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Artificial neural network approach for mechanical properties prediction of TC4 titanium alloy treated by laser shock processing

Jiajun Wu, Zheng Huang, Hongchao Qiao, Yongjie Zhao, Jing‐Feng Li, Jibin Zhao

2021Optics & Laser Technology36 citationsDOI

Topics & Concepts

Materials scienceResidual stressVickers hardness testTitanium alloyShock (circulatory)Artificial neural networkLaserResidualComposite materialStress (linguistics)AlloyMean squared errorMicrostructureOpticsComputer scienceMachine learningAlgorithmMathematicsMedicineInternal medicinePhysicsLinguisticsPhilosophyStatisticsSurface Treatment and Residual StressDiamond and Carbon-based Materials ResearchLaser Material Processing Techniques
Artificial neural network approach for mechanical properties prediction of TC4 titanium alloy treated by laser shock processing | Litcius