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dc.contributor.authorRaghavendra, B. V.
dc.contributor.authorAnnigeri R., Anandkumar
dc.contributor.authorSrikantamurthy, J. S.
dc.contributor.authorUnzueta, Gorka
dc.date.accessioned2025-11-21T07:52:44Z
dc.date.available2025-11-21T07:52:44Z
dc.date.issued2025
dc.identifier.issn1819-6608en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=200324en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/13988
dc.description.abstractThis study focuses on optimizing key design parameters in the Fused Deposition Modeling (FDM) process, a widely used method in 3D printing. Using response surface methodology (RSM), a regression model was developed to analyze the effects of six critical variables: temperature, nozzle movement speed, layer thickness, extrusion width, test tube positioning, and internal infill angle. Each variable was investigated at two levels to evaluate its influence on the mechanical properties of 3D-printed materials. A comprehensive set of 64 experimental tests was conducted to examine three key objective functions: Young's modulus, which measures material stiffness; breakage tension, indicative of the material's tensile strength; and breakage deformation, representing its flexibility under stress. The findings revealed that nozzle movement speed, temperature, and positioning were primary contributors to variations in Young’s modulus. For breakage tension, speed, layer thickness, and positioning emerged as significant factors. Similarly, nozzle speed, extrusion width, and positioning were found to strongly influence breakage deformation. Statistical analysis highlighted the significance of the process for optimizing Young’s modulus and breakage tension, with a p-value < 0.05 indicating strong evidence against the null hypothesis. However, the process's impact on breakage deformation was not statistically significant, suggesting the need for further investigation or potential inclusion of additional variables. These insights underline the criticality of parameter optimization in enhancing the structural integrity and mechanical performance of 3D-printed components. The study demonstrates the effectiveness of RSM in systematically identifying and quantifying interactions between variables, providing a pathway for improving FDM outputs. By fine-tuning the process parameters, manufacturers can achieve desired mechanical properties tailored to specific applications, advancing the potential of FDM in diverse industries.en
dc.language.isoengen
dc.publisherARPNen
dc.rights©2006-2025 Asian Research Publishing Network (ARPN). All rights reserved.en
dc.subjectMathematical modelen
dc.subject3D printingen
dc.subjectSurfaceen
dc.titleModeling and analysis of design parameters and interactions in 3D-printed components using response surface methodologyen
dcterms.accessRightshttp://purl.org/coar/access_right/c_f1cfen
dcterms.sourceARPN Journal of Engineering and Applied Sciencesen
local.contributor.groupDirección de operaciones logístico productivases
local.description.peerreviewedtrueen
local.description.publicationfirstpage442en
local.description.publicationlastpage449en
local.identifier.doihttps://doi.org/10.59018/042557en
local.embargo.enddate2145-12-31
local.contributor.otherinstitutionJSS Academy of Technical Education (Bengaluru, India)en
local.source.detailsVol. 20. N. 8. April 2025en
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en
dc.unesco.tesaurohttp://vocabularies.unesco.org/thesaurus/concept9777en
dc.unesco.clasificacionhttp://skos.um.es/unesco6/531109en


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