Synopsis
Part One: Background and Fundamentals.- Introduction.- Literature Survey.- Part Two: Modelling for Forging Load and Processes.- Process/Shape-Decomposition Modeling for Deformation Force.- Online Probabilistic Extreme Learning Machine for Distribution Modeling of Batch Forging Processes.- Multi-level Parameter Identification Approach.- Multi-Experiment-Data Based SVD/NN Modeling Approach.- LS-SVM Modeling Method for a Hydraulic Press Forging Process with Multiple Localized Solutions.- Hybrid Model-Set/Data Online Modeling Approach for Time-Varying Forging.- Part Three: Dynamic Analysis for Forging Processes.- Model-based Dynamic Performance Analysis.- Closed-Loop Dynamic Performance Analysis.- Part Four: Intelligent Control for Complex Forging Processes.- System decomposition based multi-level control.- Intelligent integration control for Time-Varying Forging Process.- Conclusion.
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