Modelling of wrinkling in deep drawing of different grades of annealed commercially pure aluminium sheets when drawn through a conical die using artificial neural network

Materials and Design

Volumn 30, Issue 8, 2009, Pages 3193-3205

  Sivasankaran, S ^a   Narayanasamy, R ^a   Jeyapaul, R ^a   Loganathan, C ^b  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b SARANATHAN COLLEGE OF ENGINEERING   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; CONICAL DIE; CYLINDRICAL CUPS; DEEP-DRAWING PROCESS; EXPERIMENTAL DATA; FEEDFORWARD BACKPROPAGATION; GEOMETRY FEATURES; PURE ALUMINIUM; SURFACE FAILURE;

ALUMINUM; BACKPROPAGATION; DEEP DRAWING; DIES; MECHANICAL PROPERTIES; PAPER SHEETING;

NEURAL NETWORKS;

EID: 67349176000     PISSN: 02641275     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matdes.2009.01.020     Document Type: Article

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