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基于声发射技术的熔融沉积成型中细丝断裂监测

Filament Breakage Monitoring in Fused Deposition Modeling Using Acoustic Emission Technique.

作者信息

Yang Zhensheng, Jin Li, Yan Youruiling, Mei Yiming

机构信息

School of Logistics Engineering, Shanghai Maritime University, Shanghai 201306, China.

The State Key Laboratory of Fluid Power Transmission and Control, College of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.

出版信息

Sensors (Basel). 2018 Mar 1;18(3):749. doi: 10.3390/s18030749.

DOI:10.3390/s18030749
PMID:29494559
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5877116/
Abstract

Polymers are being used in a wide range of Additive Manufacturing (AM) applications and have been shown to have tremendous potential for producing complex, individually customized parts. In order to improve part quality, it is essential to identify and monitor the process malfunctions of polymer-based AM. The present work endeavored to develop an alternative method for filament breakage identification in the Fused Deposition Modeling (FDM) AM process. The Acoustic Emission (AE) technique was applied due to the fact that it had the capability of detecting bursting and weak signals, especially from complex background noises. The mechanism of filament breakage was depicted thoroughly. The relationship between the process parameters and critical feed rate was obtained. In addition, the framework of filament breakage detection based on the instantaneous skewness and relative similarity of the AE raw waveform was illustrated. Afterwards, we conducted several filament breakage tests to validate their feasibility and effectiveness. Results revealed that the breakage could be successfully identified. Achievements of the present work could be further used to develop a comprehensive in situ FDM monitoring system with moderate cost.

摘要

聚合物正被广泛应用于各种增材制造（AM）应用中，并已显示出在生产复杂的、个性化定制零件方面具有巨大潜力。为了提高零件质量，识别和监测基于聚合物的增材制造过程故障至关重要。目前的工作致力于开发一种用于熔融沉积建模（FDM）增材制造过程中细丝断裂识别的替代方法。由于声发射（AE）技术能够检测突发和微弱信号，特别是来自复杂背景噪声中的信号，因此应用了该技术。详细描述了细丝断裂的机制。获得了工艺参数与临界进给速度之间的关系。此外，还阐述了基于AE原始波形的瞬时偏度和相对相似度的细丝断裂检测框架。之后，我们进行了多次细丝断裂测试以验证其可行性和有效性。结果表明，可以成功识别细丝断裂。目前工作的成果可进一步用于开发成本适中的综合原位FDM监测系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/9718faa1a37d/sensors-18-00749-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/c72ea333e3bb/sensors-18-00749-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/fcc942459dc6/sensors-18-00749-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/9bf1e3bbc504/sensors-18-00749-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/9957362a9b0c/sensors-18-00749-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/4e5c0e5fb852/sensors-18-00749-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/6e6586683669/sensors-18-00749-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/a0463651753e/sensors-18-00749-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/e9dcbe71704f/sensors-18-00749-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/d8459d2339c0/sensors-18-00749-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/2c5cc53f83b0/sensors-18-00749-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/56a6728c098f/sensors-18-00749-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/9718faa1a37d/sensors-18-00749-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/c72ea333e3bb/sensors-18-00749-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/94ebf80f8be9/sensors-18-00749-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/2fa276e78448/sensors-18-00749-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/fcc942459dc6/sensors-18-00749-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/9bf1e3bbc504/sensors-18-00749-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/9957362a9b0c/sensors-18-00749-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/4e5c0e5fb852/sensors-18-00749-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/6e6586683669/sensors-18-00749-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/a0463651753e/sensors-18-00749-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/e9dcbe71704f/sensors-18-00749-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/d8459d2339c0/sensors-18-00749-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/2c5cc53f83b0/sensors-18-00749-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/56a6728c098f/sensors-18-00749-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa94/5877116/9718faa1a37d/sensors-18-00749-g014.jpg

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