Optimization of Charpy-impact strength of 3D-printed carbon fiber/polyamide composites by Taguchi method

Beylergil, Bertan and Al-Nadhari, Abdulrahman Saeed Abdulqader and Yıldız, Mehmet (2023) Optimization of Charpy-impact strength of 3D-printed carbon fiber/polyamide composites by Taguchi method. Polymer Composites, 44 (5). pp. 2846-2859. ISSN 0272-8397 (Print) 1548-0569 (Online)

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This study utilizes the Taguchi optimization technique to investigate the effects of FDM processing parameters on the Charpy impact strength of 3D printed CF/PA composites experimentally and statistically. The four 3D printing parameters employed in the experiment are the infill density, raster angle, extruder temperature, and printing speed, which were used to create the experimental plan with the L18 orthogonal array. Signal to noise (S/N) ratios and analysis of variance (ANOVA) were utilized to identify the optimum values and the interactions between the process parameters. SEM and thermography techniques were employed to assess the microstructural and damage status of the CF/PA composite specimens. ANOVA results determined that only three factors–infill density, raster angle, and extruder temperature–had a statistical significance, while printing speed did not. The outcomes demonstrated that the optimal 3D printing parameters are infill density (100%), raster angle (60°), extruder temperature (260°C), infill density (100%), and printing speed (30 mm/s), with the maximum contribution of 54.19% belonging to infill density, and the minimum contribution of 2.84% belonging to printing speed. The optimal combination of these 3D printing parameters yielded a Charpy impact strength of 10.54 kJ/m2, resulting in an increase of almost 150% compared to the worst-case situation. The Taguchi approach proves to be a proficient technique to boost the Charpy impact strength of 3D-printed CF/PA composites.
Item Type: Article
Uncontrolled Keywords: 3D printing; composites; fibers; impact resistance; polyamides; Taguchi method
Divisions: Faculty of Engineering and Natural Sciences
President's Office
Depositing User: Mehmet Yıldız
Date Deposited: 08 May 2023 14:32
Last Modified: 08 May 2023 14:32
URI: https://research.sabanciuniv.edu/id/eprint/45508

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