RESEARCH ON CARBIDES IN M50 BEARING STEEL BASED ON MASK R-CNN DEEP LEARNING MODEL
The main types of carbides in M50 bearing steel are MC, M<sub>2</sub>C and M<sub>23</sub>C<sub>6</sub>. Under the scanning electron microscopy (SEM), they exhibit significant differences in the shape, size, and distribution. Some carbides have larger sizes and une...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Strength
2025-08-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2025.08.003 |
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| Summary: | The main types of carbides in M50 bearing steel are MC, M<sub>2</sub>C and M<sub>23</sub>C<sub>6</sub>. Under the scanning electron microscopy (SEM), they exhibit significant differences in the shape, size, and distribution. Some carbides have larger sizes and uneven distribution. They become areas of stress concentration under loading， which has a negative impact on the bearing fatigue performance. So an improved mask region-based convolutional neural network (Mask R-CNN) model was proposed which can batch identify the types of three kinds of carbides in SEM pictures, the diameters of carbides were measured, and the distribution of carbides was showed. The output images and histogram results show that the size of M<sub>2</sub>C carbide in M50 bearing steel is large and unevenly distributed, but the distribution of MC carbide with the largest size and M<sub>23</sub>C<sub>6</sub> with the smallest size is reasonably uniform. |
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| ISSN: | 1001-9669 |