2022
DOI: 10.1016/j.engfailanal.2022.106340
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Modeling and optimization of flexural properties of FDM-processed PET-G specimens using RSM and GWO algorithm

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Cited by 61 publications
(11 citation statements)
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“… Selected parameters Levels Fixed parameters Low Middle High Layer thickness (mm) 0.1 0.15 0.2 Infill pattern Zig-Zag pattern (based on recommendations by Yeoh et al 15 where authors compared multiple patterns against mechanical properties) Printing speed (mm/s) 50 60 70 Infill density (%) 100 (based on recommendations by Kechagias et al 24 . Also Fountas et al 25 found superior flexural strength) Printing temperature (°C) 195 200 205 Bed temperature (°C) 60 (based on recommendations by Silva et al 26 ) …”
Section: Materials Extrusion (Mex) and The Parametersmentioning
confidence: 99%
“… Selected parameters Levels Fixed parameters Low Middle High Layer thickness (mm) 0.1 0.15 0.2 Infill pattern Zig-Zag pattern (based on recommendations by Yeoh et al 15 where authors compared multiple patterns against mechanical properties) Printing speed (mm/s) 50 60 70 Infill density (%) 100 (based on recommendations by Kechagias et al 24 . Also Fountas et al 25 found superior flexural strength) Printing temperature (°C) 195 200 205 Bed temperature (°C) 60 (based on recommendations by Silva et al 26 ) …”
Section: Materials Extrusion (Mex) and The Parametersmentioning
confidence: 99%
“…The wolf group is divided into four social classes from high to low according to the fitness function: α wolf, β wolf, δ wolf, and ω wolf. Wolf hunting is divided into three processes: siege, hunting, and attacking [24], [25]. In the optimization process, the distance between the grey wolf individual and the prey is shown in Eq.…”
Section: Gwo Algorithmmentioning
confidence: 99%
“…[7] A detailed discussion of FDM sustainability, its quality issues, and flexural and surface texture issues observed in 3D printed gears and tools with acceptable flexural and surface texture properties can be found in references. [8][9][10] For example, the sustainability of low-cost 3D printed parts requires consideration of energy consumption, quality metrics, time, quality, and flexibility. Careful choices must be made during the pre-production phase to ensure viability and sustainability.…”
Section: Introductionmentioning
confidence: 99%
“…Surface roughness, printing time, shape quality, and surface hardness were reported for the optimized implant. In another investigation, [10] FDM-related parameters are important for 3D-printed components, and researchers investigated the effect of these parameters on the flexural strength of PET-G. GWO (Grey Wolf algorithm) was used to suggest a good combination of parameter settings to maintain good flexural strength with a gain of 15%. GWO was used to suggest a good combination of parameter settings to maintain good flexural strength with an enhancement of 15%.…”
Section: Introductionmentioning
confidence: 99%