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The effect of the selective additions of hafnium (Hf) on the variation of creep life and microstructure of an experimental nickel base superalloy has been investigated. Artificial neural networks (ANNs) were utilized to predict the effect of Hf content on the creep rupture life at temperatures of 850–950°C and showed that, with the addition of Hf, the creep life was prolonged. This effect was more...
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