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 - http://www.scopus.com/inward/record.url?scp=85151163603&partnerID=8YFLogxK
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 -
