Abstract
In this study, wear behavior of Poly Lactic Acid (PLA) parts manufactured by one of the additive manufacturing techniques Fused Deposition Modelling (FDM) is investigated and modelled via linear and non-linear identification. Transfer Function, Process Model and Nonlinear Autoregressive with Exogenous Input (NARX) model are used as modelling. Identified wear models are established according to wear tests conducted on Pin-on-disc test apparatus under constant load and constant sliding distance. Two different manufacturing orientations are chosen for the PLA pin specimens and wear tests are performed against steel and cast iron discs. Obtained results from the identified models are compared with the experimental results to select most efficient and reliable model structure.
Highlights
Used mechanical components are conventionally manufactured from metals and their alloys
The wear rate calculated for each experiment and the identified model simulations are shown in Figures 15 to 18
As it is shown in the figures, simulations with Nonlinear Autoregressive with Exogenous Input (NARX) models show better performance to predict the wear rate than transfer function and process models
Summary
Used mechanical components are conventionally manufactured from metals and their alloys Mechanical performances of these materials are remarkably improved over the years. Functional use in machine elements has come into use For this reason, it is important to investigate the mechanical properties of these parts. There are studies about wear behavior of polymers built by Fused Deposition Modelling [7,8,9,10]. These studies mostly focus on improving wear resistance of polymer by adding wear resistant materials as reinforcement such as Al2O3, SiC, Graphene etc
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