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Decoding Processing Effects in Al Alloys
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  • Update Date: 18 Sep 2026
  • aluminum alloys
  • machine learning
  • explainable AI
  • SHAP analysis
  • processing–property relationships
  • strength–ductility trade-off
  • XGBoost
  • materials informatics
Video Introduction

This video is adapted from https://doi.org/10.3390/applmech7020043

A data-driven approach using explainable artificial intelligence is presented to explore the relationship between processing conditions and mechanical properties in aluminum alloys. Machine learning and SHAP analysis reveal key factors affecting the strength–ductility trade-off and provide insights into processing–property relationships for advanced alloy design.

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Cite
If you have any further questions, please contact Encyclopedia Editorial Office.
Kolev, M.; Simeonova, T. Decoding Processing Effects in Al Alloys. Encyclopedia. Available online: https://encyclopedia.pub/video/1899 (accessed on 09 October 2026).
Kolev M, Simeonova T. Decoding Processing Effects in Al Alloys. Encyclopedia. Available at: https://encyclopedia.pub/video/1899. Accessed October 09, 2026.
Kolev, Mihail, Tatiana Simeonova. "Decoding Processing Effects in Al Alloys" Encyclopedia, https://encyclopedia.pub/video/1899 (accessed October 09, 2026).
Kolev, M., & Simeonova, T. (2026, September 18). Decoding Processing Effects in Al Alloys. In Encyclopedia. https://encyclopedia.pub/video/1899
Kolev, Mihail and Tatiana Simeonova. "Decoding Processing Effects in Al Alloys." Encyclopedia. Web. 18 September, 2026.
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