Development status and prospect of artificial intelligence recognition in metallographic inspection
Metallographic inspection is an important approach for quality control of steel products.The quality problems can be reflected through classifying and rating of nonmetallic inclusions,grain size,microstructure,decarburized layer and ni-trided layer.Then the corresponding measures are made to optimize the smelting and rolling production process.The rating process of metallographic inspection relies entirely on manual reference to the standard rating map,which has some disad-vantages such as large influence of human subjective factors,low accuracy and low efficiency.The rapid development of ar-tificial intelligence technology provides a realistic basis for the automatic identification and rating in metallography.The ap-plication status and research progress of artificial intelligence image recognition technology in metallographic inspection were summarized.Its development direction and challenges were discussed.
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