Wear prediction of YN/Si3N4 tribopair lubricated with seawater based on time-series prediction Group Method of Data Handling (GMDH) method - Details

Author：

He, H. (He, H..) | Nie, S. (Nie, S..) | Ji, H. (Ji, H..) | Yan, X. (Yan, X..) | Yin, F. (Yin, F..)

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EI Scopus SCIE

Abstract：

The　time-series　prediction　Group　Method　of　Data　Handling　(GMDH)　method　is　proposed　to　predict　the　friction　coefficient　of　YN9X/Si3N4　tribopair　of　seawater　hydraulic　axial　piston　pump　based　on　wear　experiment.　The　effects　of　surface　roughness,　YN　nickel　content,　load,　sliding　speed　and　temperature　on　the　friction　and　wear　interaction　and　sensitivity　of　YN/Si3N4　tribopair　in　seawater　were　studied　by　orthogonal　test.　The　influence　of　corrosion　wear　on　the　tribological　properties　of　YN　material　was　quantitatively　analyzed.　The　experimental　results　show　that　YN9X　has　better　tribological　properties　than　other　materials　in　artificial　seawater.　Raman　spectrum　analysis　proves　that　there　is　tribological　reaction　between　the　friction　pairs,　which　can　effectively　improve　the　tribological　properties　of　the　materials.　©　2023　Elsevier　Ltd

Keyword：

Cermet Time-series prediction GMDH Wear prediction Seawater lubrication

Author Community：

[ 1 ] [He H.]Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Nie S.]Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Ji H.]Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
[ 4 ] [Yan X.]Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
[ 5 ] [Yin F.]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： 186

6 . 2 0 0

JCR@2022

ESI Discipline： ENGINEERING;

ESI HC Threshold：19

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count： 6

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 6

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