Design of an Ideal Grain-Refiner Alloy for Al-7Si Alloy Using Artificial Neural Networks

Design of an Ideal Grain-Refiner Alloy for Al-7Si Alloy Using Artificial Neural Networks

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 agr...

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Veröffentlicht in:Journal of materials engineering and performance 2013-03, Vol.22 (3), p.696-699
Hauptverfasser: Reddy, N. S., Prasada Rao, A. K., Krishnaiah, J., Chakraborty, M., Murty, B. S.
Format: Artikel
Sprache:eng
Schlagworte:
Characterization and Evaluation of Materials
Chemistry and Materials Science
Corrosion and Coatings
Engineering Design
Materials Science
Quality Control
Reliability
Safety and Risk
Tribology
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Zusammenfassung: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.
ISSN:1059-9495
1544-1024
DOI:10.1007/s11665-012-0334-9