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Numerical Simulation and Machine-Learning Informed Prediction of the Direct Chill Casting Process of Large-Scale Aluminum Ingots

https://doi.org/10.2139/ssrn.4686084
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/adem.202100432openalex-snapshot
Direct‐Chill Casting of Large‐Scale Al–Cu Alloy Ingot Under Ultrasound: Distribution of Physical Fields and Analysis of Microstructure
inferredcites →https://doi.org/10.1002/qsar.200390007openalex-snapshot
The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR Models
inferredcites →https://doi.org/10.1007/bf02651729openalex-snapshot
Experimental investigation of thermomechanical effects during direct chill and electromagnetic casting of aluminum alloys
inferredcites →https://doi.org/10.1007/s004660050467openalex-snapshot
The meshless local Petrov-Galerkin (MLPG) approach for solving problems in elasto-statics
inferredcites →https://doi.org/10.1007/s11661-000-0172-5openalex-snapshot
Determination of thermophysical properties and boundary conditions of direct chill-cast aluminum alloys using inverse methods
inferredcites →https://doi.org/10.1007/s11661-010-0256-9openalex-snapshot
Cold Cracking Development in AA7050 Direct Chill–Cast Billets under Various Casting Conditions
inferredcites →https://doi.org/10.1007/s11661-020-06112-5openalex-snapshot
Semi-solid Constitutive Parameters and Failure Behavior of a Cast AA7050 Alloy
inferredcites →https://doi.org/10.1007/s11663-004-0053-1openalex-snapshot
On the development of a three-dimensional transient thermal model to predict ingot cooling behavior during the start-up phase of the direct chill-casting process for an AA5182 aluminum alloy ingot
inferredcites →https://doi.org/10.1007/s12613-018-1659-7openalex-snapshot
The evolution of microstructure and mechanical properties during high-speed direct-chill casting in different Al–Mg2Si in situ composites
inferredcites →https://doi.org/10.1007/s12666-019-01767-0openalex-snapshot
Neural Network Modelling to Characterize Steel Continuous Casting Process Parameters and Prediction of Casting Defects
inferredcites →https://doi.org/10.1007/s42243-020-00406-zopenalex-snapshot
Numerical simulations of solidification and hot tearing for continuous casting of duplex stainless steel
inferredcites →https://doi.org/10.1016/0956-7151(93)90065-zopenalex-snapshot
Probabilistic modelling of microstructure formation in solidification processes
inferredcites →https://doi.org/10.1016/j.aej.2023.06.079openalex-snapshot
A multi-stage fault prediction method of continuous casting machine based on Weibull distribution and deep learning
inferredcites →https://doi.org/10.1016/j.apm.2014.04.036openalex-snapshot
Parameters optimization of selected casting processes using teaching–learning-based optimization algorithm
inferredcites →https://doi.org/10.1016/j.apm.2019.08.032openalex-snapshot
Numerical modelling of melt-conditioned direct-chill casting
inferredcites →https://doi.org/10.1016/j.commatsci.2012.10.028openalex-snapshot
Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis
inferredcites →https://doi.org/10.1016/j.ijheatmasstransfer.2017.08.037openalex-snapshot
Numerical analysis of temperature field and structure field in horizontal continuous casting process for copper pipes
inferredcites →https://doi.org/10.1016/j.ijthermalsci.2020.106276openalex-snapshot
Sensitivity study of the influence of the water boiling parameters on aluminum semi-continuous DC casting
inferredcites →https://doi.org/10.1016/j.jmatprotec.2010.08.027openalex-snapshot
Effects of water-restricted panel on the casting process of high strength aluminum alloy ingots
inferredcites →https://doi.org/10.1016/j.jmatprotec.2014.02.011openalex-snapshot
Influence of a wiper on residual stresses in AA7050 rolling plate ingots
inferredcites →https://doi.org/10.1016/j.jmatprotec.2021.117116openalex-snapshot
Influence of ultrasound irradiation on transient solidification characteristics in DC casting process: Numerical simulation and experimental verification
inferredcites →https://doi.org/10.1016/j.jmrt.2021.03.061openalex-snapshot
