A study on prediction of bead height in robotic arc welding using a neural network

Journal of Materials Processing Technology

Volumn 130-131, Issue , 2002, Pages 229-234

  Kim, Il Soo ^a,b   Son, J S ^a   Park, C E ^a   Lee, C W ^a   Prasad, Yarlagadda K D V ^b  

^a Mokpo National University   (South Korea)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Bead height; Method of least squares; Multi pass welding; Neural network; Process parameters; Weldability

Indexed keywords

ALGORITHMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; ROBOT APPLICATIONS;

MULTI-PASS WELDING;

ELECTRIC ARC WELDING;

EID: 0037147023     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-0136(02)00803-8     Document Type: Conference Paper

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