DOI > 10.5291/ILL-DATA.9-11-2020

Please note

The full details of this dataset is not yet available to the public as it still under its embargo period. As such there are only a few details publically exposed. To find out more about how the ILL governs the release of data, please go here. Thank you for your understanding.

Title

Adsorbed Polymers under highly viscous flow

Abstract

In this study, we plan to understand the molecular mechanism underlying in the flow of semi-dilute polymer solutions near a solid interface. Thanks to velocimetry techniques based on photobleaching, we measured the slippage of semi dilute polymer solutions as a function of the volume fraction. The scaling law resulting from this measurements is consistent with two mechanisms: either there is a depletion layer, inducing inhomogeneities of concentrations close to the substrate; or polymer solutions are slipping with the same mechanism as melts at the scale of the bulk polymer correlation length. Neutron reflectivity measurements at rest have shown that polymer chains adsorb onto the substrate which play a major role in the stress transmission mechanism. Here we plan to study the influence of the shear of the polymer solution on the conformation of the surface chains. Such in-situ experiment combined with our slippage measurements should highlight the overall behaviour of polymer solutions flowing onto weakly adsorbing surfaces.

Experimental Report

Download Data

The data is currently only available to download if you are a member of the proposal team.

Download Data

Data Citation

The recommended format for citing this dataset in a research publication is in the following format:

CHENNEVIERE Alexis; DUDZINSKI Daniel; GUTFREUND Philipp; LAFON Suzanne; OUTERELO CORVO Tiago and Restagno. (2021). Adsorbed Polymers under highly viscous flow. Institut Laue-Langevin (ILL) doi:10.5291/ILL-DATA.9-11-2020

Cited by

This data has not been cited by any articles.

Metadata

Experiment Parameters

This data is not yet public

Sample Parameters

This data is not yet public