Prediction on wear properties of polymer composites with artificial neural networks

2007 ◽  
Vol 67 (2) ◽  
pp. 168-176 ◽  
Author(s):  
Z JIANG ◽  
Z ZHANG ◽  
K FRIEDRICH
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Polymer Composites ◽  
Wear Properties ◽  
Artificial Neural

Fabrication and Wear Behavior Investigation of the Carbon/Epoxy Composites Based on Wood Using Artificial Neural Networks

2011 ◽  
Vol 413 ◽  
pp. 95-102 ◽  
Author(s):  
Hossein Vafaeenezhad ◽  
Seyed Mojtaba Zebarjad ◽  
Jalil Vahdati Khaki
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Wear Behavior ◽  
Raw Materials ◽  
Normal Load ◽  
Carbon Matrix ◽  
Cost Effective ◽  
Quercus Suber ◽  
Wear Properties ◽  
Artificial Neural

Since wood is the main component of the applied raw materials, it can be used as matrix in carbon composites, also it can be taken into consideration as a cost effective advanced application and have this potential to suppress many expensive fabrication and finishing procedures. Wood samples from Oak tree (Quercus suber) were heated at different temperatures to produce porous carbon templates. Subsequently, the Carbonized wood was infiltrated with an epoxy in order to fabricate the final carbon/epoxy composite. Scanning electron microscopy was used to elucidate parameters affecting on microstructure and wear properties of products. In this context, artificial neural networks (ANN) and design of experiments method (DOE) was implemented to analyze the wear performance of a new class of cellulose based composites. This work indicates that epoxy shows good reinforcement characteristics as it improves the sliding wear resistance of the carbon matrix and that factors like carbonization temperature, sliding distance and normal load are the important factors affecting the wear behaviors.

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

2018 ◽  
pp. 6-11
Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Space Exploration ◽  
Artificial Neural
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