Data underlying the PhD thesis: "Ceramic membranes for industrial wastewater treatment: Fabrication, membrane fouling and fouling characterization"

DOI:10.4121/f2f7d4cb-45a3-4273-bfdd-f3f1af3d48ff.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/f2f7d4cb-45a3-4273-bfdd-f3f1af3d48ff

Datacite citation style

Qin, Guangze; Rietveld, Luuk C.; Heijman, Bas (2025): Data underlying the PhD thesis: "Ceramic membranes for industrial wastewater treatment: Fabrication, membrane fouling and fouling characterization". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/f2f7d4cb-45a3-4273-bfdd-f3f1af3d48ff.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset supports the doctoral thesis titled "Ceramic membranes for industrial wastewater treatment: Fabrication, membrane fouling and fouling characterization." It contains experimental data from laboratory-scale filtration tests focused on the development and performance evaluation of ceramic ultrafiltration membranes (SiC and Al₂O₃) for the treatment of complex industrial oily and laundry wastewaters. The study integrates materials engineering and membrane technology, with emphasis on membrane fabrication using low-pressure chemical vapor deposition and the investigation of fouling behavior under various operating conditions. Data were generated from membrane filtration experiments and characterization techniques, including scanning electron microscopy and other in-situ methods. The dataset includes both raw and processed results related to membrane properties, fouling mechanisms, and DLVO/XDLVO model-based fouling predictions.

History

  • 2025-06-12 first online, published, posted

Publisher

4TU.ResearchData

Format

xlsx, PDF, spm, text, m, mlx, xy

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management

DATA - under embargo

The files in this dataset are under embargo until 2026-06-30.

Reason

Some data have not yet been published in a peer-reviewed journal.