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Prediction of Thermodynamic Equilibrium Temperature of Cu-Based Shape-Memory Smart Materials

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Abstract

The thermodynamic equilibrium temperature (T 0) is an important factor in the austenite and martensitic phases. In this study, the effects of alloying elements and heat treatments on T 0 temperature were investigated using Genetic Programming (GP) which has become one of the tools used in the study of condensed matter. Due to the changes in T 0, it is possible to analyze the changes in the entropy of the phase transitions. The data patterns of the GP formulation are based on well-established experimental results from the literature. The results of the GP-based formulation were compared with experimental results and found to be reliable with a very high correlation (R 2 = 0.965 for training and R 2 = 0.952 for testing).

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Acknowledgments

This research was supported by the Aksaray University BAP 2014/10 Research Development Council.

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Correspondence to İskender Özkul.

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Manuscript submitted February 7, 2014.

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Eskİl, M., Aldaş, K. & Özkul, İ. Prediction of Thermodynamic Equilibrium Temperature of Cu-Based Shape-Memory Smart Materials. Metall Mater Trans A 46, 134–142 (2015). https://doi.org/10.1007/s11661-014-2639-9

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