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Development of A Physics-Informed Melt Pool Model For Porosity Prediction in Additive Manufacturing by kemal.aydn2506 is a document available to read on EtoBox.

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This research article presents a physics-informed computational framework for predicting porosity in Ti-6Al-4V parts produced by Powder Bed Fusion-Laser Beam (PBF-LB) additive manufacturing. The developed model effectively resolves transient thermal fields and melt pool dynamics, demonstrating strong consistency with experimental data on porosity. The framework offers a reliable and efficient tool for optimizing process parameters and enhancing the quality of additive manufacturing components prior to produ

Author

kemal.aydn2506

Language

EN