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Fast Prediction of Heat Transfer and Solidification for Hot Formed Steel in Compact Strip Production Combining Mechanism Models and Machine Learning

https://doi.org/10.2139/ssrn.5242852
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Evolution of Porosity Microsegregation in Continuous Casting Bloom During the Heating Process
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Full-Process Numerical Simulation of Flow, Heat Transfer and Solidification for Hot Stamping Steel Manufactured via Thin Slab Continuous Casting Process
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Multi-task Learning Model of Continuous Casting Slab Temperature Based on DNNs and SHAP Analysis
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Probabilistic modelling of microstructure formation in solidification processes
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A coupled finite element-cellular automaton model for the prediction of dendritic grain structures in solidification processes
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Bo-LSTM based cross-sectional profile sequence progressive prediction method for metal tube rotate draw bending
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Deep learning based phase transformation model for the prediction of microstructure and mechanical properties of hot-stamped parts
inferredcites →https://doi.org/10.1016/s1006-706x(07)60037-5openalex-snapshot
Numerical Simulation of Coupled Molten Steel Flow and Temperature Fields in Compact Strip Production Casting
inferredcites →https://doi.org/10.1016/s1006-706x(07)60057-0openalex-snapshot
Numerical Simulation of Austenite Recrystallization in CSP Hot Rolled C-Mn Steel Strip
inferredcites →https://doi.org/10.1016/s1006-706x(12)60041-7openalex-snapshot
Comparison of Grain Size in Plain Carbon Hot-Rolled Sheets Manufactured by CSP and Conventional Rolling Processing
inferredcites →https://doi.org/10.1038/s44172-023-00084-1openalex-snapshot
Real-time prediction and adaptive adjustment of continuous casting based on deep learning
inferredcites →https://doi.org/10.1088/0965-0393/13/7/005openalex-snapshot
A solidification heat transfer model and a neural network based algorithm applied to the continuous casting of steel billets and blooms
inferredcites →https://doi.org/10.1088/1757-899x/861/1/012061openalex-snapshot
A cellular automaton approach for the prediction of grain size in grain refined alloys
inferredcites →https://doi.org/10.1109/5326.923273openalex-snapshot
A new approach to numerical stability analysis of fuzzy control systems
inferredcites →https://doi.org/10.1109/ccdc.2009.5192776openalex-snapshot
Application of variable-metric chaos optimization neural network in predicting slab surface temperature of the continuous casting
inferredcites →https://doi.org/10.1109/ccdc52312.2021.9602402openalex-snapshot
Research on Zinc Layer Thickness Prediction Based on LSTM Neural Network
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1162/neco_a_01199openalex-snapshot
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
inferredcites →https://doi.org/10.2355/isijinternational.48.1451openalex-snapshot
Microstructural Refinement and Precipitation Behavior of Low Carbon Steel Produced by Compact Strip Production
inferredcites →https://doi.org/10.2355/isijinternational.53.2142openalex-snapshot
Mechanism of Non-metallic Inclusion Formation and Modification and Their Deformation during Compact Strip Production (CSP) Process for Aluminum-Killed Steel
inferredcites →https://doi.org/10.3390/pr10122738openalex-snapshot
Modeling Study on Melt Flow, Heat Transfer, and Inclusion Motion in the Funnel-shaped Molds for Two Thin-Slab Casters
inferredcites →https://doi.org/10.3390/s21030972openalex-snapshot
A Deep Learning Model for Predictive Maintenance in Cyber-Physical Production Systems Using LSTM Autoencoders
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