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

  • Reddy, N. S.; 
  • Rao, A. K. Prasada; 
  • Krishnaiah, J.; 
  • Chakraborty, M.; 
  • Murty, B. S.
Citations

WEB OF SCIENCE

6
Citations

SCOPUS

9

초록

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.

키워드

Al-7Si alloy; artificial neural networks; grain refinement; grain refiners; sensitivity analysis; ALUMINUM
제목
Design of an Ideal Grain-Refiner Alloy for Al-7Si Alloy Using Artificial Neural Networks
저자
Reddy, N. S.; Rao, A. K. Prasada; Krishnaiah, J.; Chakraborty, M.; Murty, B. S.
DOI
10.1007/s11665-012-0334-9
발행일
2013-03
유형
Article
저널명
Journal of Materials Engineering and Performance
권
22
호
3
페이지
696 ~ 699