The steel used in thermal power plants will undergo creep aging and performance degradation after long-term service in high-temperature and high-pressure environments. Regular metallographic inspection is required to ensure the safe and stable operation of the equipment. In response to the issues of low efficiency and poor repeatability in the evaluation of metallographic structure, which are easily influenced by human factors, this paper uses metallographic inspection images to establish a sample dataset and presents a deep learning-based metallographic structure evaluation method for thermal power steel based on the ConvNeXt-T convolutional neural network model. The performance of the constructed model on the validation set was evaluated using a confusion matrix. The accuracy of the model's spheroidization assessment for pearlite was 98.7%, the precision was 97.3%, the sensitivity was 97.2%, the specificity was 99.1%, and the F1-Score was 97.2%. This indicates that the method is capable of accurately assessing the metallographic structure of thermal power steel, overcoming human factors, improving rating efficiency, and forming an objective evaluation. It provides a new method for the intelligent assessment of the metallographic microstructure of thermal power steel, helping the power industry move towards digitalization and intelligence in metallographic.
The bearing sleeve and pin shaft of 110kV circuit breaker spring operating mechanism were broken in the combination parts of energy storage shaft and CAM in the low electric pressure split and close test. The macroscopic morphology, hot acid erosion and microstructure of the mechanism were observed.The test results show that there are grinding cracks left in the inner surface of the bearing sleeve of the energy storage shaft and cam combination parts. When the split-and-close test is carried out, the energy storage retaining button and the bearing sleeve exert large mutual extrusion stress. The pin bearing in the energy storage shaft and cam combination parts is broken by bending stress, which leads to the fracture of the cylindrical ball roller and the bearing sleeve.
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