Speaker
Description
The evolution of microstructure, reaction kinetics, and thermal and mass transport is tightly coupled when designing industrial sintering programs. For aluminosilicate systems, used for white-tiles and structural ceramics, densification is highly sensitive to local heterogeneities and thermal phenomena near the onset of liquid-phase formation. Under fast-firing conditions, high heating rates and short dwell times prevent local thermal-equilibration, influencing liquid-phase flow, pore-network percolation and decomposition reactions. While macroscopic kiln simulations were performed, the microscale activation of densification mechanisms and their upscaling into constitutive models are insufficiently understood [1]. Recent in-situ studies provide valuable insights but remain descriptive [2]. This work presents a data-driven framework that derives densification models from quantifiable in-situ experiments. Micrographs acquired via high-temperature environmental SEM (ESEM) of α-Al₂O₃ and soda-lime-silica glass samples at fast firing conditions are analyzed using automated image-analysis to quantify neck growth, particle rearrangement pore closure and liquid formation. The extracted descriptors are correlated with mass spectrometry and DSC–TGA data and implemented in a Dyssol flowsheet-simulation [3] to upscale sintering densification kinetics into stage-resolved industrial kiln models.
[1] Alves et al., JACerS 2023 [2] Bigeard et al., Materialia [3] Skorych et al., SoftwareX 12
| Professional Status of the Speaker | Doctoral or Master Student |
|---|---|
| Invitation letter for visa | No |
| Interest in submitting a paper in a special issue of | Advanced Engineering Materials (Wiley) |
