Prediction and Optimization of Mechanical Properties of Polypropylene/Waste Tire Powder Blends using a Hybrid Artificial Neural Network-Genetic Algorithm (GA-ANN)

Blends of Polypropylene (PP) and waste ground rubber tire powder are studied with respect to the effect of ethylene—propylene—diene monomer (EPDM) and polypropylene grafted maleic anhydride (PP-g-MA) compatibilizer content by using the Design of Experiments methodology, whereby the effect of the fou...

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Veröffentlicht in:	Journal of thermoplastic composite materials 2008-01, Vol.21 (1), p.51-69
Hauptverfasser:	Balasubramanian, Maridass, Paglicawan, Marissa A., Zhang, Zhen-Xiu, Sung Hyo Lee, Xin, Zhen-Xiang, Jin Kuk Kim
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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