Machine Learning
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Optimization of process parameters in explosive welding using machine learning
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Materials Joining and Manufacturing Processes – MJMP 2025
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Optimizing parameter selection for machine learning models to predict coating characteristics in cold spray processes on polymeric materials
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An analytical predictor machine learning corrector scheme for modeling lateral flow in hot strip rolling
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Determination of a machine learning constitutive model from biaxial tensile test: application to thermal forming limits prediction of AA6061 sheets from shear to equi-biaxial tension
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Evaluating the impact of 3D constitutive models on predictive performance of xgboost for material parameter identification
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Uncertainty analysis in sheet metal forming processes: Troubleshooting with machine learning
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Integrating stochastic effects and uncertainties into inverse analysis of hot bulk forging processes through automated API-driven finite element simulations and machine learning
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Data driven prognosis of clinch joints in multi-material design
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Optimization of friction stir welding parameters for steel joints in shipbuilding using machine learning and finite element analysis
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AI supported process optimisation in a multi-material cup backward extrusion process chain