OPTIMIZATION OF ANNEALING AND 3D PRINTING PROCESS PARAMETERS OF PLA PARTS

Year 2024, Volume: 8 Issue: 2, 185 - 201, 30.08.2024

Mhd Usama Alabd , Abdurrahim Temiz

https://doi.org/10.46519/ij3dptdi.1451666

Cited By: 1

Abstract

Fused Filament Fabrication (FFF) has gained significant popularity as the prevalent additive manufacturing method due to its ability to reduce production time and expenses. However, the constraints of limited dimensional precision, poor surface quality, and relatively low Ultimate Tensile Strength (UTS) hinder compliance with the stringent regulatory norms of conventional manufacturing, necessitating post-processing for enhancement. In this investigation, the response surface method was used to optimize annealing and specific printing parameters to enhance the quality of PLA parts produced by FFF. Tensile specimens were printed with varying production parameters and annealed at varying heat treatment parameters. The following parameters are specified: layer height (0.1, 0.2, and 0.3 mm), build orientation (0°, 22.5°, 45°, 67.5°, and 90°), annealing temperature (70, 90, 110, and 130 ºC), and annealing time (60, 120, 180, and 240 min). The optimization technique aimed to enhance the UTS and match the CAD dimensions while minimizing surface roughness. The RSM optimization analysis identified the optimal parameters as layer height of 0.1 mm, build orientation at 0 degrees, annealing temperature of 110 degrees, and annealing time of 180 min. The consistent achievement of high levels of agreement between estimated and experimental response values substantiates the proposed models. A composite desirability value of 0.80 was derived for the variables due to the optimization investigation.

Keywords

Additive manufacturing, Annealing, Response surface method, Optimization, 3D printing.

Supporting Institution

KARABUK UNIVERSITY

Project Number

KBÜBAP-23-YL-149

Thanks

Scientific Research Projects Coordination Unit of Karabuk University provided funding for this study. KBÜBAP-23-YL-149 is the project number. We appreciate the support.

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