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Huella Térmica Potenciada por IA: Predicción de la Resistencia a la Tracción del PLA Mediante Imágenes de Schlieren
Mason Corey1, Kyle Weber1, Babak Eslami1
1Mechanical Engineering Department, Widener University, Chester, PA 19013, USA.
Este estudio presenta la huella térmica, un método de bajo costo y no destructivo que utiliza imágenes de Schlieren Orientadas al Fondo (BOS) y aprendizaje automático para predecir la resistencia a la tracción en impresiones de modelado por deposición fundida (FDM) en tiempo real. El marco permite el aseguramiento de calidad sobre la marcha para la fabricación aditiva.
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