Measuring Bulk Crystallographic Texture from Ti-6Al-4V Hot-Rolled Sample Matrices using Sy

A dataset of synchrotron X-ray diffraction analysis files from Christopher Stuart Daniel at the University of Manchester. It records the refinement of crystallographic texture from 93 Ti-6Al-4V hot-rolled sample matrices, cut along three orthogonal directions. The work aimed to quantify bulk macro-texture for both the α and β phases across different processing conditions.

Use Cases

• Training machine learning models to predict crystallographic texture based on hot-rolling temperature and reduction parameters mentioned in the description.
• Developing image analysis algorithms for processing averaged diffraction pattern .tiff images described in the dataset.
• Benchmarking texture quantification methods for both hexagonal close packed and body-centred cubic phases in titanium alloys.
• Analyzing the relationship between sample orientation (rolling, transverse, normal directions) and measured bulk texture.

Strengths

• Contains data from 93 distinct hot-rolled Ti-6Al-4V samples, providing a range of processing conditions.
• Includes analysis from three orthogonal sample directions (RD, TD, ND), enabling bulk texture calculation.
• Data collection used a high-energy 90 keV synchrotron beam with a 0.5 x 0.5 mm area to resolve both α and β phase peaks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Manchester

Collection Method

Data recorded using synchrotron X-ray diffraction at a high-energy beamline, with post-processing via Python notebooks.

Time Range

unknown

Freshness

unknown

Geography

unknown