Araştırma Makalesi

Tribological Behavior of Ultra-High Molecular Weight Polyethylene Polymer with Artificial Neural Network Modeling

Cilt: 4 Sayı: 2 30 Kasım 2021
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Tribological Behavior of Ultra-High Molecular Weight Polyethylene Polymer with Artificial Neural Network Modeling

Öz

This study presents the tribological properties, wear and friction, of ultra-high molecular weight polyethylene under conditions of dry sliding and Hank’s balanced salt solution lubrication. A pin-on-stainless steel disc apparatus was used for the friction and wear tests. Applied load conditions were 38, 50, 88, 100, 138, and 150N. Sliding speed conditions were 0.4, 0.5, 0.8, 1.0, 1.2 and 1.5 m/s. The results show that the coefficient of friction and the wear rate values decrease with the increase of applied load. The coefficient of friction and the wear rate values were highest under the dry sliding condition for the ranges of the sliding speed values and the applied loads tested in the study. In addition, the applicability of artificial neural networks (ANN) for predicting both the coefficients of friction and wear rate values of the material in different sliding conditions was studied. The neural network results were in agreement with the experimental results for the wear rates and coefficients of friction

Anahtar Kelimeler

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Makine Mühendisliği, Kompozit ve Hibrit Malzemeler

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Kasım 2021

Gönderilme Tarihi

2 Temmuz 2021

Kabul Tarihi

22 Eylül 2021

Yayımlandığı Sayı

Yıl 2021 Cilt: 4 Sayı: 2

Kaynak Göster

APA
Ermiş, K., & Ünal, H. (2021). Tribological Behavior of Ultra-High Molecular Weight Polyethylene Polymer with Artificial Neural Network Modeling. Kocaeli Journal of Science and Engineering, 4(2), 171-178. https://doi.org/10.34088/kojose.961118
AMA
1.Ermiş K, Ünal H. Tribological Behavior of Ultra-High Molecular Weight Polyethylene Polymer with Artificial Neural Network Modeling. KOJOSE. 2021;4(2):171-178. doi:10.34088/kojose.961118
Chicago
Ermiş, Kemal, ve Hüseyin Ünal. 2021. “Tribological Behavior of Ultra-High Molecular Weight Polyethylene Polymer with Artificial Neural Network Modeling”. Kocaeli Journal of Science and Engineering 4 (2): 171-78. https://doi.org/10.34088/kojose.961118.
EndNote
Ermiş K, Ünal H (01 Kasım 2021) Tribological Behavior of Ultra-High Molecular Weight Polyethylene Polymer with Artificial Neural Network Modeling. Kocaeli Journal of Science and Engineering 4 2 171–178.
IEEE
[1]K. Ermiş ve H. Ünal, “Tribological Behavior of Ultra-High Molecular Weight Polyethylene Polymer with Artificial Neural Network Modeling”, KOJOSE, c. 4, sy 2, ss. 171–178, Kas. 2021, doi: 10.34088/kojose.961118.
ISNAD
Ermiş, Kemal - Ünal, Hüseyin. “Tribological Behavior of Ultra-High Molecular Weight Polyethylene Polymer with Artificial Neural Network Modeling”. Kocaeli Journal of Science and Engineering 4/2 (01 Kasım 2021): 171-178. https://doi.org/10.34088/kojose.961118.
JAMA
1.Ermiş K, Ünal H. Tribological Behavior of Ultra-High Molecular Weight Polyethylene Polymer with Artificial Neural Network Modeling. KOJOSE. 2021;4:171–178.
MLA
Ermiş, Kemal, ve Hüseyin Ünal. “Tribological Behavior of Ultra-High Molecular Weight Polyethylene Polymer with Artificial Neural Network Modeling”. Kocaeli Journal of Science and Engineering, c. 4, sy 2, Kasım 2021, ss. 171-8, doi:10.34088/kojose.961118.
Vancouver
1.Kemal Ermiş, Hüseyin Ünal. Tribological Behavior of Ultra-High Molecular Weight Polyethylene Polymer with Artificial Neural Network Modeling. KOJOSE. 01 Kasım 2021;4(2):171-8. doi:10.34088/kojose.961118

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