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Please use this identifier to cite or link to this item: http://idr.iitbbs.ac.in/jspui/handle/2008/414
Title: Design of an ideal grain-refiner alloy for Al-7Si alloy using artificial neural networks
Authors: Reddy N.S.
Prasada Rao A.K.
Krishnaiah J.
Chakraborty M.
Murty B.S.
Keywords: Al-7Si alloy
artificial neural networks
grain refinement
grain refiners
sensitivity analysis
Issue Date: 2013
Citation: 7
Abstract: An ideal grain refiner has been designed for Al-7Si alloy by performing sensitivity analysis of trained artificial neural network (ANN) model. An ANNs model has been developed for solving these complex grain refinement phenomena in Al-7Si alloy. The model predictions and the analysis are well in agreement with the experimental results and existing metallurgical facts. Uncertainty in predictions helped in finding a new phenomenon at lower addition levels of grain refiner. � 2012 ASM International.
URI: http://dx.doi.org/10.1007/s11665-012-0334-9
http://10.10.32.48:8080/jspui/handle/2008/414
Appears in Collections:Research Publications

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