A Review of Acoustic Emission Monitoring on Additive Manufacturing

Zhen Li; Xinfeng Zou; Fanbiao Bao; Fengshou Gu; Andrew D. Ball

doi:10.1007/978-3-030-99075-6_70

A Review of Acoustic Emission Monitoring on Additive Manufacturing

Zhen Li, Xinfeng Zou, Fanbiao Bao, Fengshou Gu, Andrew D. Ball

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

1 Citation (Scopus)

Abstract

Additive manufacturing has the characteristics of gradual accumulation of materials in the manufacturing process. It is often superimposed layer by layer in the process of material physical shape change, which may be accompanied by hot melting, liquid material solidification, particle sintering and other processes. Due to the influence of physical environment, machine state, manufacturing principle and other factors in the whole process, performance defects of parts may occur. The traditional monitoring methods such as vision, optics and CT tomography have limitations, or can only observe the defects on the outer surface, or it is difficult to find the defects in time in the processing process, or the micro defect identification accuracy is not enough. A series of research on acoustic emission detection technology, due to the high sensitivity to high-frequency signals, can observe various phenomena of the machine itself in the processing procedure, and monitor the spatial micro faults of the whole part in the process of parts made of additive materials.

Original language	English
Title of host publication	Proceedings of IncoME-VI and TEPEN 2021
Subtitle of host publication	Performance Engineering and Maintenance Engineering
Editors	Hao Zhang, Guojin Feng, Hongjun Wang, Fengshou Gu, Jyoti K. Sinha
Publisher	Springer, Cham
Pages	867-878
Number of pages	12
Volume	117
ISBN (Electronic)	9783030990756
ISBN (Print)	9783030990749
DOIs	https://doi.org/10.1007/978-3-030-99075-6_70
Publication status	Published - 18 Sep 2022
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)

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10.1007/978-3-030-99075-6_70Licence: Unspecified

Cite this

Li, Z., Zou, X., Bao, F., Gu, F., & Ball, A. D. (2022). A Review of Acoustic Emission Monitoring on Additive Manufacturing. 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 (Vol. 117, pp. 867-878). (Mechanisms and Machine Science; Vol. 117). Springer, Cham. https://doi.org/10.1007/978-3-030-99075-6_70

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abstract = "Additive manufacturing has the characteristics of gradual accumulation of materials in the manufacturing process. It is often superimposed layer by layer in the process of material physical shape change, which may be accompanied by hot melting, liquid material solidification, particle sintering and other processes. Due to the influence of physical environment, machine state, manufacturing principle and other factors in the whole process, performance defects of parts may occur. The traditional monitoring methods such as vision, optics and CT tomography have limitations, or can only observe the defects on the outer surface, or it is difficult to find the defects in time in the processing process, or the micro defect identification accuracy is not enough. A series of research on acoustic emission detection technology, due to the high sensitivity to high-frequency signals, can observe various phenomena of the machine itself in the processing procedure, and monitor the spatial micro faults of the whole part in the process of parts made of additive materials.",

keywords = "Acoustic Emission (AE), Additive Manufacturing (AM), Condition monitoring, Machine learning",

author = "Zhen Li and Xinfeng Zou and Fanbiao Bao and Fengshou Gu and Ball, {Andrew D.}",

note = "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",

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Li, Z, Zou, X, Bao, F, Gu, F & Ball, AD 2022, A Review of Acoustic Emission Monitoring on Additive Manufacturing. in H Zhang, G Feng, H Wang, F Gu & JK Sinha (eds), Proceedings of IncoME-VI and TEPEN 2021 : Performance Engineering and Maintenance Engineering. vol. 117, Mechanisms and Machine Science, vol. 117, Springer, Cham, pp. 867-878, 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_70

A Review of Acoustic Emission Monitoring on Additive Manufacturing. / Li, Zhen; Zou, Xinfeng; Bao, Fanbiao 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. Vol. 117 Springer, Cham, 2022. p. 867-878 (Mechanisms and Machine Science; Vol. 117).

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

TY - GEN

T1 - A Review of Acoustic Emission Monitoring on Additive Manufacturing

AU - Li, Zhen

AU - Zou, Xinfeng

AU - Bao, Fanbiao

AU - Gu, Fengshou

AU - Ball, Andrew D.

N1 - Conference code: 6

PY - 2022/9/18

Y1 - 2022/9/18

N2 - Additive manufacturing has the characteristics of gradual accumulation of materials in the manufacturing process. It is often superimposed layer by layer in the process of material physical shape change, which may be accompanied by hot melting, liquid material solidification, particle sintering and other processes. Due to the influence of physical environment, machine state, manufacturing principle and other factors in the whole process, performance defects of parts may occur. The traditional monitoring methods such as vision, optics and CT tomography have limitations, or can only observe the defects on the outer surface, or it is difficult to find the defects in time in the processing process, or the micro defect identification accuracy is not enough. A series of research on acoustic emission detection technology, due to the high sensitivity to high-frequency signals, can observe various phenomena of the machine itself in the processing procedure, and monitor the spatial micro faults of the whole part in the process of parts made of additive materials.

AB - Additive manufacturing has the characteristics of gradual accumulation of materials in the manufacturing process. It is often superimposed layer by layer in the process of material physical shape change, which may be accompanied by hot melting, liquid material solidification, particle sintering and other processes. Due to the influence of physical environment, machine state, manufacturing principle and other factors in the whole process, performance defects of parts may occur. The traditional monitoring methods such as vision, optics and CT tomography have limitations, or can only observe the defects on the outer surface, or it is difficult to find the defects in time in the processing process, or the micro defect identification accuracy is not enough. A series of research on acoustic emission detection technology, due to the high sensitivity to high-frequency signals, can observe various phenomena of the machine itself in the processing procedure, and monitor the spatial micro faults of the whole part in the process of parts made of additive materials.

KW - Acoustic Emission (AE)

KW - Additive Manufacturing (AM)

KW - Condition monitoring

KW - Machine learning

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SN - 9783030990749

VL - 117

T3 - Mechanisms and Machine Science

SP - 867

EP - 878

BT - Proceedings of IncoME-VI and TEPEN 2021

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 -

Li Z, Zou X, Bao F, Gu F , Ball AD. A Review of Acoustic Emission Monitoring on Additive Manufacturing. In Zhang H, Feng G, Wang H, Gu F, Sinha JK, editors, Proceedings of IncoME-VI and TEPEN 2021 : Performance Engineering and Maintenance Engineering. Vol. 117. Springer, Cham. 2022. p. 867-878. (Mechanisms and Machine Science). Epub 2022 Sep 18. doi: 10.1007/978-3-030-99075-6_70

A Review of Acoustic Emission Monitoring on Additive Manufacturing

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