Characterization of Electromechanical Transmissions in the FDM 3D Printing Process Enables for Condition Monitoring via Multi-information Fusion

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

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

Abstract

Fused Deposition Modeling (FDM) 3D printing has emerged as a highly utilized technology worldwide due to its user-friendly operation, ability to work with several materials, and environmentally conscious approach. Nevertheless, the limitations of technological development result in the persistence of weaknesses in FDM 3D printing, such as extended printing duration, irregularities in the electromechanical transmission system, and inconsistent printing quality. The study aims to investigate online condition monitoring methods in the FDM 3D printing process, concentrating especially on the fusion of many information sources. Prior to this, the optimal placement of the fixed sensors has been deliberated. Subsequently, an examination was conducted on the attributes of the printing route and the optimal conditions of the synchronous transmission belt using multi-information. Furthermore, an analysis was performed on the distinctive qualities of each signal in order to establish a correlation between the signals and the 3D printing procedure. Lastly, the efficacy of each signal will be examined to suggest the need for additional investigation. Current evidence suggests that mounting the sensor on the nozzle module yields higher efficiency compared to alternative mounting sites. Additionally, the vibration frequency and current signals provide clear insights into the printing process and the condition of the synchronous transmission belt.

Original languageEnglish
Title of host publicationProceedings of the UNIfied Conference of DAMAS, IncoME VIII and TEPEN Conferences
Subtitle of host publicationUNIfied 2024—Volume 1
EditorsManeesh Singh, Gunjan Soni, Jyoti Sinha, Andrew D. Ball, Fengshou Gu, Huajiang Ouyang, Carol Featherston
PublisherSpringer, Cham
Pages649-665
Number of pages17
Edition1st
ISBN (Electronic)9783031933271
ISBN (Print)9783031933264, 9783031933295
DOIs
Publication statusPublished - 4 Oct 2025
EventUNIfied International Conference on Emerging Technologies in Cyber-Physical Systems and Industrial AI - Jaipur, India
Duration: 26 Nov 202428 Nov 2024
https://mnit.ac.in/news/news?newsid=QK+M3Q==
https://unified2024.netlify.app/

Publication series

NameMechanisms and Machine Science
PublisherSpringer
Volume181 MMS
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

ConferenceUNIfied International Conference on Emerging Technologies in Cyber-Physical Systems and Industrial AI
Abbreviated titleUNIfied 2024
Country/TerritoryIndia
CityJaipur
Period26/11/2428/11/24
Internet address

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