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This work describes a model to predict the yield strength of aluminum alloysAluminum alloy, in either an annealed or T6 (peak aged) state, based solely on its composition. This is accomplished through the analyses of strengthening mechanisms common to aluminumAluminum, of which, precipitationPrecipitation strengthening is of particular interest. Simplifications to typical precipitationPrecipitation strengthening models allow peak aged yield strengths to be predicted from the alloy’s composition and has shown promising results with an R2 value of 0.92 when comparing predicted and recorded strengths of 70 + age-hardenable alloysAlloy design. These models can aid in the development of new aluminum alloysAluminum alloy and are well suited for inclusionInclusions in optimization processes.

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Predicting Yield Strength of Aluminum Alloys Based on Composition

  • 会议论文

  • 发表日期：

    2025年

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  • Clinton Kade Waite,
  • Eric R. Homer,
  • Luca Montanelli,
  • Elsa Olivetti

摘要

This work describes a model to predict the yield strength of aluminum alloysAluminum alloy, in either an annealed or T6 (peak aged) state, based solely on its composition. This is accomplished through the analyses of strengthening mechanisms common to aluminumAluminum, of which, precipitationPrecipitation strengthening is of particular interest. Simplifications to typical precipitationPrecipitation strengthening models allow peak aged yield strengths to be predicted from the alloy’s composition and has shown promising results with an R2 value of 0.92 when comparing predicted and recorded strengths of 70 + age-hardenable alloysAlloy design. These models can aid in the development of new aluminum alloysAluminum alloy and are well suited for inclusionInclusions in optimization processes.