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In situ monitoring for fused filament fabrication process: A review AITranslate

University of South Carolina; University of South Carolina; University of South Carolina;Naval Surface Warfare Center (Crane Division);Naval Surface Warfare Center (Crane Division)
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Publisher: Elsevier
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Abstract AITranslate

Real-time monitoring of the additive manufacturing process offers the promise of guaranteeing product quality and increasing the efficiency of the printing process. This paper summarizes research results for the in situ monitoring of the printing process for the fused filament fabrication process. To have a systematic and comprehensive summary, different methods, devices, and achievements in a range of monitoring systems for 3D printing are described. Sensor types and devices used in the literature for printer health-state monitoring and printing process product quality monitoring are summarized. Discussion of current and future research directions concludes the review.

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DOI:https://doi.org/10.1016/j.addma.2020.101749

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Citation Information:

Real-time monitoring of the additive manufacturing process offers the promise of guaranteeing product quality and increasing the efficiency of the printing process. This paper summarizes research results for the in situ monitoring of the printing process for the fused filament fabrication process. To have a systematic and comprehensive summary, different methods, devices, and achievements in a range of monitoring systems for 3D printing are described. Sensor types and devices used in the literature for printer health-state monitoring and printing process product quality monitoring are summarized. Discussion of current and future research directions concludes the review.

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GB/T 7714-2015 [1] Yanzhou Fu, Austin Downey, Lang Yuan, et al. Additive Manufacturing, 2021(38). DOI:10.1016/j.addma.2020.101749.
MLA [1] Yanzhou Fu, et al., Additive Manufacturing, no. 38, 2021, https://doi.org/10.1016/j.addma.2020.101749.
APA [1] Yanzhou Fu, Austin Downey, Lang Yuan, Avery Pratt, & Yunusa Balogun. (2021). Additive Manufacturing(38). https://doi.org/10.1016/j.addma.2020.101749
IEEE [1] Yanzhou Fu, Austin Downey, Lang Yuan, Avery Pratt, and Yunusa Balogun, Additive Manufacturing, no. 38, 2021, doi: 10.1016/j.addma.2020.101749.