Litcius/Paper detail

Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning

Ziyad Smoqi, Aniruddha Gaikwad, Benjamin Bevans, Md Humaun Kobir, James E. Craig, Alan Abul-Haj, Alonso Peralta, Prahalada Rao

2022Journal of Materials Processing Technology115 citationsDOIOpen Access PDF

Topics & Concepts

PorosityPyrometerConvolutional neural networkCuboidArtificial intelligenceMaterials scienceArtificial neural networkMachine learningComputer scienceAlgorithmPattern recognition (psychology)Mechanical engineeringEngineeringPhysicsComposite materialTemperature measurementQuantum mechanicsAdditive Manufacturing Materials and ProcessesWelding Techniques and Residual StressesAdditive Manufacturing and 3D Printing Technologies
Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning | Litcius