The benchmark dataset was generated through a comprehensive simulation study of the deep drawing process for DP600 sheet metal, incorporating variations in geometry, material properties, and process parameters. The simulations were based on the deep drawing of modified quadratic cups with a length of 210 mm and a drawing depth of 30 mm. Three distinct base geometries - Concave, Convex, and Rectangular - were derived from a rectangular reference shape, with key geometric parameters varied in two increments (minimum and maximum).

For each geometry, material and process parameters such as the hardening factor (MAT), friction coefficient (FC), sheet thickness (SHTK), and binder force (BF) were systematically varied, resulting in 32,076 unique simulations. Each simulation included stress, strain, thickness distribution, and nodal displacement data for the deep drawing and subsequent springback analysis.

The simulation data were stored in HDF5 format, with metadata linking each dataset to its corresponding geometry, material, and process parameters. This structured format ensures efficient retrieval and processing of simulation results, facilitating further analysis and benchmarking.

LS-Dyna, R14