Prediction of Electrical Conductivity of Cu-15Ni-8Sn-XSi Alloys Using the Physical Model and Artificial Intelligence Model

Shan Feng Fang; Yuan Shan Han; Ming Pu Wang

doi:10.4028/www.scientific.net/AMR.652-654.1138

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 652-654Prediction of Electrical Conductivity of...

Prediction of Electrical Conductivity of Cu-15Ni-8Sn-XSi Alloys Using the Physical Model and Artificial Intelligence Model

Abstract:

The kinetics of phase transformation in Cu-15Ni-8Sn-XSi alloys alloy was studied through the measurement of the relationship between electric conductivity and volume friction of the new phase. The phase transformation kinetics equation was deduced from the Avrami empirical formula based on the linear relationship between the electrical conductivity and the volume fraction of the phase transformation. The electrical conductivity calculated by the physical model was also obtained. As comparisons, a new model based on least square support vector machines (LSSVM) and capable of forecasting electrical property of Cu-15Ni-8Sn-XSi alloys has been proposed and tested on the same data. The present calculated results of both the physical and artificial intelligence models are in very good agreement with the experimental values. Two models are feasible and efficient to forecast the electrical conductivity of Cu-15Ni-8Sn-XSi alloys.

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Periodical:

Advanced Materials Research (Volumes 652-654)

Pages:

1138-1142

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.652-654.1138

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Online since:

January 2013

Authors:

Shan Feng Fang, Yuan Shan Han, Ming Pu Wang

Keywords:

Copper Alloy, Dynamics of Phase Transformation, Electric Conductivity, Least Squares Support Vector Machines (Ls-SVM), Volume Friction

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DOI: 10.1142/5089

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