Predicting the mechanical properties of date palm wood fibre-recycled low density polyethylene composite using artificial neural network-Reference-Cited by-同舟云学术

Predicting the mechanical properties of date palm wood fibre-recycled low density polyethylene composite using artificial neural network

Published:2014-08-30 Issue:1 Volume:9 Page:
ISSN:1823-0334
Container-title:International Journal of Mechanical and Materials Engineering
language:en
Short-container-title:Int J Mech Mater Eng

Author:

Atuanya Clement Uche,Government Mike Rabboni,Nwobi-Okoye Chidozie Chukwuemeka,Onukwuli Okechukwu Dominic

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

http://link.springer.com/article/10.1186/s40712-014-0007-6/fulltext.html

Reference44 articles.

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2. Ahmet, O, Murat, P, Erdogan, O, Erdogan, K, Naci, C, & Bhatti, MA. (2006). Predicting the compressive strength and slump high strength polymer composite using artificial neural network. Constructions and Building Materials, 20(9), 769–775.

3. Akinro, AO, Ikumawoyi, OB, Yahaya, O, & Ologunagha, NM. (2012). Environmental Impacts of Polyethylene generation and disposal in Akure City, Nigeria. Global journal of Science Frontier Research Agriculture and Biology, 12(3), 1–8.

4. Al-Kaabi, K, Al-Khanbashi, A, & Hammami, A. (2005). Date palm fibers as polymeric matrix reinforcement: DPF/polyester composite properties. Polymer Composites, 26(5), 604–613.

5. Al-Khanbashi, A, Al-Kaabi, K, & Hammami, A. (2005). Date palm fibers as polymeric matrix reinforcement: Fiber characterization. Polymer Composites, 26(4), 486–497.

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