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Prediction of tribological behavior of aluminum–copper based composite using artificial neural network

✍ Scribed by Mohammed Hayajneh; Adel Mahamood Hassan; Abdalla Alrashdan; Ahmad Turki Mayyas

Book ID
116603542
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
687 KB
Volume
470
Category
Article
ISSN
0925-8388

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Prediction on tribological behaviour of
Prediction on tribological behaviour of composite PEEK-CF30 using artificial neural networks
✍ Xu LiuJie; J. Paulo Davim; Rosária Cardoso 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 831 KB

In the present article artificial neural networks (ANN) were used to study the effects of pv factor and contact temperature on the dry sliding tribological behaviour of 30 wt.% carbon-fibre-reinforced polyetheretherketone composite (PEEK-CF30). An experimental plan was performed on a pin-on-disc mac