Artificial Neural Networks for the Prediction of Wear Properties of Al6061-TiO2Composites
Author:
Publisher
IOP Publishing
Subject
General Medicine
Link
http://stacks.iop.org/1757-899X/225/i=1/a=012046/pdf
Reference25 articles.
1. Correlation between the characteristics of the mechanically mixed layer and wear behaviour of aluminium, Al-7075 alloy and Al-MMCs
2. Dry sliding wear of MAO-coated A356/20vol.% SiCp composites in the temperature range 25–180°C
3. The influence of porosity and particles content on dry sliding wear of cast in situ Al(Ti)–Al2O3(TiO2) composite
4. Effect of microstructure (particulate size and volume fraction) and counterface material on the sliding wear resistance of particulate-reinforced aluminum matrix composites
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