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|Title:||Prediction of Af temperature for copper based shape memory alloys|
|Keywords:||Austenite finish temperature;Shape memory alloys;Cu-based SMAs;Gene expression programming|
|Abstract:||This study presents the gene expression programming (GEP) soft computing technique as a new tool for the formulation of the Austenite finish (Af) temperature of Cu-based shape memory alloys (SMA) for various compositions and heat treatments. The objective of this study is to provide an alternative formulation to related design composition and verify the robustness of GEP for the formulation of such structural problems. The training and testing patterns of the proposed GEP formulation is based on well established experimental results from the literature. The GEP based formulation results are compared with the experimental results and found to be quite reliable.|
|ISSN:||0975-1017 (Online); 0971-4588 (Print)|
|Appears in Collections:||IJEMS Vol.21(4) [August 2014]|
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