Published October 28, 2026 | Version v1

Finite-element dataset for generative inverse design of induction line-heating processes for steel plates

Authors/Creators

  • 1. ROR icon Jiangsu University of Science and Technology

Description

This dataset supports research on generative inverse design of induction line-heating processes for steel plates. It contains 22,620 finite-element simulation cases covering five rectangular plate geometries and one to three heating lines. Each sample provides a target three-dimensional nodal displacement field, heating-line count and positions, temperature–speed class labels, and plate geometry. The archive includes initial plate point-cloud templates, sample metadata, and the original_forward training, validation, and test split used in the reported experiments (18,094/2,259/2,267 cases). Field definitions, units, and usage instructions are provided in the accompanying README.

Files

inverse_design_dataset.zip

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