Tribological properties and wear prediction of various ceramic friction pairs under seawater lubrication condition of different medium characteristics using CNN-LSTM method - Details

Author：

Yin, F. (Yin, F..) | He, Z. (He, Z..) | Nie, S. (Nie, S..) | Ji, H. (Ji, H..) | Ma, Z. (Ma, Z..)

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EI Scopus SCIE

Abstract：

The　tribological　performance　and　wear　mechanism　of　polyetheretherketone　(PEEK)/17–4PH　stainless　steel,　PEEK/silicon　carbide　(SiC),　WC-6Ni　(YN6X)/SiC　and　SiC/polycrystalline　diamond　composite　(PCD)　tribopairs　sliding　in　seawater　at　different　temperatures　(ranged　from　25　°C　to　70　°C)　and　salinities　(20‰,　35‰　and　50‰)　was　investigated.　A　deep　neural　network　model　was　used　to　predict　the　coefficient　of　friction,　combining　a　one-dimensional　CNN　and　an　LSTM.　The　experiment　results　showed　that　increasing　salinity　led　to　a　decrease　in　tribological　performance　of　the　tribopairs,　while　the　performance　effectively　improved　within　the　temperature　range　of　25–55　°C.　The　CNN-LSTM　model　demonstrated　high　accuracy　in　predicting　results,　which　is　significant　for　analyzing　the　tribological　characteristics　of　tribopairs　in　seawater　hydraulic　components.　©　2023　Elsevier　Ltd

Keyword：

CNN-LSTM Seawater lubrication Wear prediction

Author Community：

[ 1 ] [Yin F.]Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [He Z.]Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Nie S.]Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
[ 4 ] [Ji H.]Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
[ 5 ] [Ma Z.]Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China

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Source ：

Tribology International

ISSN： 0301-679X

Year： 2023

Volume： 189

6 . 2 0 0

JCR@2022

ESI Discipline： ENGINEERING;

ESI HC Threshold：19

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 9

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 4

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