Charpy Impact Test in 3D-FDM and Optimization with Artificial Intelligence

dc.contributor.authorAltuğ, Mehmet
dc.date.accessioned2024-08-04T19:51:29Z
dc.date.available2024-08-04T19:51:29Z
dc.date.issued2024
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn the study, the rates of impact energy absorption of ABS fractures produced by the FDM method were examined. Charpy impact test results were determined using layer distribution, printing speed, support angle, build orientation, notch type, and unfill type. Box-behnken experimental design design in the study. Notch impact samples are produced on an ABS 3D printer. Then, charpy impact tests were performed on the impact test device. Data were evaluated using the Minitab 21 program. Later, DL and ELM file models were created based on this development. The best results were obtained as 0.844 kJ/m2 with a layer thickness of 0.09 mm. At 60 mm/s printing speed and 30° support angle, the impact energy absorption is 0.803 kJ/m2. The extinction edge of the highest impact energy is 0.841 kj/m2. The most effective impact absorption was obtained as 0.827 kJ/m2 in the U notch type. In the full infill type, impact energy absorption is obtained as 0.777 kJ/m2. In DL, man is the programming and tanh is the activation function. DL, MSE value was calculated as 0.000923, r2 was calculated as 0.97427. In ELM, the activation function is sigmoidal at the input and linear at the output.en_US
dc.identifier.endpage26en_US
dc.identifier.issn2149-4916
dc.identifier.issn2149-9373
dc.identifier.issue1en_US
dc.identifier.startpage12en_US
dc.identifier.trdizinid1234208en_US
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/1234208
dc.identifier.urihttps://hdl.handle.net/11616/88982
dc.identifier.volume10en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofGazi Mühendislik Bilimleri Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleCharpy Impact Test in 3D-FDM and Optimization with Artificial Intelligenceen_US
dc.typeArticleen_US

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