Real-time Vision Sensor for Volumetric Flowrate Estimation in Robotic Fused Filament Fabrication

Rakshith Badarinath, Basil K. Raju, K. Mohammed Anshad, Vittaldas Prabhu, Sinnu Susan Thomas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fused Filament Fabrication (FFF) is one of the most widely used additive manufacturing processes where a part is built layer by layer of deposited polymer material extruded from a heated nozzle. The real-time sensing and control of the FFF process could improve the robustness of the process and the quality of the fabricated part. One of the critical process variables in FFF is the output polymer flow rate, which can be estimated by measuring the thermoplastic material extruded in real-time. Using computer vision, a live video feed of the polymer deposition process can be used as an input for in-situ extrusion width measurements. This paper explores various image processing workflows to improve the measurement latencies of a previously developed vision-based extrusion width measurement approach. The new image processing workflow helps improve the measurement rate by 6x compared to the original workflow, thereby offering prospects of realizing real-time feedback control for FFF.

Original languageEnglish (US)
Title of host publicationIFAC-PapersOnLine
EditorsHideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
PublisherElsevier B.V.
Pages6569-6575
Number of pages7
Edition2
ISBN (Electronic)9781713872344
DOIs
StatePublished - Jul 1 2023
Event22nd IFAC World Congress - Yokohama, Japan
Duration: Jul 9 2023Jul 14 2023

Publication series

NameIFAC-PapersOnLine
Number2
Volume56
ISSN (Electronic)2405-8963

Conference

Conference22nd IFAC World Congress
Country/TerritoryJapan
CityYokohama
Period7/9/237/14/23

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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