In this section
@article{Zhou:2025:10.1016/j.aei.2025.103458,
author = {Zhou, H and Zhao, Y and Li, H and Pfaff, T and Li, N},
doi = {10.1016/j.aei.2025.103458},
journal = {Advanced Engineering Informatics: the science of supporting knowledge-intensive activities},
title = {A multi-level graph-based surrogate model for real-time high-fidelity sheet forming simulations},
url = {http://dx.doi.org/10.1016/j.aei.2025.103458},
volume = {66},
year = {2025}
}
TY - JOUR
AB - Surrogate models with structured data representations, mainly images and graphs, have been widely investigated in various domains, including automotive manufacturing. Despite advances, existing approaches still face significant challenges in terms of accuracy, efficiency, and generalisability. To address these challenges, a promising direction is to combine the advantages of both images and graphs. This study proposes a graph-based surrogate model, which has a multi-level architecture with enhanced graph convolutional operations using image-inspired spatial edge weights. To evaluate its performance, three additional graph-based surrogate models are developed for comparison, each differing in the formulation of spatial edge weights. All four models are assessed on a real-world hot-stamping B-pillar case study, which involves variations in blank shapes under multiple parameterisations and post-stamped thickness distributions exhibiting complicated local patterns. The proposed architecture significantly outperforms the three comparison models, achieving high accuracy with a relatively low computational burden during training and deployment. Furthermore, it demonstrates strong robustness in hyperparameter calibration and shows the potential for generalisation to other manufacturability-related real-time simulation problems. This study presents an effective methodology for future surrogate model development by integrating the advantages of different structured data representations.
AU - Zhou,H
AU - Zhao,Y
AU - Li,H
AU - Pfaff,T
AU - Li,N
DO - 10.1016/j.aei.2025.103458
PY - 2025///
SN - 0954-1810
TI - A multi-level graph-based surrogate model for real-time high-fidelity sheet forming simulations
T2 - Advanced Engineering Informatics: the science of supporting knowledge-intensive activities
UR - http://dx.doi.org/10.1016/j.aei.2025.103458
UR - https://doi.org/10.1016/j.aei.2025.103458
VL - 66
ER -