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Author:

Chen, Dongju (Chen, Dongju.) (Scholars:陈东菊) | Gao, Xue (Gao, Xue.) | Dong, Lihua (Dong, Lihua.) | Fan, Jinwei (Fan, Jinwei.) (Scholars:范晋伟)

Indexed by:

EI Scopus SCIE

Abstract:

The generation mechanism of the surface waviness, influenced by the dynamic behavior of the hydrostatic spindle system, is critical for evaluating the machining accuracy of a machine tool. In this study, an evaluation system is proposed to identify the key parameters of a shaft supported by the hydrostatic bearings and to decide the order preference of the influencing factors in the spindle system. The balance analysis is performed to describe the key parameters; then, the generation model of the waviness is built up according to the spindle vibration information. The relationship between the generation model and the actual waviness results is evaluated through the correlation method. It is found that the degree coefficient is above 0.45. Finally, the corresponding spectral characteristics of the spindle system are extracted from the actual waviness results with power spectral density. This verifies that the spindle error is the main factor affecting the accuracy of the actual machining; furthermore, the generation model of the waviness under the effect of the spindle error is correct.

Keyword:

Spindle vibration Ultra-precision machining Dynamic behavior Surface waviness Correlation

Author Community:

  • [ 1 ] [Chen, Dongju]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Ping Leyuan 100, Beijing 100124, Peoples R China
  • [ 2 ] [Gao, Xue]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Ping Leyuan 100, Beijing 100124, Peoples R China
  • [ 3 ] [Dong, Lihua]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Ping Leyuan 100, Beijing 100124, Peoples R China
  • [ 4 ] [Fan, Jinwei]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Ping Leyuan 100, Beijing 100124, Peoples R China

Reprint Author's Address:

  • 陈东菊

    [Chen, Dongju]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Ping Leyuan 100, Beijing 100124, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

ISSN: 0268-3768

Year: 2017

Issue: 5-8

Volume: 91

Page: 2185-2192

3 . 4 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:165

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 8

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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