Condition Monitoring of Nozzle Temperature in 3D Printing via Vibro-Acoustic Signals

Xinfeng Zou; Zhen Li; Lianghua Zeng; Fengshou Gu; Andrew D. Ball

doi:10.1007/978-3-031-26193-0_6

Condition Monitoring of Nozzle Temperature in 3D Printing via Vibro-Acoustic Signals

Xinfeng Zou, Zhen Li, Lianghua Zeng, Fengshou Gu, Andrew D. Ball

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

Additive manufacturing (AM) offers a broad variety of applications in numerous areas of personal and industrial use. Nevertheless, there are numerous issues that occur throughout the 3D printing process, including the typical faults of printed parts, anomalous printing state that is difficult to detect in real-time, low printing precision, and unstable printing state. This research focuses on a method for real-time state monitoring of a fused filament fabrication (FFF) 3D printing process using vibro-acoustic signals. As one of the important aspects of a printing process, nozzle temperature has been recommended to indicate the printing state. Impact hammer test and COMSOL simulation are used to examine the frequency domain of the printing bed. In this research, the link between the frequency domain of the printing bed and the temperature of the nozzle based on vibro-acoustic signals is examined. Consequently, the strategy can serve as a benchmark for monitoring an FFF 3D printing process.

Original language	English
Title of host publication	Proceedings of TEPEN 2022
Subtitle of host publication	Efficiency and Performance Engineering Network
Editors	Hao Zhang, Yongjian Ji, Tongtong Liu, Xiuquan Sun, Andrew David Ball
Publisher	Springer, Cham
Pages	53-63
Number of pages	11
Volume	129
ISBN (Electronic)	9783031261930
ISBN (Print)	9783031261923, 9783031261954
DOIs	https://doi.org/10.1007/978-3-031-26193-0_6
Publication status	Published - 4 Mar 2023
Event	International Conference of The Efficiency and Performance Engineering Network 2022 - Baotou, China Duration: 18 Aug 2022 → 21 Aug 2022 https://tepen.net/ https://tepen.net/conference/tepen2022/

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	129 MMS
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	International Conference of The Efficiency and Performance Engineering Network 2022
Abbreviated title	TEPEN 2022
Country/Territory	China
City	Baotou
Period	18/08/22 → 21/08/22
Internet address	https://tepen.net/ https://tepen.net/conference/tepen2022/

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

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10.1007/978-3-031-26193-0_6Licence: Unspecified

Cite this

Zou, X., Li, Z., Zeng, L., Gu, F., & Ball, A. D. (2023). Condition Monitoring of Nozzle Temperature in 3D Printing via Vibro-Acoustic Signals. In H. Zhang, Y. Ji, T. Liu, X. Sun, & A. D. Ball (Eds.), Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network (Vol. 129, pp. 53-63). (Mechanisms and Machine Science; Vol. 129 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-26193-0_6

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title = "Condition Monitoring of Nozzle Temperature in 3D Printing via Vibro-Acoustic Signals",

abstract = "Additive manufacturing (AM) offers a broad variety of applications in numerous areas of personal and industrial use. Nevertheless, there are numerous issues that occur throughout the 3D printing process, including the typical faults of printed parts, anomalous printing state that is difficult to detect in real-time, low printing precision, and unstable printing state. This research focuses on a method for real-time state monitoring of a fused filament fabrication (FFF) 3D printing process using vibro-acoustic signals. As one of the important aspects of a printing process, nozzle temperature has been recommended to indicate the printing state. Impact hammer test and COMSOL simulation are used to examine the frequency domain of the printing bed. In this research, the link between the frequency domain of the printing bed and the temperature of the nozzle based on vibro-acoustic signals is examined. Consequently, the strategy can serve as a benchmark for monitoring an FFF 3D printing process.",

keywords = "Additive manufacturing, Condition monitoring, Fused filament fabrication, Nozzle temperature, Vibro-acoustic signals",

author = "Xinfeng Zou and Zhen Li and Lianghua Zeng and Fengshou Gu and Ball, \{Andrew D.\}",

note = "Funding Information: Acknowledgement. Supported by Characteristic Innovation Program of Universities in Guangdong Province: Research on key technologies of the error prediction and quality mapping of 3D printing based on multi-parameter information coupling(2022KTSCX200). Funding Information: Supported by Special Innovative Projects in Fundamental and Foundational Applied Research of Guangdong Provincial Education Department (2020KTSCX188). Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference of The Efficiency and Performance Engineering Network 2022, TEPEN 2022 ; Conference date: 18-08-2022 Through 21-08-2022",

