Edge delamination width prediction of 3D body‐in‐white part by finite element‐based corrosion simulation and neural networks

Abstract

AbstractThe edge corrosion simulation of Kapfer et al. is used to extract time‐dependent delamination widths of metal sheet edges with different spatial orientations, encoded by edge classes and angular displacements with respect to the ground. The corrosion behavior of the edges of a body‐in‐white part is examined with respect to the spatial orientation and compared to the simulated delamination widths, demonstrating that the edge corrosion simulation is also able to model more complex structures. Since scaling the finite element method‐based corrosion simulation to the whole part requires a lot of memory and computational time, different neural network types are evaluated to predict the delamination widths. Together with the geometric properties of the part edges, a fast and accurate prediction of edge delamination of body‐in‐white parts is possible, requiring few time‐consuming corrosion simulations only in the training phase of the networks.