Using genetic algorithm-back propagation neural network prediction and finite-element model simulation to optimize the process of multiple-step incremental air-bending forming of sheet metal

Materials and Design

Volumn 31, Issue 1, 2010, Pages 267-277

  Fu, Zemin ^a   Mo, Jianhua ^a   Chen, Lin ^b   Chen, Wei ^b  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Sany Heavy Industry Co Ltd   (China)

Author keywords

Finite element simulation; Genetic algorithm; Incremental air bending forming of sheet metal; Process optimization design

Indexed keywords

AVERAGE ERRORS; BACK-PROPAGATION NEURAL NETWORKS; BENDING EXPERIMENTS; BEST FIT; ENGINEERING PROBLEMS; FEM SIMULATIONS; FINITE-ELEMENT MODELS; FINITE-ELEMENT SIMULATION; FORMING PROCESS; GEOMETRICAL PARAMETERS; HIGH EFFICIENCY; INCREMENTAL AIR-BENDING FORMING OF SHEET METAL; NEW APPROACHES; PREDICTION MODEL; PROCESS OPTIMIZATION DESIGN; PUNCH DESIGN; PUNCH RADIUS; SIMULATION OPTIMIZATION; THREE-LAYER; WORK PIECES;

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; DESIGN; ERRORS; FINITE ELEMENT METHOD; GENETIC ALGORITHMS; MATHEMATICAL MODELS; METALS; NEURAL NETWORKS; OPTIMIZATION; PROCESS CONTROL; PROCESS DESIGN; SHEET METAL; SIMULATORS; THREE DIMENSIONAL;

BENDING (FORMING);

EID: 69549084456     PISSN: 02641275     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matdes.2009.06.019     Document Type: Article

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