Predicting the ultimate tensile strength of AISI 1045 steel and 2017-T4 aluminum alloy joints in a laser-assisted rotary friction welding process using machine learning: a comparison with response surface methodology
Germán Barrionuevo, José Luis Mullo, Jorge Ramos‐Grez
Topics & Concepts
WeldingMaterials scienceResponse surface methodologyUltimate tensile strengthRotational speedMechanical engineeringSupport vector machineFriction weldingLaser power scalingPerceptronGradient boostingAlloyStructural engineeringComposite materialComputer scienceRandom forestLaserArtificial neural networkMachine learningEngineeringPhysicsOpticsAdvanced Welding Techniques AnalysisWelding Techniques and Residual StressesNon-Destructive Testing Techniques