Laser Welding Deformation Data for TC4 Titanium Alloy Thin Plates

A 239.3 KB text file dataset for predicting deformation in laser-welded TC4 titanium alloy thin plates. The data was uploaded by Jian ZHANG to figshare and last updated on 2026-05-17. It is intended for use with an AAS-RBF neural network model.

Use Cases

• Training neural networks to predict welding deformation based on process parameters.
• Benchmarking the AAS-RBF neural network model against other predictive algorithms.
• Analyzing the relationship between laser welding inputs and material deformation in titanium alloys.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size of 239.3 KB suggests a focused, manageable scope for initial model development.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare, uploaded by Jian ZHANG.

Freshness

Last updated 2026-05-17 04:15:04; freshness should be verified.