Spindle Health Assessment Based on Rotor Perception

Zhuangzhuang Zhang; Hongjun Wang; Jishou Xing; Fengshou Gu; Xinghe Wang

doi:10.1007/978-3-030-99075-6_35

Spindle Health Assessment Based on Rotor Perception

Zhuangzhuang Zhang, Hongjun Wang, Jishou Xing, Fengshou Gu, Xinghe Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Due to the complex structure of the spindle and many influencing factors, the failure analysis of the spindle has always been a focus. Use Soildwoks to model the Dalian machine tool VDL600 machine tool spindle, analyze the modalities of the spindle and main components through the ANSYS Workbench platform, and analyze the possible resonance frequencies. Taking the data measured by Lion's gyration accuracy tester as a reference, the MEMS acceleration sensor is used to obtain the vibration signal of the spindle, and the modulation signal bispectrum (MSB) analysis method is used to obtain the characteristic frequency of the vibration signal. By comparing and analyzing the characteristic frequency of the vibration signal and the modal analysis result, it can be proved that the MSB method can extract the resonance frequency of the spindle well.

Original language	English
Title of host publication	Proceedings of IncoME-VI and TEPEN 2021 - Performance Engineering and Maintenance Engineering
Editors	Hao Zhang, Guojin Feng, Hongjun Wang, Fengshou Gu, Jyoti K. Sinha
Publisher	Springer, Cham
Pages	427-437
Number of pages	11
ISBN (Electronic)	9783030990756
ISBN (Print)	9783030990749, 9783030990770
DOIs	https://doi.org/10.1007/978-3-030-99075-6_35
Publication status	Published - 18 Sept 2022
Externally published	Yes
Event	6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021 - Hebei University of Technology, Tianjin, China Duration: 20 Oct 2021 → 23 Oct 2021 Conference number: 6 https://tepen.net/conference/tepen2021/

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	117
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021
Abbreviated title	TEPEN-2021 and IncoME-VI
Country/Territory	China
City	Tianjin
Period	20/10/21 → 23/10/21
Internet address	https://tepen.net/conference/tepen2021/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1007/978-3-030-99075-6_35Licence: Unspecified

Cite this

Zhang, Z., Wang, H., Xing, J., Gu, F., & Wang, X. (2022). Spindle Health Assessment Based on Rotor Perception. In H. Zhang, G. Feng, H. Wang, F. Gu, & J. K. Sinha (Eds.), Proceedings of IncoME-VI and TEPEN 2021 - Performance Engineering and Maintenance Engineering (pp. 427-437). (Mechanisms and Machine Science; Vol. 117). Springer, Cham. https://doi.org/10.1007/978-3-030-99075-6_35

@inproceedings{38205e6b54164b08aea928f795357723,

title = "Spindle Health Assessment Based on Rotor Perception",

abstract = "Due to the complex structure of the spindle and many influencing factors, the failure analysis of the spindle has always been a focus. Use Soildwoks to model the Dalian machine tool VDL600 machine tool spindle, analyze the modalities of the spindle and main components through the ANSYS Workbench platform, and analyze the possible resonance frequencies. Taking the data measured by Lion's gyration accuracy tester as a reference, the MEMS acceleration sensor is used to obtain the vibration signal of the spindle, and the modulation signal bispectrum (MSB) analysis method is used to obtain the characteristic frequency of the vibration signal. By comparing and analyzing the characteristic frequency of the vibration signal and the modal analysis result, it can be proved that the MSB method can extract the resonance frequency of the spindle well.",

keywords = "ANSYS workbench, Modal, MSB, Rotation accuracy",

author = "Zhuangzhuang Zhang and Hongjun Wang and Jishou Xing and Fengshou Gu and Xinghe Wang",

note = "Funding Information: Acknowledgements This research is supported by Beijing Science and Technology Planning Project (Grant No. Z201100008320004). Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021, TEPEN-2021 and IncoME-VI ; Conference date: 20-10-2021 Through 23-10-2021",

year = "2022",

month = sep,

day = "18",

doi = "10.1007/978-3-030-99075-6\_35",

language = "English",

isbn = "9783030990749",

series = "Mechanisms and Machine Science",

publisher = "Springer, Cham",

pages = "427--437",

editor = "Hao Zhang and Guojin Feng and Hongjun Wang and Fengshou Gu and Sinha, \{Jyoti K.\}",

