Optimization of 3D printing parameters in polylactic acid bio-metamaterial under cyclic bending loading considering fracture features
3D printing has become a crucial additive manufacturing technique with the applications in various industries. Fused deposition modeling (FDM) is a common additive manufacturing process that offers considerable flexibility in the component fabrication through multiple parameters, which strongly infl...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024023880 |
| _version_ | 1797267703413604352 |
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| author | Ali Dadashi Mohammad Azadi |
| author_facet | Ali Dadashi Mohammad Azadi |
| author_sort | Ali Dadashi |
| collection | DOAJ |
| description | 3D printing has become a crucial additive manufacturing technique with the applications in various industries. Fused deposition modeling (FDM) is a common additive manufacturing process that offers considerable flexibility in the component fabrication through multiple parameters, which strongly influence the properties of the produced parts. This study focused on the impact of different printing parameters on the fatigue behavior of polylactic acid (PLA). The standard samples were 3D-printed with varying speed (5, 10, and 15 mm/s), print temperature (180, 210, and 240 °C), and nozzle diameter (0.2, 0.4, and 0.6 mm). The fatigue properties were evaluated through rotating bending fatigue tests, and a model was developed based on the results with a statistical analysis. The model accuracy was validated and the interactions between the parameters were analyzed. The optimization study found that a print speed of 5 mm/s, print temperature of 210 °C, and nozzle diameter of 0.2 mm were optimal. The fracture surfaces were also examined using a scanning electron microscopy, revealing the presence of crazing despite the brittle behavior of PLA. |
| first_indexed | 2024-04-25T01:20:48Z |
| format | Article |
| id | doaj.art-da0e9059f1754b84a56f153f1f891712 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-25T01:20:48Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-da0e9059f1754b84a56f153f1f8917122024-03-09T09:28:04ZengElsevierHeliyon2405-84402024-02-01104e26357Optimization of 3D printing parameters in polylactic acid bio-metamaterial under cyclic bending loading considering fracture featuresAli Dadashi0Mohammad Azadi1Research Laboratory of Advanced Materials Behavior (AMB), Faculty of Mechanical Engineering, Semnan University, Semnan, IranCorresponding author.; Research Laboratory of Advanced Materials Behavior (AMB), Faculty of Mechanical Engineering, Semnan University, Semnan, Iran3D printing has become a crucial additive manufacturing technique with the applications in various industries. Fused deposition modeling (FDM) is a common additive manufacturing process that offers considerable flexibility in the component fabrication through multiple parameters, which strongly influence the properties of the produced parts. This study focused on the impact of different printing parameters on the fatigue behavior of polylactic acid (PLA). The standard samples were 3D-printed with varying speed (5, 10, and 15 mm/s), print temperature (180, 210, and 240 °C), and nozzle diameter (0.2, 0.4, and 0.6 mm). The fatigue properties were evaluated through rotating bending fatigue tests, and a model was developed based on the results with a statistical analysis. The model accuracy was validated and the interactions between the parameters were analyzed. The optimization study found that a print speed of 5 mm/s, print temperature of 210 °C, and nozzle diameter of 0.2 mm were optimal. The fracture surfaces were also examined using a scanning electron microscopy, revealing the presence of crazing despite the brittle behavior of PLA.http://www.sciencedirect.com/science/article/pii/S2405844024023880Statistical analysisOptimization3D printingPolylactic acidBio-metamaterialFracture features |
| spellingShingle | Ali Dadashi Mohammad Azadi Optimization of 3D printing parameters in polylactic acid bio-metamaterial under cyclic bending loading considering fracture features Heliyon Statistical analysis Optimization 3D printing Polylactic acid Bio-metamaterial Fracture features |
| title | Optimization of 3D printing parameters in polylactic acid bio-metamaterial under cyclic bending loading considering fracture features |
| title_full | Optimization of 3D printing parameters in polylactic acid bio-metamaterial under cyclic bending loading considering fracture features |
| title_fullStr | Optimization of 3D printing parameters in polylactic acid bio-metamaterial under cyclic bending loading considering fracture features |
| title_full_unstemmed | Optimization of 3D printing parameters in polylactic acid bio-metamaterial under cyclic bending loading considering fracture features |
| title_short | Optimization of 3D printing parameters in polylactic acid bio-metamaterial under cyclic bending loading considering fracture features |
| title_sort | optimization of 3d printing parameters in polylactic acid bio metamaterial under cyclic bending loading considering fracture features |
| topic | Statistical analysis Optimization 3D printing Polylactic acid Bio-metamaterial Fracture features |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024023880 |
| work_keys_str_mv | AT alidadashi optimizationof3dprintingparametersinpolylacticacidbiometamaterialundercyclicbendingloadingconsideringfracturefeatures AT mohammadazadi optimizationof3dprintingparametersinpolylacticacidbiometamaterialundercyclicbendingloadingconsideringfracturefeatures |