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Thermal images collected during 3D printing with Cincinnati BAAM

  • Villez, Kris | Oak Ridge National Laboratory
  • Abeyrathne, Dilrukshi | University of Maine - Advanced Structures & Composites Center
  • Bailey, Benjamin | University of Maine - Advanced Structures & Composites Center
  • Bisson, Wesley | University of Maine - Advanced Structures & Composites Center
  • O'Brien, Chris | University of Tennessee, Knoxville
  • Pike, Jay | University of Tennessee, Knoxville
  • Stevens, Jason | University of Maine - Advanced Structures & Composites Center
  • Studer, Gregory | University of Maine - Advanced Structures & Composites Center
  • Tomlinson, Scott | University of Maine - Advanced Structures & Composites Center
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Overview

Description

This data set contains images produced to test the performance of anomaly and fault detection methods in the context of additive manufacturing. A total of 10 print jobs were executed using a Cincinnati BAAM (model 606) with a Cincinnati medium compression screw. The material used was compounded polylactic acid (PLA) with wood flour as a filler produced by Jabil (80% NatureWorks Ingeo 6060D amorphous PLA, % 100 mesh pine flour from American Wood Fiber). Print sheets were 1/4in polycarbonate.

Funding Resources

DOE Contract Number

AC05-00OR22725

Originating Research Organization

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Other Contributing Organizations

University of Maine

Sponsoring Organization

Advanced Materials and Manufacturing Technologies Office (AMMTO)

Details

DOI

10.13139/ORNLNCCS/2998943

Release Date

March 10, 2026

Dataset

Dataset Type

IP Still Images or Photos

Acknowledgements

This work was carried out [in part] at Oak Ridge National Laboratory, managed by UT-Battelle, LLC for the U.S. Department of Energy under contract DE-AC05-00OR22725.

Category

  • 36 MATERIALS SCIENCE

Keywords

  • Composite materials,
  • Machine vision,
  • Additive manufacturing