FA info icon.svg Angle down icon.svg Source data
Type Paper
Cite as Citation reference for the source document. Oberloier, S., Whisman, N. G., & Pearce, J. M. (2022). Finding Ideal Parameters for Recycled Material Fused Particle Fabrication-Based 3D Printing Using an Open Source Software Implementation of Particle Swarm Optimization. 3D Printing and Additive Manufacturing. (OA)Academia OA
FA info icon.svg Angle down icon.svg Project data
Authors Oberloier
N. G.
Joshua M. Pearce
Location Michigan, USA
London, ON
Status Designed
Verified by FAST
OKH Manifest Download
FA info icon.svg Angle down icon.svg Device data
Design files
Hardware license CERN-OHL-S
Certifications Start OSHWA certification

As additive manufacturing rapidly expands the number of materials including waste plastics and composites, there is an urgent need to reduce the experimental time needed to identify optimized printing parameters for novel materials. Computational intelligence (CI) in general and particle swarm optimization (PSO) algorithms in particular have been shown to accelerate finding optimal printing parameters. Unfortunately, the implementation of CI has been prohibitively complex for noncomputer scientists. To overcome these limitations, this article develops, tests, and validates PSO Experimenter, an easy-to-use open-source platform based around the PSO algorithm and applies it to optimizing recycled materials. Specifically, PSO Experimenter is used to find optimal printing parameters for a relatively unexplored potential distributed recycling and additive manufacturing (DRAM) material that is widely available: low-density polyethylene (LDPE). LDPE has been used to make filament, but in this study for the first time it was used in the open source fused particle fabrication/fused granular fabrication system. PSO Experimenter successfully identified functional printing parameters for this challenging-to-print waste plastic. The results indicate that PSO Experimenter can provide 97% reduction in research time for 3D printing parameter optimization. It is concluded that the PSO Experimenter is a user-friendly and effective free software for finding ideal parameters for the burgeoning challenge of DRAM as well as a wide range of other fields and processes.

See also[edit source]

RepRapable Recyclebot and the Wild West of Recycling[edit source]


Recycling Technology[edit source]

Distributed Recycling LCA[edit source]

Literature Reviews[edit source]


Externals[edit source]

  • Economist article on U. of Washington's HDPE boat,
  • Another possible solution - reusable containers [1]
  • Commercial
  • ---
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