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RESEARCH PAPER · JOM · 2023

Classification of T6 Tempered 6XXX Series Aluminum Alloys Based on Machine Learning Principles

Tanu Tiwari, Sadegh Jalalian, Chamini Lakshi Mendis, Dmitry G. Eskin

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9 direct citing papers in this saved network. Explore the next layer with second-order citations.

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Classification of T6 Tempered 6XXX Series Aluminum Alloys Based on Machine Learning PrinciplesOriginalUnsupervised learning and pattern recognition in alloy design15Effect of sodium tungstate concentration on surface morphology and hardness variation of 6063 aluminium alloy using by plasma electrolytic oxidation0Machine Learning in Solid‐State Hydrogen Storage Materials: Challenges and Perspectives92Facilitating Recycling of 6xxx Series Aluminum Alloys by Machine Learning-Based Optimization6Effect of filler metal nature on microstructure and mechanical properties of Al-6061 TIG-weld joint1Development Status of Production Purification and Casting and Rolling Technology of Electrical Aluminum Rod0Atomic Kinetic Monte Carlo Simulations Reveal Solute-Vacancy Dynamics in Aluminum and Their Governing Role in Precipitation Aging4Recent Advancements in Aluminum Alloy Research: Integrating Traditional Metallurgy with Machine Learning and Data-Driven Approaches3Microstructural Control, Property Trade-Offs and Emerging Design Strategies in Conventional Aluminum Alloys0

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  1. Unsupervised learning and pattern recognition in alloy design

    Digital Discovery · 2024-01-01

    Ninad Bhat, N. Birbilis, Amanda Susan Barnard

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  2. Effect of sodium tungstate concentration on surface morphology and hardness variation of 6063 aluminium alloy using by plasma electrolytic oxidation

    Journal of Physics Conference Series · 2024-10-01

    H L Chen, T H Lu, Wen‐Chin Lin, S X Chiu

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  3. Machine Learning in Solid‐State Hydrogen Storage Materials: Challenges and Perspectives

    Advanced Materials · 2024-12-20

    Panpan Zhou, Qianwen Zhou, Xuezhang Xiao, Xiulin Fan, Yongjin Zou, Lixian Sun, Jinghua Jiang, Dan Song, Lixin Chen

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  4. Facilitating Recycling of 6xxx Series Aluminum Alloys by Machine Learning-Based Optimization

    Journal of Sustainable Metallurgy · 2025-05-12

    Tanu Tiwari, Chamini Lakshi Mendis, Dmitry G. Eskin

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  5. Effect of filler metal nature on microstructure and mechanical properties of Al-6061 TIG-weld joint

    The International Journal of Advanced Manufacturing Technology · 2025-07-24

    Maamar Hakem, Leila Belgacem, Naima Ouali, Bouzid Maamache, Jaime A. Viña, Miguel Lozano, Brahim Belkessa, Billel Cheniti

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  6. Development Status of Production Purification and Casting and Rolling Technology of Electrical Aluminum Rod

    Metals · 2025-09-01

    Xiaoyu Liu, Huixin Jin, Jiajun Jiang

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  7. Atomic Kinetic Monte Carlo Simulations Reveal Solute-Vacancy Dynamics in Aluminum and Their Governing Role in Precipitation Aging

    Journal of Phase Equilibria and Diffusion · 2025-09-24

    Shui-Qing Jing, Xiang-Shan Kong, Cunsheng Zhang, Guoqun Zhao, Liang Chen

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  8. Recent Advancements in Aluminum Alloy Research: Integrating Traditional Metallurgy with Machine Learning and Data-Driven Approaches

    Applied Sciences · 2026-05-13

    Pooya Parvizi, Alireza Mohammadi Amidi, Mohammad Reza Zangeneh, Mohammad Javad Beigrezaee, Jordi‐Roger Riba, Milad Jalilian

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  9. Microstructural Control, Property Trade-Offs and Emerging Design Strategies in Conventional Aluminum Alloys

    Materials · 2026-09-14

    Shuai Zhang, Bingbing Li, Zhaofeng Wang, Jiawei Han, Qiang Shi

    Read original paper ↗ ·
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