Reddy, N. S. ; Prasada Rao, A. K. ; Krishnaiah, J. ; Chakraborty, M. ; Murty, B. S. (2013) Design of an ideal grain-refiner alloy for Al-7Si alloy using Artificial Neural Networks Journal of Materials Engineering and Performance, 22 (3). pp. 696-699. ISSN 1059-9495
Full text not available from this repository.
Official URL: https://link.springer.com/article/10.1007/s11665-0...
Related URL: http://dx.doi.org/10.1007/s11665-012-0334-9
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.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Springer-Verlag. |
| Keywords: | Al-7Si Alloy; Artificial Neural Networks; Grain Refinement; Grain Refiners; Sensitivity Analysis |
| ID Code: | 110907 |
| Deposited On: | 06 Dec 2017 11:04 |
| Last Modified: | 06 Dec 2017 11:04 |
Repository Staff Only: item control page
