Magnetic Patterning for Structural Analysis: Bridging Digital Image Correlation and Magneto-Mechanic

Graduate #371
Discipline: Technology and Engineering
Subcategory: civil/mechanical/industrial
Session: 2
Room: 3 - Hanover C

Tamia Bowers - University of Maryland, Baltimore County
Co-Author(s): Paris von Lockette



Digital Image Correlation (DIC) is an optical method used to measure displacements and strains over the surface of a material subjected to loads. This non-contact approach involves capturing images of a material’s surface before and after deformation to analyze and track the movement of points and patterns on the surface. This evaluative tool provides valuable data on deformation, strain distribution and material behavior. Magnetic DIC Mechanics combines the principles of DIC and magneto-mechanics to compute the deformation and mechanical response of materials using magnetic fields mapping. Rather than analyzing photographed motion of speckle patterns on a materials surface to track deformation, in the traditional sense of DIC, in magnetic DIC the movement of magnetic “speckles” embedded in a printed surface during additive manufacturing are instead captured. Using these data points, DIC mathematical techniques, extended to magnetic patterning, are used to analyze the resulting deformation and strain patterns. The combination of these approaches presents an interdisciplinary opportunity for researchers to investigate how magnetic patterning can be used to capture the mechanical response of materials, including their deformation, mechanical properties, and strain distribution, serving as a reliable technique of analyzing the structural health of parts. This translational study relies on conceptualizing the mechanics of magnetic DIC through the development of Finite Element Analysis (FEAs) using Multiphysics simulation software to generate varying testable geometries with randomized magnetic patterns, these geometries are then subjected to the three forms of stress- compression, bending, shear to collect data on their deformations. Magnetic field maps of current simulated models are generated prior to and post deformation and are then processed through a numerical computing environment to collate the maps, collecting computerized calculated data on the estimated stresses and strains examined by the movement of the magnetic pattern. Prospective studies aim to develop a more sophisticated system of generating magnetic patterns that relay a higher degree of precision when collecting mechanical response data by way of continued investigation of parametric influences of the current system.

Funder Acknowledgement(s): Financial support was provided by the U.S. National Science Foundation, Grant No. 2207374​

Faculty Advisor: Paris von Lockette, pvonlock@umbc.edu

Role: In this research project I am the principal researcher and my roles are; creating finite element models, developing simulations for magnetic modelling testing, processing simulation data, experimental setup