An analysis of formability of aluminium preforms using neural network

Journal of Materials Processing Technology

Volumn 205, Issue 1-3, 2008, Pages 272-282

  Poshal, G ^a   Ganesan, P ^b  

^a JNTUH COLLEGE OF ENGINEERING   (India)

^b JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY   (India)

Author keywords

Neural network; Powder preforms; Sintered aluminium; Upsetting

Indexed keywords

ASPECT RATIO; FORMABILITY; NEURAL NETWORKS; PREFORMING; SINTERING; UPSETTING (FORMING);

ALUMINIUM PREFORMS; SINTERED ALUMINIUM; STRESS RATIO PARAMETER;

ALUMINUM;

EID: 44749089232     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2007.11.107     Document Type: Article

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