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Strategy For Predicting Microstructure of Medium Manganese Steel Based On by Esraa Kotb is a document available to read on EtoBox.
This paper presents a strategy for predicting the microstructure of medium manganese steel (MMS) using deep learning methods, particularly focusing on artificial neural networks (ANN). The study compares various deep learning models and demonstrates that the ANN model achieves high accuracy in predicting the microstructure under different heat treatment conditions, with coefficients of determination (R2) exceeding 0.96. The findings suggest that deep learning can effectively optimize the design and heat tre
- Author
- Esraa Kotb
- Language
- EN