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Data Publication

Rheometric data from rotational tests on magnetorheological silicones

Brizzi, Silvia | Cavozzi, Cristian | Storti, Fabrizio

GFZ Data Services

(2023)

Descriptions

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).

Keywords


Originally assigned keywords
Rheology
Magnetorheology
Magnetorheological silicones
Rheometer
Silicone/Silly putty/PDSM
Analog modeling of geologic processes
Rheological properties of analog modeling materials
Non-newtonian behavior
Hershel-Bulkley fluids
viscosity
Yield stress
Viscous behavior
gravity-driven deformation
Particle Image Velocimetry
experimental tectonics
EPOS
multi-scale laboratories
Analog modeling
analog models
analogue modelling materials
Silicon/Silly putty/PDMS
Viscosity
stress exponent
EARTH SCIENCE > SOLID EARTH > TECTONICS

Corresponding MSL vocabulary keywords
rheometer
rheometer
viscosity
viscosity
yield strength
yield strength
particle image velocimetry (PIV)
analogue modelling
plastic flow law stress exponent
plastic flow law stress exponent

MSL enriched keywords
Apparatus
fluid transport testing
fluid rheology testing
rheometer
Apparatus
characterization of modelling material
rheology testing
rheometer
Measured property
viscosity
Measured property
viscosity
mechanical strength
yield strength
mechanical strength
yield strength
Software
digital image correlation (DIC)
particle image velocimetry (PIV)
analogue modelling
plastic flow stress
plastic flow law stress exponent
plastic flow strength
plastic flow law stress exponent
minerals
chemical elements
iron
analogue modelling material
granular modelling material
metalic powders
iron powder
viscous modelling material
synthetic viscous material
silicone
measured property
iron

MSL enriched sub domains i

rock and melt physics
analogue modelling of geologic processes
geochemistry


Source publisher

GFZ Data Services


DOI

10.5880/fidgeo.2022.041


Creators

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

ORCID:

https://orcid.org/0000-0002-5258-0495

Cavozzi, Cristian

University of Parma, Department of Chemistry, Life Sciences and Environmental Sustainability, NEXT-Natural and Experimental Tectonics research group, Parma, Italy

ORCID:

https://orcid.org/0000-0001-6472-1403

Storti, Fabrizio

University of Parma, Department of Chemistry, Life Sciences and Environmental Sustainability, NEXT-Natural and Experimental Tectonics research group, Parma, Italy

ORCID:

https://orcid.org/0000-0003-2809-9471


Contributors

Brizzi, Silvia

ContactPerson

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

ORCID:

https://orcid.org/0000-0002-5258-0495

Brizzi, Silvia

DataCollector

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

ORCID:

https://orcid.org/0000-0002-5258-0495

Brizzi, Silvia

DataCurator

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

ORCID:

https://orcid.org/0000-0002-5258-0495

Brizzi, Silvia

Researcher

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

ORCID:

https://orcid.org/0000-0002-5258-0495

Cavozzi, Cristian

Researcher

University of Parma, Department of Chemistry, Life Sciences and Environmental Sustainability, NEXT-Natural and Experimental Tectonics research group, Parma, Italy

ORCID:

https://orcid.org/0000-0001-6472-1403

Storti, Fabrizio

Researcher

University of Parma, Department of Chemistry, Life Sciences and Environmental Sustainability, NEXT-Natural and Experimental Tectonics research group, Parma, Italy

ORCID:

https://orcid.org/0000-0003-2809-9471

Storti, Fabrizio

Supervisor

University of Parma, Department of Chemistry, Life Sciences and Environmental Sustainability, NEXT-Natural and Experimental Tectonics research group, Parma, Italy

ORCID:

https://orcid.org/0000-0003-2809-9471

Brizzi Silvia

ContactPerson

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


References

10.1515/9783748603702

10.1016/j.tecto.2015.11.028

http://hdl.handle.net/10852/10196


Citation

Brizzi, S., Cavozzi, C., & Storti, F. (2023). Rheometric data from rotational tests on magnetorheological silicones [Data set]. GFZ Data Services. https://doi.org/10.5880/FIDGEO.2022.041


Dates

Issued:

2023


Rights

Creative Commons Attribution 4.0 International