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Prediction of mechanical properties of waste polypropylene/waste ground rubber tire powder blends using artificial neural networks

โœ Scribed by Shu Ling Zhang; Zhen Xiu Zhang; Kaushik Pal; Zhen Xiang Xin; Joshua Suh; Jin Kuk Kim


Publisher
Elsevier Science
Year
2010
Weight
747 KB
Volume
31
Category
Article
ISSN
0261-3069

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โœ Basem F. Yousef; Abdel-Hamid I. Mourad; Ali Hilal-Alnaqbi ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier ๐ŸŒ English โš– 692 KB

Polymers have been widely used in industrial applications due to their good thermal and electrical insulation properties, low density and high resistance to chemicals, but they are mechanically weaker and exhibit lower strength and stiffness than metals. Polymer blends, however, offer enhanced mecha