booktitle = "Proceedings of IncoME-VI and TEPEN 2021 - Performance Engineering and Maintenance Engineering",

address = "Switzerland",

url = "https://tepen.net/conference/tepen2021/",

}

Zhang, Z, Wang, H, Xing, J, Gu, F & Wang, X 2022, Spindle Health Assessment Based on Rotor Perception. in H Zhang, G Feng, H Wang, F Gu & JK Sinha (eds), Proceedings of IncoME-VI and TEPEN 2021 - Performance Engineering and Maintenance Engineering. Mechanisms and Machine Science, vol. 117, Springer, Cham, pp. 427-437, 6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021, Tianjin, China, 20/10/21. https://doi.org/10.1007/978-3-030-99075-6_35

Spindle Health Assessment Based on Rotor Perception. / Zhang, Zhuangzhuang; Wang, Hongjun; Xing, Jishou et al.
Proceedings of IncoME-VI and TEPEN 2021 - Performance Engineering and Maintenance Engineering. ed. / Hao Zhang; Guojin Feng; Hongjun Wang; Fengshou Gu; Jyoti K. Sinha. Springer, Cham, 2022. p. 427-437 (Mechanisms and Machine Science; Vol. 117).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Spindle Health Assessment Based on Rotor Perception

AU - Zhang, Zhuangzhuang

AU - Wang, Hongjun

AU - Xing, Jishou

AU - Gu, Fengshou

AU - Wang, Xinghe

N1 - Conference code: 6

PY - 2022/9/18

Y1 - 2022/9/18

N2 - Due to the complex structure of the spindle and many influencing factors, the failure analysis of the spindle has always been a focus. Use Soildwoks to model the Dalian machine tool VDL600 machine tool spindle, analyze the modalities of the spindle and main components through the ANSYS Workbench platform, and analyze the possible resonance frequencies. Taking the data measured by Lion's gyration accuracy tester as a reference, the MEMS acceleration sensor is used to obtain the vibration signal of the spindle, and the modulation signal bispectrum (MSB) analysis method is used to obtain the characteristic frequency of the vibration signal. By comparing and analyzing the characteristic frequency of the vibration signal and the modal analysis result, it can be proved that the MSB method can extract the resonance frequency of the spindle well.

AB - Due to the complex structure of the spindle and many influencing factors, the failure analysis of the spindle has always been a focus. Use Soildwoks to model the Dalian machine tool VDL600 machine tool spindle, analyze the modalities of the spindle and main components through the ANSYS Workbench platform, and analyze the possible resonance frequencies. Taking the data measured by Lion's gyration accuracy tester as a reference, the MEMS acceleration sensor is used to obtain the vibration signal of the spindle, and the modulation signal bispectrum (MSB) analysis method is used to obtain the characteristic frequency of the vibration signal. By comparing and analyzing the characteristic frequency of the vibration signal and the modal analysis result, it can be proved that the MSB method can extract the resonance frequency of the spindle well.

KW - ANSYS workbench

KW - Modal

KW - MSB

KW - Rotation accuracy

UR - https://www.scopus.com/pages/publications/85138778952

UR - https://link.springer.com/book/10.1007/978-3-030-99075-6

U2 - 10.1007/978-3-030-99075-6_35

DO - 10.1007/978-3-030-99075-6_35

M3 - Conference contribution

AN - SCOPUS:85138778952

SN - 9783030990749

SN - 9783030990770

T3 - Mechanisms and Machine Science

SP - 427

EP - 437

BT - Proceedings of IncoME-VI and TEPEN 2021 - Performance Engineering and Maintenance Engineering

A2 - Zhang, Hao

A2 - Feng, Guojin

A2 - Wang, Hongjun

A2 - Gu, Fengshou

A2 - Sinha, Jyoti K.

PB - Springer, Cham

T2 - 6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021

Y2 - 20 October 2021 through 23 October 2021

ER -

Spindle Health Assessment Based on Rotor Perception

Abstract

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Conference

UN SDGs

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