• 제목/요약/키워드: Distributions

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SiC 휘스커강화 금속복합재료와 지르코니아 접합체의 잔류응력 해석에 관한 연구 (A Study on Residual Stress of SiC Whisker Reiforced AI Alloy/$ZrO_2$ Joints)

  • 주재황;박명균
    • 한국자동차공학회논문집
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    • 제4권6호
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    • pp.18-26
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    • 1996
  • A two dimensional thermo elasto-plastic finite element stress analysis was performed to study residual stress distributions in AI composites reinforced by SiC whisker and $ZrO_2$ ceramic joints. The influences on the residual stress distributions due to the difference of the reinforcement volume fraction and interlayer material property were investigated. Specifically, stress distributions between AI interlayer material property were investigated. Specifically, stress distributions between AI interlayer and $ZrO_2$ ceramic and between the AI interlayer and AI composite were computationally analzed.

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적외선 조사된 토양에 대한 열전달 모델 (Heat Transfer Model for Soil Irradiated by Infrared)

  • 강화석;이귀현;강위수;오재헌
    • Journal of Biosystems Engineering
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    • 제21권4호
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    • pp.449-455
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    • 1996
  • The temperature distributions at various soil depths were predicted by heat transfer model during and after infrared irradiation on sand loam or loam soil. At each soil depth, predicted and measured temperature distributions were compared with using the mean relative percentage deviation and standard error. The mean relative percentage deviation was less than 10% between predicted and measured temperature distributions at each soil depth. Thus, it was concluded that the temperature distribution at each soil depth could be predicted satisfactorily by heat transfer model. Also, it is expected that these predicted temperature distributions can be used as basic information for determining the working speed of weeder and the size when the real weeder is constructed.

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다회가공 평면연삭작업에서 표면조도의 실험적 예측 (Experimental Surface Roughness Estimation in Multi-Pass Horizontal Grinding Operations)

  • 최후곤;김재윤;여명구
    • 한국정밀공학회지
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    • 제17권2호
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    • pp.64-72
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    • 2000
  • Surface roughness is one of the most important characteristics in machining processes. This study presents probabilistic models to estimate surface roughness experimentally in multi-pass horizontal surface grinding operations from three independent distributions such as the initial surface roughness distributions of workpiece, the distributions of the wheel radius, and the distributions of distances between major active grains. To specify the model characteristics from surface roughness measurements, either the probability satisfying a given surface roughness or the range of surface roughness satisfying a given probability have been estimated while grinding conditions are fixed. Finally, the relationship between grinding conditions satisfying surface roughness range under a given probability can be established.

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파워(>2)분산함수를 가진 자연지수계열군에 속하는 분포들의 백분위수 (Percetiles for the distributions belonging to the natural exponential families having power variance functions)

  • 서의훈
    • 응용통계연구
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    • 제8권1호
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    • pp.133-149
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    • 1995
  • 파워(>2)분산함수를 가진 자연지수계열군에 속하는 분포들의 확률밀도함수는 무한급수로 표현되기 때문에 분포들의 유용성에도 불구하고 취급하기가 매우 힘들다. 따라서 이 논문에서는 분포들에 대한 백분위수들의 표를 제시하고자 하였다. 확률밀도 함수의 형태때문에 계산하기 곤란했던 몇가지 백분위수들이 위 분포들이 가지는 확률적 성질들에 기인하여 구해지는 근사백분위수에 의해 상당히 잘 대체될 수 있음을 보여주었다.

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PIV기법을 이용한 분기 사각덕트네의 유동특성에 관한 실험적 연구 (An Experimental Study on the Flew Characteristics in Dividing Rectangular Duet by using a PIV Technique)

  • 이행남;박길문;이덕구
    • Journal of Advanced Marine Engineering and Technology
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    • 제25권6호
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    • pp.1195-1202
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    • 2001
  • The flow characteristics in a bifurcated duct are investigated experimentally. Physical properties such as mean velocity vectors, mean x-y stress distributions, mean vorticity and total pressure distributions are Obtained for three different Reynolds numbers(578, 620, 688) Using PIV measurements and CFD analysis. Also, three different rates of discharge Q=26.11 l/min, Q=28.11 $\ell$/min, Q=31.17 $\ell$/min) were selected foy experimental conditions. The results of this study would be useful to the engineer in designing the flow systems for heating, ventilation, air conditioning and wastewater purification plants.

