Rheometric data from rotational tests on magnetorheological silicones

DOI

This dataset provides rheometric data of magnetorheological (MR) silicones, i.e., mixtures of Polydimethylsiloxane (PDMS SGM36) and carbonyl iron powder. We characterized the viscous behavior of MR silicones at room temperature (i.e., T = 25 °C) as a function of carbonyl iron powder concentration and magnetic field strength using rotational (controlled shear rate and controlled shear stress) tests (Mezger, 2020). This dataset also provides the displacement and velocity fields of a simple experiment performed to test the use of magnetorheological silicones for experimental tectonics purposes. For a detailed description of sample preparation procedure, experimental setup and monitoring technique, as well as results interpretation, please refer to Brizzi et al. (under review).

Identifier
DOI https://doi.org/10.5880/fidgeo.2022.041
Related Identifier https://doi.org/10.1515/9783748603702
Related Identifier https://doi.org/10.1016/j.tecto.2015.11.028
Related Identifier http://hdl.handle.net/10852/10196
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7794
Provenance
Creator Brizzi, Silvia ORCID logo; Cavozzi, Cristian ORCID logo; Storti, Fabrizio ORCID logo
Publisher GFZ Data Services
Contributor Brizzi, Silvia; Cavozzi, Cristian; Storti, Fabrizio; Brizzi Silvia
Publication Year 2023
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Brizzi, Silvia (University of Parma, Department of Chemistry, Life Sciences and Environmental Sustainability, NEXT-Natural and Experimental Tectonics research group, Parma, Italy; University of Roma Tre, Department of Science, LET-Laboratory of Experimental Tectonics, Rome, Italy); Brizzi Silvia (University of Parma, Department of Chemistry, Life Sciences and Environmental Sustainability, NEXT-Natural and Experimental Tectonics research group, Parma, Italy; University of Roma Tre, Department of Science, LET-Laboratory of Experimental Tectonics, Rome, Italy)
Representation
Resource Type Dataset
Discipline Geospheric Sciences