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Statistical Characterization Of MnS Inclusion In Steel By Laser-Induced Breakdown Spectroscopy

Posted on:2018-07-25Degree:DoctorType:Dissertation
Country:ChinaCandidate:C YangFull Text:PDF
GTID:1311330515962001Subject:Materials science
Abstract/Summary:PDF Full Text Request
Laser-Induced Breakdown Spectroscopy(LIBS)developed rapidly as one atomic optical emission spectroscopy technique in the past two decade.It has broad application prospects in metallurgical industry as the advantage of simple sample preparation,fast analysis,small amount sample ablation,easy for on line and remote measurement.In this paper,the relationship between inclusion size and signal intensity of MnS inclusion was investigated by LIBS,quantitative characterization methods for MnS inclusion were also proposed.The experiment shows that inclusion could trigger abnormal signal.The abnormal signal number and intensity reflects the amount and size of inclusion respectively.Channel combination and 2D intensity distribution plot could clearly reveal the inclusion type and their distribution respectively.The relative intensity of component elements could be used to discriminate stable inclusion from astable inclusion.Insoluble aluminum content,caculated by the ratio of the total acid-insoluble aluminium signal intensity to total aluminum signal intensity,are well consistent with wet chemical analysis results.The statistic result shows linear relationships between signal intensity and inclusion area,length,and perimeter,but no distinct correlation between signal intensity and inclusion width.The linear relationship between signal intensity and inclusion area is much better than others.Theoretical arithmetic result confirmed the linear relationship between signal intensity and inclusion area.Reference to metallographical test standard,a quantitative analysis method for MnS inclusion is proposed based on the linear relationship.And the test results are well consistent with metallographic testing results.
Keywords/Search Tags:LIBS, inclusion, MnS, quantitative characterization
PDF Full Text Request
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