27 citations · 56 across the 6 of their papers we have counts for
6 papers
Scientific Machine Learning for Modeling and Simulating Complex Fluids
Kyle R. Lennon, Gareth H. McKinley, James W. Swan
The formulation of rheological constitutive equations -- models that relate internal stresses and deformations in complex fluids -- is a critical step in the engineering of systems…
A Data-Driven Method for Automated Data Superposition with Applications in Soft Matter Science
Kyle R. Lennon, Gareth H. McKinley, James W. Swan
The superposition of data sets with internal parametric self-similarity is a longstanding and widespread technique for the analysis of many types of experimental data across the ph…
Medium Amplitude Parallel Superposition (MAPS) Rheology of a Wormlike Micellar Solution
Kyle R. Lennon, Gareth H. McKinley, James W. Swan
The weakly nonlinear rheology of a surfactant solution of wormlike micelles is investigated from both a modeling and experimental perspective using the framework of medium amplitud…
The Medium Amplitude Response of Nonlinear Maxwell-Oldroyd Type Models in Simple Shear
Kyle R. Lennon, Gareth H. McKinley, James W. Swan
A general framework for Maxwell-Oldroyd type differential constitutive models is examined, in which an unspecified nonlinear function of the stress and rate-of-deformation tensors…
Medium Amplitude Parallel Superposition (MAPS) Rheology, Part 2: Experimental Protocols and Data Analysis
Kyle R. Lennon, Michela Geri, Gareth H. McKinley +1
An experimental protocol is developed to directly measure the new material functions revealed by medium amplitude parallel superposition (MAPS) rheology. This experimental protocol…
Medium Amplitude Parallel Superposition (MAPS) Rheology, Part 1: Mathematical Framework and Theoretical Examples
Kyle R. Lennon, Gareth H. McKinley, James W. Swan
A new mathematical representation for nonlinear viscoelasticity is presented based on application of the Volterra series expansion to the general nonlinear relationship between she…