Dataset underlying the publication: Predicting and Improving the Mechanical Strength of Outer-Skinned Hollow Fiber Membranes

Dataset underlying the publication: Tjerk R. Watt, Esra te Brinke, Joris de Grooth, and Wiebe M. de Vos, Predicting and Improving the Mechanical Strength of Outer-Skinned Hollow Fiber Membranes, ACS Applied Engineering Materials, (2026), DOI: 10.1021/acsaenm.6c00029. In this work, it was investigated whether a model for predicting the collapse pressure of isotropic thin-walled cylinders was able to accurately predict the collapse pressure of pressure driven outer-skinned hollow fiber (HF) membranes. Furthermore, it was also investigated if the addition of a selective layer coating, in the form of a polyelectrolyte multilayer (Poly(allylamine hydrochloride) and sodium poly(styrenesulfonate)), would be able to affect the mechanical properties of the membrane. To this end, HF membranes with different dimensions and porosities were fabricated and their morophology, mechanical properties and filtration properties of the coated and uncoated samples were analyzed. Therefore, the morphology and dimensions of the membranes were analyzed through SEM imaging. The filtration properties were measured through cross-flow experiments. From these cross-flow experiments the magnesium sulfate retention was determined using conductometry, and polyethylene glycol retention with the membranes molecular weight cut-off were determined through gel permeation chromatography. The mechanical properties were determined through unixaxial tensile test experiments and burst and collapse pressure measurements. Furthermore, the viscosity of the different polymer solutions, used to fabricate the membranes with different porosities was measured. Finally, the data of the collapse and burst pressures was compared to two different models. One for the elastic collapse pressure of the membranes, and one for the plastic collapse/burst pressure of the membranes. This dataset contains all relavent data for the study. More information on the data and experiments conducted can be found in the README.txt file included or in the publication.