Prediction of Af temperature for copper based shape memory alloys

被引：0

作者：

Aldas, Kemal ^{[1
]}

Eskil, Murat ^{[2
]}

Ozkul, Iskender ^{[1
]}

机构：

[1] Aksaray Univ, Fac Engn, Dept Mech Engn, TR-68100 Aksaray, Turkey

[2] Aksaray Univ, Fac Arts & Sci, Dept Phys, TR-68100 Aksaray, Turkey

来源：

INDIAN JOURNAL OF ENGINEERING AND MATERIALS SCIENCES | 2014年 / 21卷 / 04期

关键词：

Austenite finish temperature; Shape memory alloys; Cu-based SMAs; Gene expression programming; TRANSFORMATION TEMPERATURES; MARTENSITIC-TRANSFORMATION; AL; MN; NI; ADDITIONS; MICROSTRUCTURE; STABILIZATION; FORMULATION; MANGANESE;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This study presents the gene expression programming (GEP) soft computing technique. as a new tool for the formulation of the Austenite finish (A(f)) 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.

引用

页码：429 / 437

页数：9

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