Work

IMRFit: Interactive Simulation and Constitutive-Model Fitting for Inertial Microcavitation Rheometry

Year: 2026

Type: preprint

Abstract: Inertial microcavitation rheometry (IMR) characterizes the high-rate mechanical response of soft materials from the rapid expansion and collapse of a microscopic bubble. In a typical IMR experiment, high-speed imaging provides the bubble radius as a function of time, R(t), and material parameters are identified by comparing the measured response with simulations that couple bubble dynamics to a constitutive description of the surrounding medium. This inverse analysis requires repeated forward simulations and careful control of experimental inputs, material parameters, and fitting settings. IMRFit is an open-source Python desktop application that brings these steps into an interactive environment for forward simulation, parameter identification, and constitutive-model comparison. Users can import experimental radius-time data, select a bubble-dynamics formulation and constitutive model, inspect simulated responses, fit material parameters, and organize batch fitting and parameter-sweep jobs. IMRFit includes Neo-Hookean Kelvin-Voigt and generalized Maxwell-Ogden-based models, among other constitutive options, and supports additional models through JSON descriptors and Python solver entry points. It also integrates fitting-window selection, visualization, and data export into a single workflow.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.32119

Authors: Wang, Sicong, Tong, Zixiang, Yang, Jin

Institutions: The University of Texas at Austin, Texas Materials Institute

Language: English

Topic: Elasticity and Material Modeling

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Office of Naval Research, Division of Civil, Mechanical and Manufacturing Innovation, Army Research Office

Awards: G202663329, Collaborative Research: Integrated Experiments and Modeling for Spatial, Finite, and Fast Rheometry of Graded Hydrogels using Inertial Cavitation, CAREER: Understanding Fracture Propagation in Soft Viscoelastic Materials from Slow to Ultra-high Strain Rates and at Different Temperatures

OpenAlex ID: W7223680165

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