Correlation Analysis of MnS Inclusion Composition Using Original Position Statistic Distribution Analysis

2006 ◽  
Vol 15-17 ◽  
pp. 810-815 ◽  
Author(s):  
Yun Hai Jia ◽  
Hui Wang ◽  
Hai Zhou Wang
Keyword(s):  
Correlation Analysis ◽  
Pure Iron ◽  
Element Concentration ◽  
Time Sequence ◽  
Original Position ◽  
Distribution Analysis ◽  
Inclusion Composition ◽  
Inclusion Concentration ◽  
Reference Samples ◽  
Pressing Technology

In the process of Original Position Statistic Distribution Analysis, many abnormal higher spark signals exist. They are believed as inclusion signals. Analyzing the time sequence and position of the abnormal spark, It is found that the higher spark signals for S and Mn will appear simultaneously . The reason is that MnS inclusion caused the element concentration enrichment at these zone. Mixing some pure MnS crystal in pure iron powder and pressed by Heat Isostatic Pressing technology, reference samples of MnS inclusion were made . Criteria of abnormal higher spark signals for Mn and S is the measured value from the “blank sample ”.After analyzing the spark behavior of these reference samples using OPA instrument, we can calculate the MnS inclusion concentration through such method. steel samples were analyzed and results is satisfactory.

Original Position Statistic Distribution Analysis for Al Inclusion in Continuous-Casting Thin Slab

2006 ◽  
Vol 15-17 ◽  
pp. 798-803
Author(s):  
Hong Bin Gao ◽  
Liang Jing Yuan ◽  
Hai Zhou Wang
Keyword(s):  
Continuous Casting ◽  
Cross Section ◽  
Inclusion Size ◽  
Average Concentration ◽  
Original Position ◽  
Distribution Analysis ◽  
Thin Slab ◽  
Continuous Casting Slab ◽  
Inclusion Concentration ◽  
Single Discharge

Single discharge analysis and comparison of signals of multi-channels, two kinds of technique of Original position statistic distribution analysis, were used to analyze and evaluate the Al inclusion in continuous-casting thin slab. The samples are continuous casting slab . Datum of Al inclusions such as average concentration and concentration distribution , types of inclusion, concentration of the different type of Al inclusion, size distribution are obtained on different sect of cross section and the whole cross section of the sample.

Evolution of Equilibrium Composition of MnO-SiO2 and Al2O3-MnO-SiO2 Inclusions in Liquid Fe and Fe-36%Ni Alloy During Cooling

2012 ◽  
Vol 57 (2) ◽  
pp. 449-455 ◽  
Author(s):  
W. Jerzak ◽  
Z. Kalicka
Keyword(s):  
Chemical Composition ◽  
Theoretical Analysis ◽  
Thermodynamic Model ◽  
Pure Iron ◽  
Infinite Dilution ◽  
Equilibrium Composition ◽  
Inclusion Composition ◽  
Target Composition ◽  
Ni Alloy ◽  
Residual Melt

Evolution of Equilibrium Composition of MnO-SiO2and Al2O3-MnO-SiO2Inclusions in Liquid Fe and Fe-36%Ni Alloy During CoolingEvolution of chemical composition of inclusions for Fe-36%Ni melt on cooling was simulated on the basis of theoretical analysis. The equilibrium states for deoxidization reactions using manganese, silicon and aluminum were found by using the subregular solution thermodynamic model, including the interaction parameters and the activity coefficients for O, Mn, Si i Al at infinite dilution in iron and nickel. The equilibrium compositions of the inclusions when cooling the melt were computed for Fe-36%Ni for the temperatures from 1873K to 1773K. For comparison, the same analysis was made for pure iron melt. The obtained results indicate different behavior of the inclusions for those melts. For Fe-36%Ni, either MnO-SiO2inclusions or Al2O3-MnO-SiO2ones always increase substantially in MnO content on cooling. When Al2O3content goes up, the effect gets weaker. As to the pure iron melt, the inclusions behave more differently, i.e., the MnO content may go up, go down or stay constant depending on the initial inclusion composition. Despite of the fact that Al2O3-MnO-SiO2inclusions fluctuate significantly as to their compositions for Fe-36%Ni melt, it seems however, that it would be easier for this melt - in comparison to pure iron one - to forecast such a chemical target composition which would allow to achieve the desired composition of the inclusions left within the residual melt after metal cooling from 1873K to 1773 K.

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

2007 ◽  
Vol 539-543 ◽  
pp. 4446-4451 ◽  
Author(s):  
Hai Zhou Wang
Keyword(s):  
Analytical Method ◽  
Quantitative Description ◽  
New Method ◽  
Original Position ◽  
Chemical Compositions ◽  
Distribution Analysis ◽  
Accurate Calculation ◽  
Quantitative Distribution ◽  
Single Discharge ◽  
Continuous Scanning

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

Acoustic Emission Signals Characteristics of Q345R at Tensile Progress in the Normal and Low Temperatures

2013 ◽  
Vol 690-693 ◽  
pp. 1972-1975
Author(s):  
Fei Fei Long ◽  
Qiong Wang ◽  
Yang Song ◽  
Wei Li
Keyword(s):  
Acoustic Emission ◽  
Correlation Analysis ◽  
Low Temperatures ◽  
Single Parameter ◽  
Parameter Analysis ◽  
Emission Characteristics ◽  
Distribution Analysis ◽  
Tensile Process

Acoustic emission signals were collected during the tensile process of Q345R at the normal and low temperatures. The signals were analyzed by the single parameter analysis, distribution analysis and correlation analysis to result the acoustic emission characteristics of Q345R in the normal and low temperatures.

Determination of Inclusions of Boron and Titanium in Steel by Original Position Statistic Distribution Analysis Technique

2007 ◽  
Vol 539-543 ◽  
pp. 4272-4276 ◽  
Author(s):  
Dong Ling Li ◽  
Hai Zhou Wang
Keyword(s):  
Alloy Steel ◽  
Present Method ◽  
Certified Reference Materials ◽  
Original Position ◽  
Distribution Analysis ◽  
Low Alloy Steel ◽  
Optical Signals ◽  
Analysis Technique ◽  
The Relationship

A new method for the determination of inclusions of boron and titanium in medium and low alloy steel has been reported in this paper. The technique of original position statistic distribution analysis based on statistic analysis of more than ten thousands primary optical signals is applied in the present method. It is found that the abnormal high intensities in emission lines of boron and titanium occurred when a discharge volatilizes the material containing inclusions of boron and titanium. Some statistic algorithms are developed to distinguish the signals related to nonmetallic inclusions from the signals generated from soluble boron and titanium. Furthermore, mathematical models based on the relationship between the frequency of abnormal sparks and content of inclusions is put forward in this paper to count the contents of inclusions of boron and titanium. The results calculated by the present model have good coincidence with the value obtained by chemical methods. The present method has been applied to the determination of the contents of inclusions of boron and titanium in some certified reference materials and some real medium and low alloy steel samples.

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