In situ monitoring of FDM machine condition via acoustic emission

Fused deposition modeling (FDM) is one of the most popular additive manufacturing technologies for fabricating prototypes with complex geometry and different materials. However, current commercial FDM machines have the limitations in process reliability and product quality. In order to overcome thes...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2016-05, Vol.84 (5-8), p.1483-1495
Main Authors: Wu, Haixi, Wang, Yan, Yu, Zhonghua
Format: Article
Language:English
Subjects:
Acoustic emission
CAE) and Design
Computer-Aided Engineering (CAD
Diagnostic software
Diagnostic systems
Engineering
Fused deposition modeling
Industrial and Production Engineering
Machinery condition monitoring
Mechanical Engineering
Media Management
Original Article
Process controls
Radial basis function
Support vector machines
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Summary:Fused deposition modeling (FDM) is one of the most popular additive manufacturing technologies for fabricating prototypes with complex geometry and different materials. However, current commercial FDM machines have the limitations in process reliability and product quality. In order to overcome these limitations and increase the levels of machine intelligence and automation, machine conditions need to be monitored more closely as in closed-loop control systems. In this study, a new method for in situ monitoring of FDM machine conditions is proposed, where acoustic emission (AE) technique is applied. The proposed method allows for the identification of both normal and abnormal states of the machine conditions. The time-domain features of AE hits are used as the indicators. Support vector machines with the radial basis function kernel are applied for state identification. Experimental results show that this new method can potentially serve as a non-intrusive diagnostic and prognostic tool for FDM machine maintenance and process control.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-015-7809-4