Paper Title:
Original Position Statistic Distribution Analysis (OPA)-Novel Statistic Characterization Method of Different Chemical Compositions and its States of the Materials
  Abstract

Original position statistic distribution analysis (OPA) is a new analytical method to determine the quantitative distribution of different chemical compositions and their states of the materials. A novel quantitative metal original position analyzer has been invented by combining the technology of Single Discharge Analysis (SDA) and continuous scanning excitement spark spectrum without pre-excitement. This analytical method can be used to analyze the original position statistic distribution of metals. In this study, the following examples were provided: Quantitative statistic distribution of contents of various elements on the deferent locations in materials; Quantitative statistic distribution of weight in deferent contents of the various elements; Accurate calculation of the segregation of various elements in materials; Quantitative description of the homogeneity of materials; Quantitative statistic distribution of weight in different contents of the elements in total excitement signals of materials; Quantitative description of the porosity in materials; Quantitative statistic distribution of inclusion contents on different locations in materials and distribution of inclusion sizes in materials. The concept of original position statistic distribution analysis along with the widely utilization of the metal original position analyzer will provide researchers and scientists a new method to study the internal characteristics and predict the properties of the materials

  Info
Periodical
Materials Science Forum (Volumes 539-543)
Main Theme
Edited by
T. Chandra, K. Tsuzaki, M. Militzer , C. Ravindran
Pages
4446-4451
DOI
10.4028/www.scientific.net/MSF.539-543.4446
Citation
H. Z. Wang, "Original Position Statistic Distribution Analysis (OPA)-Novel Statistic Characterization Method of Different Chemical Compositions and its States of the Materials", Materials Science Forum, Vols. 539-543, pp. 4446-4451, 2007
Online since
March 2007
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$32.00
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