Deep Drawing and Cutting Simulations (DDACS) Dataset

Each simulation captures the forming operation (OP10) and a subsequent cutting operation (OP20), with stress, strain, thickness, and nodal displacement fields at multiple timesteps including the configuration after springback. Each HDF5 file carries named scalar root attributes (geometry, curvature_radius, material_scaling_factor, friction_coefficient, sheet_metal_thickness, blank holder force, etc.) matching the columns of process_parameters.csv.

This CSV is the central index mapping every simulation to its parameters and a recommended ML train, test and val split. A single simulation file (258864.zip) is provided for fast preview without downloading the full corner packages. The dataset also includes a complementary RDDAC study covering intermediate geometric and process parameter combinations.

The HDF5 files use gzip and shuffle compression for compact downloads while remaining readable by standard tooling (h5py, MATLAB HDF5, Julia HDF5). The structured layout supports surrogate modeling, springback prediction, and machine learning benchmarks for sheet metal forming. The simulation provenance fields (program, tool deformability, model symmetries, material model, meshing, contact, etc.) follow the SIM-KAx schema (Schumann et al., Production Engineering, 2026) for cross-institution interoperability of forming-simulation datasets.