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Aluminum: Technology, Industry, and Applications

• Authors : Robert E. Sanders; Graeme J. Marshall

Subjects: AluminumTECHNOLOGY & ENGINEERING / Engineering (General)

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Aluminum: Properties and Physical Metallurgy

• Authors : Hatch, John E.; American Society for Metals; Aluminum Association

Subjects: Aluminum alloys; AluminumTECHNOLOGY & ENGINEERING / Metallurgy

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Aluminum Upcycled : Sustainable Design in Historical Perspective

• Authors : Carl A. Zimring

Subjects: Aluminum--Recycling; Metal productsTECHNOLOGY & ENGINEERING / History; HISTORY / United States / 20th Century; NATURE / Environmental Conservation & Protection

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Aluminum Neurotoxicity : From Subtle Molecular Lesions to Neurological Diseases

• Authors : Jelenković, Ankica

Subjects: Neurotoxicology; Aluminum--Toxicology; Aluminum--Physiological effectMEDICAL / Pharmacology

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Aluminum Dreams : The Making of Light Modernity

• Authors : Mimi Sheller

Subjects: Aluminum industry and trade--Social aspects; AluminumTECHNOLOGY & ENGINEERING / Superconductors & Superconductivity

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Aluminum Ore : The Political Economy of the Global Bauxite Industry

• Authors : Robin S. Gendron; Mats Ingulstad; Espen Storli

Subjects: Aluminum mines and mining--History; Aluminum mines and mining--Political aspects; Aluminum mines and mining--Social aspectsPOLITICAL SCIENCE / Political Economy; BUSINESS & ECONOMICS / Industries / General; TECHNOLOGY & ENGINEERING / Mining

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Aluminum Alloys: Preparation, Properties and Applications

• Authors : Persson, Erik L.

Subjects: Aluminum alloysTECHNOLOGY & ENGINEERING / Materials Science / General

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The Overload Effect on the Crack Tip Damage Mechanism in a 7075 Aluminum Alloy.

• Authors : Xie, Changji¹ (AUTHOR) ; Zheng, Zhanguang^1,2 (AUTHOR) ; Li, Li¹ (AUTHOR)

• Source: Materials (1996-1944). Aug2024, Vol. 17 Issue 16, p4088. 21p.

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Modeling Aluminum Stocks and Flows in China until 2050 Using a Bottom-Up Approach: Business-As-Usual Scenario Analysis.

• Authors : Wang, Zhe^1,2 (AUTHOR); Li, Shupeng^1,2 (AUTHOR) ; Lin, Zijian^1,2 (AUTHOR)

Subjects: *COMMODITY futures; *ALUMINUM products; *ALUMINUM industry

• Source: Sustainability (2071-1050). Sep2024, Vol. 16 Issue 18, p7959. 14p.

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A novel machine learning-based model for predicting the transition fatigue lifetime in piston aluminum alloys.

• Authors : Matin, Mahmood¹; Azadi, Mohammad¹

• Source: International Journal of Lightweight Materials & Manufacture. Sep2024, Vol. 7 Issue 5, p641-647. 7p.

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