Faster than real-time path-sensitive temperature modeling of wire-arc additive manufacturing by a data-driven finite volume method
Wire-arc additive manufacturing uses arc welding to build 3D objects by progressive
deposition of weld beads at high deposition rates. To minimize the distortion induced by the
moving heat source, a model for predicting the transient temperature fields as a function of
the deposition path is needed. This work proposes a new data-driven finite volume model
that combines the semi-discrete form of the energy balance with a temporal convolutional
neural network. Compared to recurrent neural networks, the model is energy-conserving …
deposition of weld beads at high deposition rates. To minimize the distortion induced by the
moving heat source, a model for predicting the transient temperature fields as a function of
the deposition path is needed. This work proposes a new data-driven finite volume model
that combines the semi-discrete form of the energy balance with a temporal convolutional
neural network. Compared to recurrent neural networks, the model is energy-conserving …
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