Real-time distortion monitoring during fused deposition modeling via acoustic emission

被引:37
作者
Li, Feng [1 ]
Yu, Zhonghua [1 ]
Yang, Zhensheng [2 ]
Shen, Xuanwei [1 ]
机构
[1] Zhejiang Univ, Coll Mech Engn, State Key Lab Fluid Power Transmiss & Control, Hangzhou 310027, Peoples R China
[2] Shanghai Maritime Univ, Coll Logist Engn, Shanghai, Peoples R China
来源
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL | 2020年 / 19卷 / 02期
基金
中国国家自然科学基金;
关键词
Fused deposition modeling; monitoring; distortion; acoustic emission; ensemble empirical mode decomposition; FAULT-DIAGNOSIS; TOOL WEAR; DECOMPOSITION; CLASSIFICATION; SPECTRUM; STRESSES; TENSILE; POWDER; TESTS;
D O I
10.1177/1475921719849700
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Fused deposition modeling is a popular technique for three-dimensional prototyping since it is cost-effective, convenient to operate, and environment-friendly. However, the low quality of its printed products jeopardizes its future development. Distortion, also known as warping deformation, which is caused by many factors such as inappropriate process parameters and process drifts, is one of the most common defects in the fused deposition modeling process. Rapid detection of such part distortion during the printing process is beneficial for improving the production efficiency and saving materials. In this article, a real-time part distortion monitoring method based on acoustic emission is presented. Our work is to identify distortion defects and understand the condition of the distortion area through sensing and digital signal processing techniques. In our experiments, both the acoustic emission hits and original signals were acquired during the fused deposition modeling process. Then, the acoustic emission hits were analyzed. Ensemble empirical mode decomposition was utilized to eliminate noise and extract features from the original acoustic emission signal to further analyze the acoustic emission signal in the case of part distortion. Furthermore, the root mean square of the reconstructed signals was calculated, and the prediction results are strongly correlated with the ground truth printing states. This work provides a promising method for the quality diagnosis of printing parts.
引用
收藏
页码:412 / 423
页数:12
相关论文
共 59 条
[41]   Understanding the Thermal Sciences in the Electron Beam Melting Process Through In-Situ Process Monitoring [J].
Raplee, J. ;
Plotkowski, A. ;
Kirka, M. M. ;
Dinwiddie, R. ;
Dehoff, R. R. ;
Babu, S. S. .
NONDESTRUCTIVE CHARACTERIZATION AND MONITORING OF ADVANCED MATERIALS, AEROSPACE, AND CIVIL INFRASTRUCTURE 2017, 2017, 10169
[42]  
Redding MR, 2017, Patent No. [14/946,451, 14946451]
[43]   On the use of spatter signature for in-situ monitoring of Laser Powder Bed Fusion [J].
Repossini, Giulia ;
Laguzza, Vittorio ;
Grasso, Marco ;
Colosimo, Bianca Maria .
ADDITIVE MANUFACTURING, 2017, 16 :35-48
[44]  
Rodriguez E, 2012, P SPL FREEF FABR S A
[45]   Unsupervised learning for classification of acoustic emission events from tensile and bending experiments with open-hole carbon fiber composite samples [J].
Sawan, Hisham A. ;
Walter, Mark E. ;
Marquette, Brooks .
COMPOSITES SCIENCE AND TECHNOLOGY, 2015, 107 :89-97
[46]  
Seryasat O. R., 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics (SMC 2010), P4295, DOI 10.1109/ICSMC.2010.5642389
[47]   Acoustic emission monitoring of interlaminar delamination onset in carbon fibre composites [J].
Silversides, Ian ;
Maslouhi, Ahmed ;
LaPlante, Gabriel .
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2013, 12 (02) :126-140
[48]   Investigation of residual stresses induced during the selective laser melting process [J].
Van Belle, Laurent ;
Vansteenkiste, Guillaume ;
Boyer, Jean-Claude .
CURRENT STATE-OF-THE-ART ON MATERIAL FORMING: NUMERICAL AND EXPERIMENTAL APPROACHES AT DIFFERENT LENGTH-SCALES, PTS 1-3, 2013, 554-557 :1828-1834
[49]  
Wang TM, 2007, INT J ADV MANUF TECH, V33, P1087, DOI 10.1007/sOO170-006-0556-9
[50]  
Wasmer K., 2018, IND ADDITIVE MANUFAC, P200