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Author:

Chen, Dongju (Chen, Dongju.) | Zhang, Xuan (Zhang, Xuan.) | Sun, Kun (Sun, Kun.) | Fan, Jinwei (Fan, Jinwei.)

Indexed by:

EI Scopus SCIE

Abstract:

Purpose: This paper aims to study the influence degree of three factors affecting the vibration amplitude of aerostatic spindle and optimizes each factor. Design/methodology/approach: The vibration amplitude of the spindle is characterized according to internal structure and operating characteristics of aerostatic spindle. The radial and axial vibration models of aerostatic spindle were established by the spring-damper system. The influence degree of main influencing factors on the spindle vibration amplitude was investigated through correlation analysis. Findings: The results indicate that the crucial factor is aerostatic spindle speed and experiments validated that increasing spindle speed can enhance spindle stability. The influence of three factors on radial vibration is greater than that on axial vibration. Finally, the values of optimal working parameters were obtained by genetic algorithm. Originality/value: The method in this article can effectively predict aerostatic spindle vibration amplitude and perfect the stability of aerostatic spindle. © 2022, Emerald Publishing Limited.

Keyword:

Aerodynamics Airships Genetic algorithms Factor analysis Damping Bearings (machine parts) Vibration analysis

Author Community:

  • [ 1 ] [Chen, Dongju]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhang, Xuan]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China
  • [ 3 ] [Sun, Kun]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China
  • [ 4 ] [Fan, Jinwei]Mechanical Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China

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Source :

Industrial Lubrication and Tribology

ISSN: 0036-8792

Year: 2022

Issue: 5

Volume: 74

Page: 498-506

1 . 6

JCR@2022

1 . 6 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:49

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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