Development of RSM- and ANN-based models to predict and analyze the effects of process parameters of laser-hardened commercially pure titanium on heat input and tensile strength

International Journal of Advanced Manufacturing Technology

Volumn 65, Issue 9-12, 2013, Pages 1319-1338

  Badkar, Duradundi Sawant ^a   Pandey, Krishna Shankar ^a   Buvanashekaran, G ^b  

^a MAULANA AZAD NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b BHARAT HEAVY ELECTRICALS LIMITED   (India)

Author keywords

ANN; Box Behnken; Heat input; LTH; Nd: YAG laser; RSM; Tensile strength

Indexed keywords

ARGON LASERS; BACKPROPAGATION; CHEMICAL EQUIPMENT; CHEMICAL INDUSTRY; CHEMICAL MODIFICATION; COOLING; CORROSION RESISTANCE; DESALINATION; FEEDFORWARD NEURAL NETWORKS; FLOW OF GASES; FORECASTING; HARDENING; HEAT RESISTANCE; MARINE APPLICATIONS; MULTILAYER NEURAL NETWORKS; NEODYMIUM LASERS; POLYNOMIALS; PREDICTIVE ANALYTICS; SEAWATER CORROSION; TITANIUM; WEAR RESISTANCE; YTTRIUM ALUMINUM GARNET;

BOX-BEHNKEN; COMMERCIALLY PURE TITANIUMS; HEAT INPUT; LASER TRANSFORMATION HARDENING; LEVENBERG MARQUARDT BACK PROPAGATION ALGORITHMS; MULTILAYER FEEDFORWARD NEURAL NETWORKS; ND : YAG LASERS; RESPONSE SURFACE METHODOLOGY;

TENSILE STRENGTH;

EID: 84880569991     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-012-4259-0     Document Type: Article

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