Modeling precipitation hardening and yield strength in cast Al-Si-Mg-Mn alloys

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ÇİNKILIÇ E., Yan X., Luo A. A.

Metals, vol.10, no.10, pp.1-14, 2020 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 10 Issue: 10
  • Publication Date: 2020
  • Doi Number: 10.3390/met10101356
  • Journal Name: Metals
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, INSPEC, Metadex, Directory of Open Access Journals, Civil Engineering Abstracts
  • Page Numbers: pp.1-14
  • Keywords: Al-Si-Mg-Mn casting alloys, Kampmann–Wagner numerical (KWN) model, Microstructure modeling, Precipitation hardening
  • Hakkari University Affiliated: No


An integrated precipitation and strengthening model, incorporating the effect of precipitate morphology on precipitation kinetics and yield strength, is developed based on a modified Kampmann–Wagner numerical (KWN) framework with a precipitate shape factor. The optimized model was used to predict the yield strength of Al-Si-Mg-Mn casting alloys produced by vacuum high pressure die casting at various aged (T6) conditions. The solid solution strengthening contribution of Mn, which is a common alloying element to avoid die soldering, was included in the model to increase the prediction accuracy. The experimental results and simulations show good agreement and the model is capable of reliably predicting yield strength of aluminum die castings after T6 heat treatment, providing a useful tool to tailor heat treatment for a variety of applications.