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İ. H. KARAHAN1,* , R. OZDEMIR2
The electrical resistivity of electrodeposited Zn1-xFex alloys has been formulated as a function of temperature between the 10 and 330 K for an iron concentration x from 4 to 39 using Genetic Programming (GP) as a new tool. There are no well established formulations for predicting electrical resistivity properties of electrodeposited alloys related to film composition, electrodeposition bath composition and corrosion potential. Therefore, the objective of this paper is to develop robust formulations based on the experimental data and to verify the use of GP for generating the formulations for electrical resistivity of electrodeposited ZnFe alloys. To generate databases for the electrical resistivity formulations, training and testing sets in total of 260 samples were selected at different temperatures and ratios of components. The training andn testing sets consisted of randomly selected 208 and 52 for the electrical resistivity. The paper showed that the GP based formulation appeared to be in line with the experimental data and was found to be quite reliable.
Artificial intelligence, Alloys, Metal and metallic alloys, Electrodeposition, Electrical resistivity.
İ. H. KARAHAN, R. OZDEMIR, A new modeling of electrical resistivity properties of ZnFe alloys using genetic programming, Optoelectronics and Advanced Materials - Rapid Communications, 4, 6, June 2010, pp.812-815 (2010).
Submitted at: May 9, 2010
Accepted at: June 16, 2010
Optoelectronics and Advanced Materials - Rapid Communications
(2023): 0.5 - 2023 Journal Citation Reports (Clarivate Analytics, 2024)
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