Prediction of the power supplied in friction-based joining process of metal-polymer hybrids through machine learning
Francesco Lambiase, V. Grossi, Silvia Ilaria Scipioni, A. Paoletti
Topics & Concepts
Materials scienceProcess (computing)Reliability (semiconductor)Power (physics)Mechanical engineeringMachine toolRotational speedGeneralizationRotation (mathematics)Computer scienceArtificial intelligenceEngineeringMathematicsMetallurgyMathematical analysisPhysicsQuantum mechanicsOperating systemAdvanced Welding Techniques AnalysisWelding Techniques and Residual StressesMechanical stress and fatigue analysis