RSM Dataset: 100 Laser-Welded TC4 Titanium Alloy Samples

100 experimental samples from laser welding tests on TC4 titanium alloy using Response Surface Methodology. The dataset includes key process parameters and welding quality indicators, stored in CSV format for analysis. It was authored by Jian ZHANG and last updated on figshare in April 2026.

Use Cases

• Optimize laser welding process parameters based on the described experimental design.
• Establish predictive models for welding quality indicators mentioned in the description.
• Forecast mechanical properties of titanium alloy joints based on process data.
• Train machine learning models for manufacturing process control using the experimental results.

Strengths

• Contains 100 experimental samples from a designed RSM experiment.
• Explicitly includes both process parameters and welding quality indicators.
• Data is stored in CSV format for easy reuse in analysis and machine learning.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is limited to 100 samples, which may constrain model complexity.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Jian ZHANG via figshare.

Collection Method

Data from Response Surface Methodology (RSM) based laser welding experiments.

Time Range

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Freshness

Last updated 2026-04-10 23:47:55; freshness should be verified.

Geography

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