Modeling and prediction of erosion response of glass reinforced polyester-flyash composites

Journal of Reinforced Plastics and Composites

Volumn 28, Issue 5, 2009, Pages 513-536

  Patnaik, Amar ^a   Satapathy, Alok ^b   Mahapatra, S S ^b   Dash, R R ^c  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^c GIET UNIVERSITY   (India)

Author keywords

Erosion rate; Flyash; Glass fiber; Neural networks; Taguchi method

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; CONTROL NONLINEARITIES; FIBERS; GLASS FIBERS; MATHEMATICAL MODELS; NEURAL NETWORKS; TAGUCHI METHODS;

ARTIFICIAL NEURAL NETWORKS; COMPLEX SURFACES; DEGREE OF NONLINEARITIES; EFFECTIVE TOOLS; EROSION DAMAGES; EROSION PROCESS; EROSION RATE; EROSION WEARS; FIBER REINFORCED COMPOSITES; FLYASH; GLASS FIBER-REINFORCED POLYESTERS; MATERIAL LOSS; MATERIAL PROPERTIES; OPERATIONAL CONDITIONS; PARTICLE KINETIC ENERGIES; POLYMER COMPOSITES; PREDICTIVE EQUATIONS; SOLID PARTICLE EROSIONS; SOLID PARTICLE IMPACTS; TAGUCHI EXPERIMENTAL DESIGNS; TEST CONDITIONS; WEAR RESPONSE;

EROSION;

EID: 61449109058     PISSN: 07316844     EISSN: 15307964     Source Type: Journal    
DOI: 10.1177/0731684407085644     Document Type: Article

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