Research on Online Monitoring Technology of 3D Printing Faults in Fused Deposition Molding

Chun Li, Lianghua Zeng, Yubin Lin, Fengshou Gu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

During the procedure of 3D printing in Fused Deposition Molding (FDM), building faults, such as Congealed-Material (CM), empty printing, substrate deformation, warped edges and fused wire drawing, often occur. However, most FDM machines lack online monitor systems which lead to huge waste of materials and time. This paper combines an acceleration sensor with vision sensors to monitor CM faults during 3D printing in FDM. An acceleration sensor is used to collect signals during a printing procedure and then abnormal signals are found when nozzle collides with CM. Subsequently, CM can be detected through the STFT algorithm. Furthermore, acceleration data can provide fault characteristics for on-line monitoring. Finally, a camera is used to obtain 3D print model pictures and then an image processing algorithm is studied. An image window is used to reduce calculation amount and extract useful model features. Then, a connected region area is calculated and the largest area region is selected after a threshold and a region are connected. Through image processing, online CM detection can be realized, which provides a foundation for further positioning and removal of CM.

Original languageEnglish
Title of host publicationProceedings of IncoME-V & CEPE Net-2020
Subtitle of host publicationCondition Monitoring, Plant Maintenance and Reliability
EditorsDong Zhen, Dong Wang, Tianyang Wang, Hongjun Wang, Baoshan Huang, Jyoti K. Sinha, Andrew David Ball
Place of PublicationCham
PublisherSpringer Nature Switzerland AG
Pages91-99
Number of pages9
Volume105
Edition1st
ISBN (Electronic)9783030757939
ISBN (Print)9783030757922
DOIs
Publication statusPublished - 16 May 2021
Event5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network - Zhuhai, China
Duration: 23 Oct 202025 Oct 2020
Conference number: 5
https://link.springer.com/book/10.1007/978-3-030-75793-9#about

Publication series

NameMechanisms and Machine Science
Volume105
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network
Abbreviated titleIncoME-V and CEPE Net-2020
CountryChina
CityZhuhai
Period23/10/2025/10/20
Internet address

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