Multi-objective optimization of 3D printing process parameters using gray-based Taguchi for composite PLA parts

dc.authoridTufekci, Kenan/0000-0001-5358-1396
dc.contributor.authorTuncel, Oguz
dc.contributor.authorTufekci, Kenan
dc.contributor.authorKahya, Caglar
dc.date.accessioned2024-12-24T19:24:17Z
dc.date.available2024-12-24T19:24:17Z
dc.date.issued2024
dc.departmentSiirt Üniversitesi
dc.description.abstractThis study investigates the additive manufacturing (AM) process of 30% ceramic-reinforced composite PLA material using the fused deposition modeling (FDM) technique. The effects of various printing parameters on tensile strength, build time, and material consumption are comprehensively analyzed through a combination of the Taguchi method, analysis of variance (ANOVA), and gray relational analysis (GRA). Experimental design parameters include nozzle diameter, infill density, infill pattern, wall line count, print speed, and layer height. Statistical analyses reveal significant contributions of these parameters to mechanical properties and production efficiency. Single and multi-objective optimizations of the responses were performed. The single optimization resulted in a significant increase in tensile strength from 39.9 to 48.10 MPa. Production time was reduced from 16 to 9 min; material consumption decreased from 4.95 to 2.43 g for tensile test specimens. The use of GRA in multi-objective optimization has led to a significant improvement of 8.31% in the gray relational grade (GRG) when compared to the initial parameter settings. These findings provide valuable insights for optimizing FDM processes in the fabrication of composite PLA materials. This contributes towards the advancement of additive manufacturing technology and its applications across various industries. and its applications across various industries.
dc.identifier.doi10.1002/pc.28674
dc.identifier.endpage12884
dc.identifier.issn0272-8397
dc.identifier.issn1548-0569
dc.identifier.issue14
dc.identifier.scopus2-s2.0-85195678292
dc.identifier.scopusqualityQ1
dc.identifier.startpage12870
dc.identifier.urihttps://doi.org/10.1002/pc.28674
dc.identifier.urihttps://hdl.handle.net/20.500.12604/5927
dc.identifier.volume45
dc.identifier.wosWOS:001244252100001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofPolymer Composites
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectcomposite PLA
dc.subjectFDM
dc.subjectgray relational analysis
dc.subjectparameter optimization
dc.subjectTaguchi approach
dc.titleMulti-objective optimization of 3D printing process parameters using gray-based Taguchi for composite PLA parts
dc.typeArticle

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