An artificial neural network approach for the control of the laser milling process

International Journal of Advanced Manufacturing Technology

Volumn 66, Issue 9-12, 2013, Pages 1777-1784

  Campanelli, S L ^a   Casalino, G ^a   Ludovico, A D ^a   Bonserio, C ^b  

^a POLITECNICO DI BARI   (Italy)

^b Centro Laser   (Italy)

Author keywords

Ablation depth; ANN modeling; Laser milling; Velocity and pulse frequency optimization

Indexed keywords

ABLATION DEPTH; ANN MODELING; ARTIFICIAL NEURAL NETWORK APPROACH; BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BPANN); EXPERIMENTAL CAMPAIGN; OPTIMAL MACHINING PARAMETERS; PULSE FREQUENCIES; TRAINED NEURAL NETWORKS;

ABLATION; ALGORITHMS; COMPUTER AIDED DESIGN; DAMAGE DETECTION; LASER ABLATION; LASER BEAMS; MACHINING CENTERS; MECHANICAL ALLOYING; NEURAL NETWORKS; OPTIMIZATION;

MILLING (MACHINING);

EID: 84879102299     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-012-4457-9     Document Type: Article

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