Litcius/Paper detail

Artificial neural network-based prediction model of residual stress and hardness of nickel-based alloys for UNSM parameters optimization

Jan Sembiring, Auezhan Amanov, Young Sik Pyun

2020Materials Today Communications34 citationsDOI

Topics & Concepts

Residual stressMaterials scienceArtificial neural networkMean squared errorResidualResponse surface methodologyHardnessProcess (computing)Ultrasonic sensorStress (linguistics)Biological systemComputer scienceComposite materialArtificial intelligenceMachine learningAlgorithmAcousticsMathematicsStatisticsPhysicsPhilosophyLinguisticsOperating systemBiologySurface Treatment and Residual StressErosion and Abrasive MachiningAdvanced Machining and Optimization Techniques