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About this Abstract
Meeting 2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
Symposium 2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
Presentation Title Symbolic Regression for Infrared Camera and Pyrometer Calibration in Wire-Arc Additive Manufacturing
Author(s) William Mason Werner, Thomas Mann, Yousub Lee, Yukinori Yamamoto, Bradley H. Jared
On-Site Speaker (Planned) William Mason Werner
Abstract Scope Wire-arc additive manufacturing (WAAM) processes have limited capability to control the material properties of deposited material. Real-time control of microstructural evolution in WAAM-produced parts requires that transient temperature gradients within parts can be predicted from deposited heat input and measured surface temperatures. A FLIR A50 thermal camera and an Omega OS37-10-K-HIE infrared pyrometer were used to capture infrared emissions during 410SS WAAM prints for use as boundary conditions in the computational modelling of three-dimensional thermal gradients within deposited material. Calibrations for the thermal camera and pyrometer mitigating the influence of part emissivity, geometry, material, and surface condition were generated using symbolic regression in Python to relate raw infrared data and part surface temperature. Calibrated measurements from both the infrared thermal camera and infrared pyrometer were compared under various conditions. Influences of viewing angle, soot presence, surface geometry, and surface reflectivity on resultant measurements are all considered in this evaluation.
Proceedings Inclusion? Undecided

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