Statistical and Probabilistic Assessment for the Misorientation Angle of a Grain Boundary for the Precipitation of in a Austenitic Stainless Steel (II)

질화물 우선석출이 발생하는 결정립계 어긋남 각도의 통계 및 확률적 평가 (II)

  • Lee, Sang-Ho (Division of Information Statistics, Kangnung National University) ;
  • Choe, Byung-Hak (Dept. of Metal and Material Eng., Kangnung National University) ;
  • Lee, Tae-Ho (Korea Institute of Machinery & Materials) ;
  • Kim, Sung-Joon (Korea Institute of Machinery & Materials) ;
  • Yoon, Kee-Bong (Department of Mechanical Engineering, Chung-Ang University) ;
  • Kim, Seon-Hwa (Department of Display Materials Engineering, Soon Chun Hyang University)
  • 이상호 (강릉대학교 정보통계학과) ;
  • 최병학 (강릉대학교 금속재료공학과) ;
  • 이태호 (한국기계연구원 재료연구소) ;
  • 김성준 (한국기계연구원 재료연구소) ;
  • 윤기봉 (중앙대학교 기계공학부) ;
  • 김선화 (순천향대학교 디스플레이신소재공학과)
  • Received : 2008.03.31
  • Published : 2008.09.25

Abstract

The distribution and prediction interval for the misorientation angle of grain boundary at which $Cr_2N$ was precipitated during heating at $900^{\circ}C$ for $10^4$ sec were newly estimated, and followed by the estimation of mathematical and median rank methods. The probability density function of the misorientation angle can be estimated by a statistical analysis. And then the ($1-{\alpha}$)100% prediction interval of misorientation angle obtained by the estimated probability density function. If the estimated probability density function was symmetric then a prediction interval for the misorientation angle could be derived by the estimated probability density function. In the case of non-symmetric probability density function, the prediction interval could be obtained from the cumulative distribution function of the estimated probability density function. In this paper, 95, 99 and 99.73% prediction interval obtained by probability density function method and cumulative distribution function method and compared with the former results by median rank regression or mathematical method.

Keywords

Acknowledgement

Supported by : 한국과학재단

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