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doi = "10.1007/978-3-031-26193-0\_6",

language = "English",

isbn = "9783031261923",

volume = "129",

series = "Mechanisms and Machine Science",

publisher = "Springer, Cham",

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Zou, X, Li, Z, Zeng, L, Gu, F & Ball, AD 2023, Condition Monitoring of Nozzle Temperature in 3D Printing via Vibro-Acoustic Signals. in H Zhang, Y Ji, T Liu, X Sun & AD Ball (eds), Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. vol. 129, Mechanisms and Machine Science, vol. 129 MMS, Springer, Cham, pp. 53-63, International Conference of The Efficiency and Performance Engineering Network 2022, Baotou, China, 18/08/22. https://doi.org/10.1007/978-3-031-26193-0_6

Condition Monitoring of Nozzle Temperature in 3D Printing via Vibro-Acoustic Signals. / Zou, Xinfeng; Li, Zhen; Zeng, Lianghua et al.
Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. ed. / Hao Zhang; Yongjian Ji; Tongtong Liu; Xiuquan Sun; Andrew David Ball. Vol. 129 Springer, Cham, 2023. p. 53-63 (Mechanisms and Machine Science; Vol. 129 MMS).

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

TY - GEN

T1 - Condition Monitoring of Nozzle Temperature in 3D Printing via Vibro-Acoustic Signals

AU - Zou, Xinfeng

AU - Li, Zhen

AU - Zeng, Lianghua

AU - Gu, Fengshou

AU - Ball, Andrew D.

N1 - Funding Information: Acknowledgement. Supported by Characteristic Innovation Program of Universities in Guangdong Province: Research on key technologies of the error prediction and quality mapping of 3D printing based on multi-parameter information coupling(2022KTSCX200). Funding Information: Supported by Special Innovative Projects in Fundamental and Foundational Applied Research of Guangdong Provincial Education Department (2020KTSCX188). Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2023/3/4

Y1 - 2023/3/4

N2 - Additive manufacturing (AM) offers a broad variety of applications in numerous areas of personal and industrial use. Nevertheless, there are numerous issues that occur throughout the 3D printing process, including the typical faults of printed parts, anomalous printing state that is difficult to detect in real-time, low printing precision, and unstable printing state. This research focuses on a method for real-time state monitoring of a fused filament fabrication (FFF) 3D printing process using vibro-acoustic signals. As one of the important aspects of a printing process, nozzle temperature has been recommended to indicate the printing state. Impact hammer test and COMSOL simulation are used to examine the frequency domain of the printing bed. In this research, the link between the frequency domain of the printing bed and the temperature of the nozzle based on vibro-acoustic signals is examined. Consequently, the strategy can serve as a benchmark for monitoring an FFF 3D printing process.

AB - Additive manufacturing (AM) offers a broad variety of applications in numerous areas of personal and industrial use. Nevertheless, there are numerous issues that occur throughout the 3D printing process, including the typical faults of printed parts, anomalous printing state that is difficult to detect in real-time, low printing precision, and unstable printing state. This research focuses on a method for real-time state monitoring of a fused filament fabrication (FFF) 3D printing process using vibro-acoustic signals. As one of the important aspects of a printing process, nozzle temperature has been recommended to indicate the printing state. Impact hammer test and COMSOL simulation are used to examine the frequency domain of the printing bed. In this research, the link between the frequency domain of the printing bed and the temperature of the nozzle based on vibro-acoustic signals is examined. Consequently, the strategy can serve as a benchmark for monitoring an FFF 3D printing process.

KW - Additive manufacturing

KW - Condition monitoring

KW - Fused filament fabrication

KW - Nozzle temperature

KW - Vibro-acoustic signals

UR - https://www.scopus.com/pages/publications/85151163603

UR - https://link.springer.com/book/10.1007/978-3-031-26193-0

U2 - 10.1007/978-3-031-26193-0_6

DO - 10.1007/978-3-031-26193-0_6

M3 - Conference contribution

AN - SCOPUS:85151163603

SN - 9783031261923

SN - 9783031261954

VL - 129

T3 - Mechanisms and Machine Science

SP - 53

EP - 63

BT - Proceedings of TEPEN 2022

A2 - Zhang, Hao

A2 - Ji, Yongjian

A2 - Liu, Tongtong

A2 - Sun, Xiuquan

A2 - Ball, Andrew David

PB - Springer, Cham

T2 - International Conference of The Efficiency and Performance Engineering Network 2022

Y2 - 18 August 2022 through 21 August 2022

ER -

Zou X, Li Z, Zeng L, Gu F , Ball AD. Condition Monitoring of Nozzle Temperature in 3D Printing via Vibro-Acoustic Signals. In Zhang H, Ji Y, Liu T, Sun X, Ball AD, editors, Proceedings of TEPEN 2022 : Efficiency and Performance Engineering Network. Vol. 129. Springer, Cham. 2023. p. 53-63. (Mechanisms and Machine Science). Epub 2023 Mar 3. doi: 10.1007/978-3-031-26193-0_6

Condition Monitoring of Nozzle Temperature in 3D Printing via Vibro-Acoustic Signals

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