Molecular Dynamics Simulation Data for Mg-Al Friction Stir Welding

Van-Thuc Nguyen created a dataset from molecular dynamics simulations investigating dissimilar Mg-Al friction stir welding. The data examines the effects of tool travel speed (500-2000 m/s), rotation speed, and pin geometry on atomic mixing, temperature zones up to 1000 K, and amorphous fractions up to 18.8%. The dataset was last updated on June 4, 2026.

Use Cases

• Training ML models to predict amorphous fraction based on tool speed and geometry parameters mentioned in the description
• Analyzing the relationship between atomic strain distribution and resulting high-temperature zones from simulation data
• Comparing the mechanical atomic mixing levels achieved by different tool pin geometries (rectangular prism, cone, triangular, tube)
• Validating molecular dynamics simulation outputs for friction stir welding processes

Strengths

• Dataset includes results from a controlled molecular dynamics simulation study with specific parameter ranges (travel speed 500-2000 m/s, rotation speed up to 12 rad/ps)
• Reports concrete quantitative outcomes such as a high-temperature zone up to 1000 K and an amorphous fraction of 18.8%
• Explicitly compares the effects of four distinct tool pin geometries on heating and stirring

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is derived from simulation, not physical experiments, which may limit real-world applicability

Provenance

Source

Van-Thuc Nguyen via figshare

Collection Method

Generated via molecular dynamics simulation of the friction stir welding process.

Freshness

Last updated 2026-06-04 17:40:19; freshness should be verified