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종속 관계의 스트레스-강도 모형 (Stress-Strength model with Dependency)

  • 김대경;김진우;박동호
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제11권4호
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    • pp.319-330
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    • 2011
  • We consider the stress-strength model in which a unit of strength $T_2$ is subjected to environmental stress $T_1$. An important measure considered in stress-strength model is the reliability parameter R=P($T_2$ > $T_1$). The greater the value of R is, the more reliable is the unit to perform its specified task. In this article, we consider the situations in which $T_1$ and $T_2$ are both independent and dependent, and have certain bivariate distributions as their joint distributions. To study the effect of dependency on R, we investigate several bivariate distributions of $T_1$ and $T_2$ and compare the values of R for these distributions. Numerical comparisons are presented depending on the parameter values as well.

A new class of bivariate distributions with exponential and gamma conditionals

  • Gharib, M.;Mohammed, B.I.
    • International Journal of Reliability and Applications
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    • 제15권2호
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    • pp.111-123
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    • 2014
  • A new class of bivariate distributions is derived by specifying its conditionals as the exponential and gamma distributions. Some properties and relations with other distributions of the new class are studied. In particular, the estimation of parameters is considered by the methods of maximum likelihood and pseudolikelihood of a special case of the new class. An application using a real bivariate data is given for illustrating the flexibility of the new class in this context, and, also, for comparing the estimation results obtained by the maximum likelihood and pseudolikelihood methods.

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Adaptive M-estimation in Regression Model

  • Han, Sang-Moon
    • Communications for Statistical Applications and Methods
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    • 제10권3호
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    • pp.859-871
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    • 2003
  • In this paper we introduce some adaptive M-estimators using selector statistics to estimate the slope of regression model under the symmetric and continuous underlying error distributions. This selector statistics is based on the residuals after the preliminary fit L$_1$ (least absolute estimator) and the idea of Hogg(1983) and Hogg et. al. (1988) who used averages of some order statistics to discriminate underlying symmetric distributions in the location model. If we use L$_1$ as a preliminary fit to get residuals, we find the asymptotic distribution of sample quantiles of residual are slightly different from that of sample quantiles in the location model. If we use the functions of sample quantiles of residuals as selector statistics, we find the suitable quantile points of residual based on maximizing the asymptotic distance index to discriminate distributions under consideration. In Monte Carlo study, this adaptive M-estimation method using selector statistics works pretty good in wide range of underlying error distributions.

존슨 시스템에 의한 비정규 공정능력의 평가 (Evaluation of Non - Normal Process Capability by Johnson System)

  • 김진수;김홍준
    • 대한안전경영과학회지
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    • 제3권3호
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    • pp.175-190
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    • 2001
  • We propose, a new process capability index $C_{psk}$(WV) applying the weighted variance control charting method for non-normally distributed. The main idea of the weighted variance method(WVM) is to divide a skewed or asymmetric distribution into two normal distributions from its mean to create two new distributions which have the same mean but different standard deviations. In this paper we propose an example, a distributions generated from the Johnson family of distributions, to demonstrate how the weighted variance-based process capability indices perform in comparison with another two non-normal methods, namely the Clements and the Wright methods. This example shows that the weighted valiance-based indices are more consistent than the other two methods in terms of sensitivity to departure to the process mean/median from the target value for non-normal processes. Second method show using the percentage nonconforming by the Pearson, Johnson and Burr systems. This example shows a little difference between the Pearson system and Burr system, but Johnson system underestimated than the two systems for process capability.

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Depth Distributions of $Bi^{+}$ Ions Implanted into Ni, Si and $SiO_2$, Films

  • Wang, Ke-Ming;Feng Chen;Wang, Xue-Lin;Zhang, Jian-Hua;Liu, Xiang-Dong
    • Journal of Korean Vacuum Science & Technology
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    • 제6권1호
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    • pp.8-11
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    • 2002
  • Ni, Si and $SiO_2$ films were implanted by 350 keV B $i_{+}$ ions at room temperature with fluences of 1$\times$10$^{16}$ and 2$\times$10$^{16}$ ions/c $m^2$ The depth distributions of implanted B $i^{+}$ ions in Ni, Si and $SiO_2$ films were by investigated by Rutherford backscattering. The results show that the depth distributions of implanted B $i^{+}$ ions into Ni, Si and $SiO_2$ films have obeyed nearly Gaussian distributions. The maximum difference between experimental and calculated values is less than 18 % for mean projected range. Experimental range straggling deviated significantly from calculated value. The possible reasons are discussed.sed.d.

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