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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 Multi-modal Foundational Thermal Model for LPBF Part Reconstruction
Author(s) Peter Myung-Won Pak, Amir Barati Farimani
On-Site Speaker (Planned) Peter Myung-Won Pak
Abstract Scope This work explores a method for predicting porosity through the reconstruction of a given part using melt pool temperature fields generated using a surrogate model. For this task a series of melt pool simulations were conducted using FLOW-3D with varying process parameters such as power, velocity, and incident angle. The simulations are utilized as training data for the surrogate model designed to produce melt pool temperature field prediction from select process parameters and top down melt pool images. Using the provided scan path, a reconstruction of the part is built with the predicted melt pool temperature field, highlighting potential areas of unfused powder resulting in porosity. Experimental computed tomography samples provide the ground truth to evaluate the system’s ability to reconstruct porosity mapping for the same part.
Proceedings Inclusion? Undecided

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