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Author:

Nie, S. (Nie, S..) | Gong, F. (Gong, F..) | Ji, H. (Ji, H..) | Wang, Y. (Wang, Y..) | Che, C. (Che, C..) | Zhang, G. (Zhang, G..)

Indexed by:

EI Scopus SCIE

Abstract:

The effect of surface texture on the efficiency of friction energy dissipation in a nonlinear energy sink (NES) was investigated. Analysis of variance (ANOVA) was employed to develop a quadratic regression model explicating the relationship between control factors (groove width, depth, and density) and responses (shear stress and friction coefficient) associated with rectangular groove surface texture. Response surface methodology (RSM) was utilized to optimize the control variables for increasing shear stress and friction coefficient between magnetic fluids (MFs) and groove texture. Prototype testing revealed that groove texture significantly enhanced friction energy dissipation efficiency, confirming the effectiveness of optimized texture for MF-NES. © 2024 Elsevier Ltd

Keyword:

Nonlinear energy sink Friction coefficient Groove texture Magnetic fluids

Author Community:

  • [ 1 ] [Nie S.]Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Gong F.]Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Ji H.]Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Wang Y.]Faculty of Applied Science and Engineering, University of Toronto, Toronto, M5S 3G4, Canada
  • [ 5 ] [Che C.]Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Zhang G.]Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, 100124, China

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Source :

Tribology International

ISSN: 0301-679X

Year: 2024

Volume: 192

6 . 2 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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