Litcius/Paper detail

In-process acoustic pore detection in milling using deep learning

Daniel Gauder, Michael Biehler, Johannes Gölz, Volker Schulze, Gisela Lanza

2022CIRP journal of manufacturing science and technology14 citationsDOI

Topics & Concepts

MachiningProcess (computing)Materials scienceAcoustic emissionDomain (mathematical analysis)AcousticsMechanical engineeringComputer scienceEngineeringComposite materialMetallurgyMathematicsPhysicsOperating systemMathematical analysisAdditive Manufacturing Materials and ProcessesThermography and Photoacoustic TechniquesWelding Techniques and Residual Stresses
In-process acoustic pore detection in milling using deep learning | Litcius