Molecular Characterization of Thermoplastics with Melt Rheology
Thermoplastics are essential to modern materials engineering, prized for their versatility, recyclability, and broad range of applications. Their mechanical and thermal performance is tightly linked to molecular characteristics such as number-average, weight-average, and z-average molecular weight (Mn, Mw, Mz), as well as molecular weight distribution and chain architecture. While gel permeation chromatography (GPC) remains the conventional tool for analyzing molecular weight, it can be compromised by impurities, branching, and complex structures. To overcome these limitations, our team uses dynamic mechanical methods—including melt rheology and mechanical analysis—to probe molecular architecture and predict performance.
We are particularly focused on replicating the behavior of high-performance fluoropolymers using PFAS-free synthetic pathways. Our group combines mechanical testing, advanced tube modeling, and machine learning to quantify the similarity between PFAS-free candidates and legacy fluorinated thermoplastics. This integrated approach allows us to identify critical polymer synthesis parameters that preserve key mechanical properties and processability in the absence of PFAS-based surfactants or initiators.
For more, see our publication here.
Designing Printable Pastes for Energy Applications
Extrusion printing thermosetting binders with high particulate loading is an interesting, multidisciplinary problem that requires a strong grasp of particle dynamics, chemical kinetics, and viscoelasticity. To resolve adhesion mechanisms in molded, laminate molded, and 3D-printed materials, our group utilizes coupled rheology and infrared spectroscopy to understand the polymer dynamics that drive interfacial behavior. This problem is of interest to many industries, such as batteries, propellant, concrete, and pharmaceuticals.
For more on this technology, see our publication here.
Interfacial Design and Mechanical Testing
To pinpoint adhesive versus cohesive failure in laminate materials, the AML relies on digital image correlation in conjunction with universal tensile testing. By changing the interface history of 3D-printed thermosets, we can identify changes in strain field evolution by imaging specimens while they undergo tensile testing.
For more information on this technology, see our publication here.