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Structure · dataset · 2026

Whisker-Driven Templated Grain Growth Enables [001]-Oriented Interlocking Microstructures and Phase Manipulation in Alumina-Mullite Fibres

Listed in Teesside University Research Data Repository

Research Hypothesis Alumina–mullite fibres are critical toughening agents for high-temperature structural materials in oxygen-rich environments; however, their mechanical properties are inherently limited by equiaxed grain structures.

Description

In this study, using mullite whiskers as templates, a sol-based dry-spinning process was employed to synthesise alumina–mullite fibres with an oriented, rod-like interlocking structure via templated grain growth (TGG).

We hypothesise that mullite whiskers can induce heterogeneous epitaxial growth in the fibre matrix during sintering, thereby promoting the formation of oriented rod-shaped grains and delaying the α-alumina phase transformation. This dataset characterises the phase composition, microstructure, and grain orientation of the synthesised fibres to elucidate the effects of whisker content on phase transformation and microstructural evolution.

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Data Content and Acquisition

Methods

This dataset comprises three categories of files derived from characterisation of the synthesised whiskers and alumina–mullite fibres: XRD Data: Raw files were collected using a D/max-3c diffractometer (Rigaku) at 40 kV and 100 mA with Cu Kα radiation. Analysed results include phase identification via HighScore Plus and quantitative phase ratios determined by RIR semiquantitative analysis. SEM Images: Microstructural images were acquired using an S-4800 field-emission SEM (Hitachi) at 15 kV, with EDS (Bruker) for elemental mapping.

Grain diameter and porosity measurements derived from these images are included. TEM Images: Nanostructural characterisation was performed using a JEM-2100F field-emission TEM (JEOL). Images reveal fine-scale morphology, crystal structure, and defects or interfaces within the fibres.

Key Findings and Data Interpretation Preliminary analysis confirms the target crystalline phases via XRD, with RIR analysis providing phase ratios correlated to processing parameters. SEM reveals fibre morphology and elemental composition, while TEM discloses grain boundaries, lattice fringes, and secondary phases or defects. Collectively, these data support the correlation between processing conditions, phase evolution, and microstructural development, and can be reused for comparative studies or validation of computational models.

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