Modeling Precipitation Hardening and Yield Strength in Cast Al-Si-Mg-Mn Alloys
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 th...
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MDPI AG
2020-10-01
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Online Access: | https://www.mdpi.com/2075-4701/10/10/1356 |
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author | Emre Cinkilic Xinyan Yan Alan A. Luo |
author_facet | Emre Cinkilic Xinyan Yan Alan A. Luo |
author_sort | Emre Cinkilic |
collection | DOAJ |
description | 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. |
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issn | 2075-4701 |
language | English |
last_indexed | 2024-03-10T15:43:08Z |
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spelling | doaj.art-15210e8dc3de4b01891391322da6f26b2023-11-20T16:38:22ZengMDPI AGMetals2075-47012020-10-011010135610.3390/met10101356Modeling Precipitation Hardening and Yield Strength in Cast Al-Si-Mg-Mn AlloysEmre Cinkilic0Xinyan Yan1Alan A. Luo2Department of Materials Science and Engineering, The Ohio State University, Columbus, OH 43210, USAAlcoa Technical Center; New Kensington, PA 15068, USADepartment of Materials Science and Engineering & Department of Integrated System Engineering, The Ohio State University, Columbus, OH 43210, USAAn 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.https://www.mdpi.com/2075-4701/10/10/1356precipitation hardeningKampmann–Wagner numerical (KWN) modelAl-Si-Mg-Mn casting alloysmicrostructure modeling |
spellingShingle | Emre Cinkilic Xinyan Yan Alan A. Luo Modeling Precipitation Hardening and Yield Strength in Cast Al-Si-Mg-Mn Alloys Metals precipitation hardening Kampmann–Wagner numerical (KWN) model Al-Si-Mg-Mn casting alloys microstructure modeling |
title | Modeling Precipitation Hardening and Yield Strength in Cast Al-Si-Mg-Mn Alloys |
title_full | Modeling Precipitation Hardening and Yield Strength in Cast Al-Si-Mg-Mn Alloys |
title_fullStr | Modeling Precipitation Hardening and Yield Strength in Cast Al-Si-Mg-Mn Alloys |
title_full_unstemmed | Modeling Precipitation Hardening and Yield Strength in Cast Al-Si-Mg-Mn Alloys |
title_short | Modeling Precipitation Hardening and Yield Strength in Cast Al-Si-Mg-Mn Alloys |
title_sort | modeling precipitation hardening and yield strength in cast al si mg mn alloys |
topic | precipitation hardening Kampmann–Wagner numerical (KWN) model Al-Si-Mg-Mn casting alloys microstructure modeling |
url | https://www.mdpi.com/2075-4701/10/10/1356 |
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