钢中夹杂物统计方法研究及应用

研究钢中夹杂物的分布、尺寸、成分等信息,对提高钢材质量至关重要.文中首先以DC01深冲钢、42CrMo合金结构钢和82A帘线钢为例研究夹杂物统计的样品制备方法,摸索出适合低、中、高碳钢的样品制备和保存方法;其次,设置合理的夹杂物统计参数,加速电压设置为15 kV,Fe-Al衬度值设置为200-60,夹杂物阈值设置为0-...

Research and application of statistical method for inclusions in steel

The study on distribution, size, composition and other information of inclusions in steel is essential to improve the quality of steel. DC01 deep drawing steel, 42CrMo alloy structural steel and 82A tire cord steel were taken as examples to study the sample preparation method for inclusion statistics. A method for sample preparation and preservation suitable for low, medium and high carbon steel was explored. Secondly, the reasonable parameters of acceleration voltage 15 kV, Fe-Al contrast value 200-60 and inclusion threshold 0-160 were set for inclusions statistics. Meanwhile, the statistical repeatability and time of inclusion analyzer were discussed. Finally, the application of inclusion statistical results in process optimization of DC01 and 82A was studied. The results showed that: if the sample was prepared using diamond grinding disc and diamond polishing agent, and the sample surface was protected with adhesive tape, the statistical efficiency of the low, medium and high carbon steel could be up to 98%. Good repeatability of statistical results was obtained by setting reasonable inclusion statistical parameters. The maximum relative deviation of the quantity of inclusions was 1.20%, and the statistical time was about 45 min (95 mm² for the statistical area, 1 μm or more for size, and 325 for the quantity of inclusions). In addition, the process improvement was guided by the analysis of statistical results of inclusions to provide technical support for the optimization of steelmaking process.