Spark spectrometry for inclusions content distribution on the surface of large size metallic materials

    公开(公告)号:US12203864B2

    公开(公告)日:2025-01-21

    申请号:US18082822

    申请日:2022-12-16

    Abstract: A spark spectrometry for inclusions content distribution on the surface of large size metallic materials, comprising the following steps: analyzing the surface of large-size metallic materials by spark discharge continuous excitation scanning, obtaining a mixture intensity distribution data of the solid solution and inclusions of an element on the surface of the large-size metallic materials; the relative frequency distribution diagram of spectral intensity is subjected to peak fitting of normal distribution and Gumbel distribution, obtaining an extreme value distribution data of spectral intensity of the inclusions; a size information of the inclusions in a small sample and that of the largest inclusions are correlated with the spectral intensity distribution data of inclusions, obtaining a result of content distribution of the inclusions on the surface of the large size metallic materials. The invention can quickly obtain accurate distribution information of inclusions of various elements on the surface of metallic materials.

    Single pulse spectral statistical analysis method for particle size distribution of inclusion on surface of metal material

    公开(公告)号:US12270745B1

    公开(公告)日:2025-04-08

    申请号:US18782044

    申请日:2024-07-24

    Abstract: A single pulse spectral statistical analysis method for particle size distribution of inclusions on a surface of a metal material is provided. The method includes the following steps: analyzing a surface of an oversized metal material through single pulse discharge continuous excitation scanning to obtain mixed intensity data of spectral intensities of solid solution and inclusions of an inclusion element on the surface of the oversized metal material and a relative frequency distribution diagram; performing peak fitting processing on the relative frequency distribution diagram of the mixed spectral intensities to obtain a relative frequency distribution diagram of the spectral intensities of the inclusion; and correlating particle size information of inclusions of a small sample with distribution data of the spectral intensities of the inclusions to determine a corresponding relation between the particle sizes and the spectral intensities of the inclusions, thereby obtaining a particle size distribution result.

    Integrated Research and Development System for High-throughput Preparation and Statistical Mapping Characterization of Materials

    公开(公告)号:US20230205175A1

    公开(公告)日:2023-06-29

    申请号:US18116279

    申请日:2023-03-01

    CPC classification number: G05B19/4099 G05B2219/49023

    Abstract: The present invention discloses an integrated research and development system for high-throughput preparation and statistical mapping characterization of materials, comprising: a high-throughput preparation module, a high-throughput characterization module, an automatic control module and a statistical mapping data processing module; the high-throughput preparation module is used for preparing a multi-component combinatorial-sample; the high-throughput characterization module comprises a plurality of different high-throughput characterization devices; the automatic control module comprises a special sample box, a sample moving platform, an intelligent mechanical arm and a synchronous control system; and the statistical mapping data processing module is used for constructing a statistical mapping constitutive model corresponding to position mapping according to the composition, microstructure and performance data of the combinatorial-sample. The present invention integrates multiple functions, has high automatic control level, improves the experimental speed and experimental efficiency.

    Measurement deviation correction method and system for spark discharge analysis of large-size metal material

    公开(公告)号:US11754503B1

    公开(公告)日:2023-09-12

    申请号:US17975636

    申请日:2022-10-28

    CPC classification number: G01N21/67 G01N21/93

    Abstract: A measurement deviation correction method and system for spark discharge analysis of a large-size metal material includes: performing line-by-line scanning measurement on a surface of the material to obtain a line component content, performing in-line correction on the line component content by adopting a line linear fitting model, and performing inter-line correction by taking a total average value obtained by eliminating an extreme value from a line component content distribution to obtain an inter-line corrected component content; performing column-by-column scanning measurement on the surface of the material to obtain a column component content, performing in-column correction on the column component content by adopting a column linear fitting model, and performing inter-column correction by taking a total average value obtained by eliminating an extreme value from the column component content; and coupling the inter-line corrected component content and the inter-column corrected component content to obtain an optimal measurement component content.

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