Detection of jamming and filament breakage in FDM using vibration of feeder stepper

Sean P. Rooney, Emil Pitz, Kishore Pochiraju

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

1 Scopus citations

Abstract

In the field of additive manufacturing (AM), mid-print failure is exceedingly common due to user error, bad design, or environmental factors that cannot be readily prepared for. This holds for most if not all types of AM, but perhaps none more so than the popular Filament Deposition Modeling (FDM) method machines. Absent total power failure, the bulk of the common modes of failure in FDM can be expressed as having an immediate impact on the mechanical system, whether that be a head collision due to warping, increased pressure on the stepper as it tries to push jammed filament, etc. The open loop nature of FDM machines does nothing to help the high rate of failure that FDM printers are known for compared to traditional methods of manufacturing. In this paper, a method for predicting failure due to mechanical malfunction of an FDM 3D printer is presented. The method proposed seeks to close the loop on FDM machines by characterizing the vibrations of the stepper motors which comprise an FDM machine. Using the acoustic emissions, a classifier is trained in order to assess the state of a print based off of supervised learning of known modes of failure. The resulting model is able to successfully predict jamming or air printing during a print with 90% training accuracy.

Original languageEnglish
Title of host publicationAdvanced Materials
Subtitle of host publicationDesign, Processing, Characterization, and Applications
ISBN (Electronic)9780791885574
DOIs
StatePublished - 2021
EventASME 2021 International Mechanical Engineering Congress and Exposition, IMECE 2021 - Virtual, Online
Duration: 1 Nov 20215 Nov 2021

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume3

Conference

ConferenceASME 2021 International Mechanical Engineering Congress and Exposition, IMECE 2021
CityVirtual, Online
Period1/11/215/11/21

Fingerprint

Dive into the research topics of 'Detection of jamming and filament breakage in FDM using vibration of feeder stepper'. Together they form a unique fingerprint.

Cite this