Prediction of A(f) temperature for copper based shape memory alloys
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Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
National Institute of Science Communication and Information Resources (NISCAIR)
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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. © 2014, National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved.
Açıklama
Anahtar Kelimeler
Austenite Finish Temperature, Cu-Based SMAS, Gene Expression Programming, Shape Memory Alloys
Kaynak
Indian Journal of Engineering and Materials Sciences
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
21
Sayı
4
