Titanium Alloy Turning Data for Surface Roughness Analysis

Tanujai Navaneethan's dataset contains experimental results from 45 physical turning tests on Ti-6Al-4V alloy. The research aimed to determine optimum cutting parameters for surface roughness and analyze chip morphology using coated carbide tools with three nose radii. Data was analyzed using Design Expert software to create 3D graphs and validate statistical models.

Use Cases

• Modeling the relationship between cutting parameters and surface roughness based on the described experimental design.
• Analyzing the effect of tool nose radius on surface finish quality as highlighted in the results.
• Studying chip morphology and entanglement patterns for difficult-to-machine materials like Ti-6Al-4V.
• Validating theoretical tool life models against experimental cutting speed, feed rate, and depth of cut data.

Strengths

• Dataset is based on 45 physical experimental analyses, providing a foundation for statistical validation.
• Experimental parameters are clearly defined, including three specific tool nose radii and ranges for cutting speed, feed rate, and depth of cut.
• Analysis includes ANOVA confirmation of statistical significance for key parameters like nose radius and feed rate.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 15.4 KB, indicating limited scope.

Provenance

Source

Tanujai Navaneethan via figshare

Collection Method

Experimental data gathered from turning tests on a Harrison M400 conventional lathe, with surface roughness measured using a Taylor Hobson Surtronic 3+ instrument.

Freshness

Last updated 2026-05-26 03:41:05; freshness should be verified.