Forging Process Modeling via Multi-experiment Data

As forging processes require to working across a large operation region, input/output samples do not easily satisfy the requirement of data-driven modeling because of many practical constraints involved. This renders forging processes difficult to model accurately. In this chapter, an operation-region-decomposition-based SVD/NN modeling method is presented for modeling of this type of processes. Because the complexity of the system at the local region is much lower than the original system throughout the operation region, the required input signal for modeling at a local region is easier to obtain than the one suitable for the whole region. An SVD/NN modeling method is then proposed to produce a low-order global model from these experiments at all local operation regions. The practical forging experiment finally demonstrates the effectiveness of the proposed method.

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