Literature DB >> 25008187

A comprehensive constitutive law for waxy crude oil: a thixotropic yield stress fluid.

Christopher J Dimitriou1, Gareth H McKinley.   

Abstract

Guided by a series of discriminating rheometric tests, we develop a new constitutive model that can quantitatively predict the key rheological features of waxy crude oils. We first develop a series of model crude oils, which are characterized by a complex thixotropic and yielding behavior that strongly depends on the shear history of the sample. We then outline the development of an appropriate preparation protocol for carrying out rheological measurements, to ensure consistent and reproducible initial conditions. We use RheoPIV measurements of the local kinematics within the fluid under imposed deformations in order to validate the selection of a particular protocol. Velocimetric measurements are also used to document the presence of material instabilities within the model crude oil under conditions of imposed steady shearing. These instabilities are a result of the underlying non-monotonic steady flow curve of the material. Three distinct deformation histories are then used to probe the material's constitutive response. These deformations are steady shear, transient response to startup of steady shear with different aging times, and large amplitude oscillatory shear (LAOS). The material response to these three different flows is used to motivate the development of an appropriate constitutive model. This model (termed the IKH model) is based on a framework adopted from plasticity theory and implements an additive strain decomposition into characteristic reversible (elastic) and irreversible (plastic) contributions, coupled with the physical processes of isotropic and kinematic hardening. Comparisons of experimental to simulated response for all three flows show good quantitative agreement, validating the chosen approach for developing constitutive models for this class of materials.

Entities:  

Year:  2014        PMID: 25008187     DOI: 10.1039/c4sm00578c

Source DB:  PubMed          Journal:  Soft Matter        ISSN: 1744-683X            Impact factor:   3.679


  6 in total

1.  Rheology-Informed Neural Networks (RhINNs) for forward and inverse metamodelling of complex fluids.

Authors:  Mohammadamin Mahmoudabadbozchelou; Safa Jamali
Journal:  Sci Rep       Date:  2021-06-08       Impact factor: 4.379

2.  Digital rheometer twins: Learning the hidden rheology of complex fluids through rheology-informed graph neural networks.

Authors:  Mohammadamin Mahmoudabadbozchelou; Krutarth M Kamani; Simon A Rogers; Safa Jamali
Journal:  Proc Natl Acad Sci U S A       Date:  2022-05-11       Impact factor: 12.779

3.  A Thermodynamically Consistent, Microscopically-Based, Model of the Rheology of Aggregating Particles Suspensions.

Authors:  Soham Jariwala; Norman J Wagner; Antony N Beris
Journal:  Entropy (Basel)       Date:  2022-05-17       Impact factor: 2.738

Review 4.  Translational Applications of Hydrogels.

Authors:  Santiago Correa; Abigail K Grosskopf; Hector Lopez Hernandez; Doreen Chan; Anthony C Yu; Lyndsay M Stapleton; Eric A Appel
Journal:  Chem Rev       Date:  2021-05-03       Impact factor: 60.622

5.  Extreme Extensibility in Physically Cross-Linked Nanocomposite Hydrogels Leveraging Dynamic Polymer-Nanoparticle Interactions.

Authors:  Abigail K Grosskopf; Joseph L Mann; Julie Baillet; Hector Lopez Hernandez; Anton A A Autzen; Anthony C Yu; Eric A Appel
Journal:  Macromolecules       Date:  2022-08-16       Impact factor: 6.057

Review 6.  The Role of Structure in Polymer Rheology: Review.

Authors:  Valery G Kulichikhin; Alexander Ya Malkin
Journal:  Polymers (Basel)       Date:  2022-03-21       Impact factor: 4.329

  6 in total

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