Optimization of functionally graded solid-network TPMS meta-biomaterials
dc.contributor.author | Pehlivan, F. | |
dc.contributor.author | Öztürk, F.H. | |
dc.contributor.author | Demir, S. | |
dc.contributor.author | Temiz, A. | |
dc.date.accessioned | 2024-09-29T16:21:11Z | |
dc.date.available | 2024-09-29T16:21:11Z | |
dc.date.issued | 2024 | |
dc.department | Karabük Üniversitesi | en_US |
dc.description.abstract | The current study enhances the performance of solid-network triply periodic minimal surface (TPMS) cellular materials through using cell size grading along with the Taguchi method. Cell size grading is a novel technique used to control the size of pores and the surface area without changing the relative density. In this context, experimental compression testing was conducted on six distinct geometries of cell size graded TPMS structures (Diamond, Fischer–Koch S, Gyroid, IWP, Primitive, and Schoen–F-RD) manufactured with dental resin using a masked stereolithography (MSLA) printer. The findings indicated that mean total energy absorption was greater for smaller initial cell sizes (4 and 6 mm) compared to larger sizes (12 mm). Consistent patterns were also observed with respect to final cell sizes. Upon examination of the stress-strain relationships between D and I-WP, it is evident that D exhibits a higher initial peak stress point. However, subsequent to a significant decline, it exhibits a tremendous degree of volatility before recovering. Conversely, I-WP demonstrated greater stability throughout the experiments, with a notably greater maximum stress effect. A significant influence was observed from the initial cell size on stress, with larger sizes leading to a reduction in absorbed energy. The acquired results serve as an essential basis for the identification of optimized designs that may be implemented to enhance the structures' durability. © 2024 Elsevier Ltd | en_US |
dc.identifier.doi | 10.1016/j.jmbbm.2024.106609 | |
dc.identifier.issn | 1751-6161 | |
dc.identifier.pmid | 38833782 | en_US |
dc.identifier.scopus | 2-s2.0-85194767264 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.uri | https://doi.org/10.1016/j.jmbbm.2024.106609 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14619/9573 | |
dc.identifier.volume | 157 | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Ltd | en_US |
dc.relation.ispartof | Journal of the Mechanical Behavior of Biomedical Materials | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Additive manufacturing | en_US |
dc.subject | Dental resin | en_US |
dc.subject | Lattice | en_US |
dc.subject | Optimization | en_US |
dc.subject | TPMS | en_US |
dc.title | Optimization of functionally graded solid-network TPMS meta-biomaterials | en_US |
dc.type | Article | en_US |