A hybrid ANN/PSO optimization of material composition and process parameters for enhancement of mechanical characteristics of 3D-printed sample

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dc.authoridSeyedzavvar, Mirsadegh/0000-0002-3324-7689
dc.contributor.authorSeyedzavvar, Mirsadegh
dc.date.accessioned2025-01-06T17:37:51Z
dc.date.available2025-01-06T17:37:51Z
dc.date.issued2023
dc.description.abstractPurposeThis paper aims to study the effects of inorganic CaCO3 nanoadditives in the polylactic acid (PLA) matrix and fused filament fabrication (FFF) process parameters on the mechanical characteristics of 3D-printed components. Design/methodology/approachThe PLA filaments containing different levels of CaCO3 nanoparticles have been produced by mix-blending/extrusion process and were used to fabricate tensile and three-point bending test samples in FFF process under various sets of printing speed (PS), layer thickness (LT), filling ratio (FR) and printing pattern (PP) under a Taguchi L27 orthogonal array design. The quantified values of mechanical characteristics of 3D-printed samples in the uniaxial and the three-point bending experiments were modeled and optimized using a hybrid neural network/particle swarm optimization algorithm. The results of this hybrid scheme were used to specify the FFF process parameters and the concentration of nanoadditive in the matrix that result in the maximum mechanical properties of fabricated samples, individually and also in an accumulative response scheme. Diffraction scanning calorimetry (DSC) tests were conducted on a number of samples and the results were used to interpret the variations observed in the response variables of fabricated components against the FFF parameters and concentration of CaCO3 nanoadditives. FindingsThe results of optimization in an accumulative scheme showed that the samples of linear PP, fabricated at high PS, low LT and at 100% FR, while containing 0.64% of CaCO3 nanoadditives in the matrix, would possess the highest mechanical characteristics of 3D-printed PLA components. Originality/valueFFF is a widely accepted additive manufacturing technique in production of different samples, from prototypes to the final products, in various sectors of industry. The incorporation of chopped fibers and nanoparticles has been introduced recently in a few articles to improve the mechanical characteristics of produced components in FFF technique. However, the effectiveness of such practice is strongly dependent on the extrusion parameters and composition of polymer matrix.
dc.description.sponsorshipScientific Research Coordination Unit of Adana Alparslan Tuuml;rkes Science and Technology University [22303004]
dc.description.sponsorshipThis work was supported by Scientific Research Coordination Unit of Adana Alparslan Turkes Science and Technology University with project number of 22303004.
dc.identifier.doi10.1108/RPJ-10-2022-0338
dc.identifier.endpage1288
dc.identifier.issn1355-2546
dc.identifier.issn1758-7670
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85149262306
dc.identifier.scopusqualityQ1
dc.identifier.startpage1270
dc.identifier.urihttps://doi.org/10.1108/RPJ-10-2022-0338
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2395
dc.identifier.volume29
dc.identifier.wosWOS:000939472100001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherEmerald Group Publishing Ltd
dc.relation.ispartofRapid Prototyping Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectFFF process
dc.subjectPLA
dc.subjectCaCO3 nanocomposite
dc.subjectANN
dc.subjectPSO hybrid optimization
dc.subjectPrinting parameters
dc.subjectNanoparticle concentration
dc.titleA hybrid ANN/PSO optimization of material composition and process parameters for enhancement of mechanical characteristics of 3D-printed sample
dc.typeArticle

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