Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/29418
Title: Prediction of Af temperature for copper based shape memory alloys
Authors: Aldas, Kemal
Eskil, Murat
Özkul, İskender
Keywords: Austenite finish temperature;Shape memory alloys;Cu-based SMAs;Gene expression programming
Issue Date: Aug-2014
Publisher: NISCAIR-CSIR, India
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.
Page(s): 429-437
URI: http://hdl.handle.net/123456789/29418
ISSN: 0975-1017 (Online); 0971-4588 (Print)
Appears in Collections:IJEMS Vol.21(4) [August 2014]

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