Optimization of orocessing parameters for 3D printed product using Taguchi method and desirability function analysis

dc.contributor.authorYasmin, Farhana
dc.contributor.examiningcommitteeKhoshdarregi, Matt (Mechanical Engineering)
dc.contributor.examiningcommitteeXing, Malcolm (Mechanical Engineering)
dc.contributor.supervisorPeng, Qingjin
dc.date.accessioned2024-03-21T18:16:43Z
dc.date.available2024-03-21T18:16:43Z
dc.date.issued2024-02-22
dc.date.submitted2024-03-12T23:15:29Zen_US
dc.date.submitted2024-03-13T18:00:50Zen_US
dc.date.submitted2024-03-14T18:16:40Zen_US
dc.degree.disciplineMechanical Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)
dc.description.abstractAdditive Manufacturing (AM) or 3D printing technologies use fused layers of the material to build the cross-sectional geometry of the product. As variable processing parameters have an impact on product quality, it is crucial to ascertain the relationships of AM process parameters, productivity, sustainability, and structure performance. This research investigates the effect of the fused deposition modeling (FDM) process parameters on the response variables, including mechanical attributes, energy consumption, material consumption, and manufacturing time of the 3D printed product. Experiments are conducted for the FDM variable parameters of the infill pattern, infill density, layer height, printing speed, printing temperature, and wall thickness. Design of the experiment approach is used to determine the best combination of the chosen parameters. A L18 orthogonal design method is employed to collect the testing data. Taguchi and analysis of variance methods are applied in the data analysis of variable FDM parameter settings. The research finds different effects on the response variables. The optimization of response characteristics is performed using the multi-objective optimization desirability technique. The best combinations of process parameters are obtained for the chosen response variables.
dc.description.noteMay 2024
dc.description.sponsorshipMitacs , North Forge
dc.identifier.urihttp://hdl.handle.net/1993/38069
dc.language.isoeng
dc.subject3D printing
dc.subjectAdditive manufacturing (AM)
dc.subjectDesign of experiment (DOE)
dc.subjectOptimization
dc.subjectTaguchi method
dc.subjectDesirability Function Analysis
dc.titleOptimization of orocessing parameters for 3D printed product using Taguchi method and desirability function analysis
local.subject.manitobano
oaire.awardTitleAccelerate Lab2Market
project.funder.identifierU of M: https://doi.org/10.13039/100010318
project.funder.nameUniversity of Manitoba
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