Enabling Data-Driven Material Development and Simulation Validation in Light-Metal Structures Using Accessible Full-Field Strain Measurement

The development of modern light-metal structures increasingly depends on the quality of material data used to populate simulation models and material databases. As products grow in complexity, organizations must characterize and manage hundreds of distinct alloys, tempers, coatings, and bonded or formed subassemblies. In this context, traditional point-based testing methods often lack the spatial resolution required to capture strain localization, anisotropy, and boundary effects critical for generating reliable material cards for numerical simulation.

This paper examines how recent advances in imaging sensors, data-transfer standards, and general-purpose computing have reduced the cost and complexity of full-field digital image correlation (DIC), enabling broader adoption in material development workflows. Improvements in global-shutter CMOS sensors, including high-resolution 1/1.8″ formats such as the Sony IMX547, combined with USB-C and USB 3 Gen 1/Gen 2 bandwidth and modern laptop-class computing, allow compact systems such as ARAMIS 1 to deliver high-quality full-field strain data without specialized acquisition hardware.

An industrial case study from an autonomous vehicle manufacturer is presented, where full-field optical measurement is used across both raw-material characterization and subassembly-level testing. With more than 500 distinct materials and alloys present in a single vehicle platform, the organization applies full-field strain measurement during incoming inspection and development testing to validate material behavior, improve consistency of material cards, and strengthen correlation between experimental results and finite-element simulations.

The results demonstrate that recent technological advances have made full-field strain measurement a practical tool for systematic material understanding, supporting more reliable simulation, reduced model uncertainty, and faster iteration in light-metal product development.