Muhammad Reza Oliaee
Simulation-Based Optimisation of Additive Manufacturing Process Parameters for Accurate Polymer Gear Production.
Rel. Carlo Rosso, Cristiana Delprete, Daniele Catelani. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2025
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Abstract
In collaboration with MSC Software Italia - Hexagon, this thesis aims to leverage finite element simulation to implement a workflow for enhancing the dimensional accuracy of additively manufactured polymer parts. Specifically, the production gears out of polyamide 12 (PA12), using fused filament fabrication (FFF) and selective laser sintering (SLS) technologies, are studied. The study begins with a comprehensive literature review to identify the process parameters that significantly affect warpage, followed by the establishment of an appropriate testing range for these parameters. To efficiently design the simulation experiments, the Taguchi method is employed for the design of experiments (DOE), enabling a systematic investigation of parameter interactions.
A full factorial DOE is also implemented for the application of annealing when needed
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