Numerical modelling and experimental validation of the effect of ultrasonic melt treatment in a direct-chill cast AA6008 alloy billet
inferredcites →https://doi.org/10.1016/j.jmst.2021.06.072openalex-snapshot
Using multiple regression analysis to predict directionally solidified TiAl mechanical property
inferredcites →https://doi.org/10.1016/j.msea.2005.09.056openalex-snapshot
Modeling of macrosegregation in direct-chill casting of aluminum alloys: Estimating the influence of casting parameters
inferredcites →https://doi.org/10.1016/j.pnsc.2019.01.007openalex-snapshot
Numerical modeling of annular electromagnetic stirring with intercooling in direct chill casting of 7005 aluminum alloy billet
inferredcites →https://doi.org/10.1016/j.pnsc.2021.05.003openalex-snapshot
Prediction of grain structure in direct-chill cast Al–Zn–Mg–Cu billets using cellular automaton-finite element method
inferredcites →https://doi.org/10.1016/s1003-6326(14)63364-1openalex-snapshot
Effect of electromagnetic field on microstructure and macrosegregation of flat ingot of 2524 aluminium alloy
inferredcites →https://doi.org/10.1016/s1003-6326(18)64738-7openalex-snapshot
Numerical simulation for macrosegregation in direct-chill casting of 2024 aluminum alloy with an extended continuum mixture model
inferredcites →https://doi.org/10.1016/s1003-6326(20)65451-6openalex-snapshot
Prediction of hot tearing susceptibility of direct chill casting of AA6111 alloys via finite element simulations
inferredcites →https://doi.org/10.1049/iet-cta.2012.0171openalex-snapshot
Coupled‐least‐squares identification for multivariable systems
inferredcites →https://doi.org/10.1080/03019233.2015.1104071openalex-snapshot
Numerical simulation of solidification structure during electroslag remelting casting of ZG06Cr13Ni4Mo ingot based on CAFE and moving boundary method
inferredcites →https://doi.org/10.1109/access.2020.2969498openalex-snapshot
Spatial and Sequential Deep Learning Approach for Predicting Temperature Distribution in a Steel-Making Continuous Casting Process
inferredcites →https://doi.org/10.1109/access.2022.3192541openalex-snapshot
Quality Prediction of Continuous Casting Slabs Based on Weighted Extreme Learning Machine
inferredcites →https://doi.org/10.1179/1743281215y.0000000011openalex-snapshot
Numerical simulation of solidification structure of 6.5 wt-%Si steel ingot slab
inferredcites →https://doi.org/10.14288/1.0078871openalex-snapshot
Mathematical modeling of the evolution of thermal field during start-up phase of the direct chill casting process for AA5182 sheet ingots
inferredcites →https://doi.org/10.3390/pr9010033openalex-snapshot
Multiscale Convolutional and Recurrent Neural Network for Quality Prediction of Continuous Casting Slabs
inferredcites →https://doi.org/10.3390/s23156719openalex-snapshot
Machine-Learning Algorithms for Process Condition Data-Based Inclusion Prediction in Continuous-Casting Process: A Case Study
inferredcites →https://doi.org/10.33915/etd.9965openalex-snapshot
Thermal stress prediction for direct-chill casting of a high strength aluminum alloy.
inferredcites →https://doi.org/10.4028/www.scientific.net/msf.877.78openalex-snapshot
Evaluation on the Accuracies of Sump Depth Measurements during DC Casting Process of 7050 Alloy

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inferred← citeshttps://doi.org/10.3390/a19100826openalex-snapshot
Machine Learning-Based Prediction and Interpretation of Hot-Tearing Susceptibility in Al–Zn–Mg Alloys for Direct-Chill Casting Process Optimization
inferred← citeshttps://doi.org/10.3390/applmech6030053openalex-snapshot
Investigation of the Hydrostatic Pressure Effect on the Formation of Hot Tearing in the AA6111 Alloy During Direct Chill Casting of Rectangular Ingots
inferred← citeshttps://doi.org/10.3390/cryst15010058openalex-snapshot
Macro-/Microstructural Features and Temperature Distribution of Pure Aluminum 1070 in Novel Thin Slab Continuous Casting Process
inferred← citeshttps://doi.org/10.3390/encyclopedia6060134openalex-snapshot
Digital Tools in Aluminum Alloy Processing
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