. We show that the higher the strength of grain boundaries is, the higher wear and erosion resistances are.

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고속열차 차륜 플랜지 마모 (Flange Wear of the High Speed Train)

  • 이희성;강부병
    • Tribology and Lubricants
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    • 제22권1호
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    • pp.33-39
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    • 2006
  • During the high speed train operation in the conventional line, it was found to have extremely severe flange wear, due to the curvy routes. This paper looks at the actions that have been taken to bring the wear to an acceptable level. In particular, it have been presented for flange wear variation depending on curve radius, cant, transition curve length by using numerical method. And the impacts on the flange wear by the application of stick type solid lubricant are also presented.

탄화규소의 T-curve, 마모 및 침식 (T-curve, wear and Erosion of Silicon Carbide)

  • 채준혁;조성재;윤경진;김석삼
    • Tribology and Lubricants
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    • 제14권4호
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    • pp.114-120
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    • 1998
  • The T-curve, wear and erosion behaviors of two different silicon carbides, i.e., the fine grained SiC and the in situ-toughened SiC(IST-SiC). Both materials exhibited an increasing T-curve behavior, although the T-curve of IST-SiC was steeper than that of fine grained SiC. The fracture toughness of IST-SiC was larger than that of fine grained SiC at long crack regime, whereas an opposite tendency occurred at short crack regime. The rate of material removal during wear and erosion tests was higher in IST-SiC compared to fine grained SiC. The difference between the material removal rates of two materials was discussed in the light of their R-curve behaviors.

The Curve Fitting of Portable Wear Metal Analysis

  • Min Byung H.;Kim Woo Youl
    • 한국국방경영분석학회지
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    • 제13권1호
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    • pp.65-90
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    • 1987
  • This thesis describes the curve fitting algorithm that the Portable Wear Metal Analyzer used for calculating concentrations in ppm and compares this with some alternative algorithms. Each algorithm considered fits a curve to the three standards used, which were $20\%,\;50\%,\;and\;100\%$ of the full scale for all nine wear metals. APL was used for all programs.

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푸리에 급수와 초소 자승법을 이용한 마멸량 측정 (The measurement of the amount of wear by using least squares approximation with Fourier series)

  • 전종하;구영필;조용주
    • 한국윤활학회:학술대회논문집
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    • 한국윤활학회 1998년도 제28회 추계학술대회
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    • pp.300-305
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    • 1998
  • A method of calculating wear amount which is based on digitally measured surface profile was suggested. The original profile of worn out profile was estimated from its adjacent surface profile by using least squares curve fitting with Fourier series. The approximated curve was well fitted to original surface profile. With this approach, more accurate calculation of the wear amount will be possible.

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열연화를 고려한 금형마멸모델에 관한 연구(I)-마멸모델의 정립 (A Study on Die Wear Model considering Thermal Softening(I) -Construction of Wear Model)

  • 강종훈;박인우;제진수;강성수
    • 소성∙가공
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    • 제7권3호
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    • pp.274-281
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    • 1998
  • The service life of tools in metal forming process is to a large extent limited by wear, fatigue fracture and plastic deformation. In elevated temperature forming processes wear is the predominant factor for tool operating life. To predict tool life by wear Achard's model is generally applied. Usually hardness of die is considered to be a function of temperature. But hardness of die is a function of not only tem-perature but also operating time of die. To consider softening of die by repeated operation it is necessary to express hardness of die by a function of a function of temperature and time. By experiment of reheating of die softening curve was obtained and applied to suggest modified Archard's Model in which hardness is a function of main tempering curve.

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곡선부 주행 차량의 마모특성에 관한 연구 (A Study on the Wear Characteristics of R/S Passing through Curves)

  • 이희성
    • 한국철도학회논문집
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    • 제10권6호
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    • pp.772-778
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    • 2007
  • 곡선통과 새마을호 열차의 마모 특성을 평가하기 위하여 다량 편성 해석모델이 사용된다. 이 모델과 ADAMS/Rail를 사용하여 마모 특성과 관련된 변수의 변화에 따른 민감도 해석이 수행된다. 저속에서 우측 차륜의 마모도와 미끄럼도가 좌측 차륜보다 높으나, 고속의 경우는 좌측 차륜이 우측 차륜보다 높다. 곡선반경의 감소에 따라 마모도와 미끄럼도가 증가한다. 완화곡선의 길이가 증가하련 마모도와 미끄럼도가 증가한다. 또한 캔트가 증가하면 마모도와 미끄럼도가 증가한다.

경부고속열차의 기존선 주행시 차륜마멸특성에 관한 연구 (A Study on the Wheel Wear of High Speed Train Running on the Conventional Line)

  • 강부병;이희성
    • Tribology and Lubricants
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    • 제19권4호
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    • pp.187-194
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    • 2003
  • This paper describes the characteristics of wheel wear of high speed train running on the conventional line. Conventional line has many curved tracks that cause severe wheel flange wear. The influences of lubrication, cant deficiency, curve radius on wheel wear are also described considering the operation performance of the highspeed trainset. A method of calculation using contact patch work model is presented for determination of the evolution by wear of railway wheels.

Optimization of Wear Behavior on Cenosphere -Aluminium Composite

  • Saravanan, V.;Thyla, P.R.;Balakrishnan, S.R.
    • 한국재료학회지
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    • 제25권7호
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    • pp.322-329
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    • 2015
  • The magnitude of wear should be at a minimum for numerous automobile and aeronautical components. In the current work, composites were prepared by varying the cenosphere content using the conventional stir casting method. A uniform distribution of particles was ensured with the help of scanning electron microscopy (SEM). Three major parameters were chosen from various factors that affect the wear. A wear test was conducted with a pin-on-disc apparatus; the controlling parameters were volume percentages of reinforcement of 5, 10, 15, and 20%, applied loads of 9.8, 29.42, and 49.03 N, and sliding speeds of 1.26, 2.51, and 3.77 m/s. The design of the experiments (DOE) was performed by varying the different influencing parameters using the full factorial method. An analysis of variance (ANOVA) was used to analyze the effects of the parameters on the wear rate. Using regression analysis, a response curve was obtained based on the experimental results. The parameters in the resulting curve were optimized using the Genetic Algorithm (GA). The GA results were compared with those of an alternate efficient algorithm called Neural Networks (NNs).

비구면 평행연삭에서의 휠구면형상 창성오차 (Wheel curve generation error of aspheric grinding in parallel grinding method)

  • 황연;;이선규
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 추계학술대회 논문집
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    • pp.344-349
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    • 2005
  • This paper presents a geometrical error analysis of wheel curve generation method for micro aspheric surface machining using parallel grinding method. In aspheric grinding, wheel wear in process is crucial parameter for profile error of the ground surface. To decrease wheel weal parallel grinding method is adopted. Wheel and work piece (Tungsten carbide) contact point changes during machining process. In truing process of the wheel radius is determined by the angle and distance between wheel and truer. Wheel radius error is predominantly affected by vertical deviation between the wheel rotation center and the truer center Simulation for vertical error and wheel radius error shows same tendency that expected by geometrical analysis. Experimental results show that the analysis of curve generation method matches with simulations and wheel radius errors.

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