Method for carrying out statistic analysis on TiN and TiC inclusions in steel and iron material

Abstract

The invention discloses a method for carrying out statistic analysis on TiN and TiC inclusions in a steel and iron material. A peak position of an N element and accurate content of the N element in the TiN inclusion are accurately defined by utilizing a spectrometer in an EPMA (Electron Probe Micro-Analyzer), and a database is established so as to separate TiN from TiC; then the established database is applied to inclusion automatic detection analysis; the TiN and TiC inclusions in the steel and iron material are rapidly subjected to definition analysis by utilizing an AFA feature analysis function in an Explorer, and sizes and numbers of the inclusions are subjected to statistic analysis; and results are analyzed in connection with tissues, performance, ingredients and a process of the material so as to provide effective theoretical support for optimizing the ingredients and improving the process. The method disclosed by the invention is simple and easy to operate, cannot be influenced by human factors, and solves problems of inaccurate detection result and interference of external factors in the prior art; the process is rapidly optimized for production of the steel and iron material; production efficiency is improved; and a great amount of cost can be saved for a company.

Description

technical field [0001] The invention relates to a detection and analysis method for accurately defining and statistically analyzing TiN and TiC inclusions, belonging to the field of equipment detection and analysis. Background technique [0002] When Ti is added to iron and steel materials, fine and dispersed TiC particles can be precipitated. By increasing the number of fine TiC particles, the strength of the steel can be improved by using its precipitation strengthening effect. TiC particles in wear-resistant steel combine with Mo elements to form (TiMo ) C particles, which are relatively hard, can increase the wear resistance of wear-resistant steel. However, due to the strong chemical activity of Ti in molten steel, it is easy to form large-sized nitride inclusions with N and other elements, and the premature precipitation of TiN has a tendency to aggregate and grow, which will form larger particles in molten steel. TiN inclusions with edges and corners not only fail to...

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Problems solved by technology

However, when the sample is analyzed, the surface of the sample is easily carbonized under the action of high voltage, resulting in high C content, which makes the content of C element in the energy spectrum result inaccurate. At the same time, C and N belong to light elements, and the large error of energy spectrum analysis has always been an industry analysis. Therefore, the accurate definition and statistics of TiC and TiN particle number, size and shape distribution are of great significance to the improvement of wear-resistant steel process and material performance.

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