Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
ROBOTIC ADDITIVE MANUFACTURING SYSTEM: DEVELOPMENT OF MATHEMATICAL MODELING TO PREPARE 3D PRINTING PROCESSES FOR ABS COPOLYMER
Submission Author:
Eduardo Costa Pulquerio , SP
Co-Authors:
Eduardo Costa Pulquerio, Arthur Pasotti, Gustavo Barbosa, Sidney Bruce Shiki
Presenter: Eduardo Costa Pulquerio
doi://10.26678/ABCM.COBEM2023.COB2023-0922
Abstract
Additive manufacturing (AM) is a disruptive production technology with enormous potential to replace conventional manufacturing methods. AM has performed a significant role in industrial manufacturing which means an optimistic perspective to increase of it use. AM based on polymer extrusion that uses prefabricated filaments is known as FFF (Fused Filament Fabrication). Outspreading the FFF technology, the FGF (Fused Granular Fabrication) appears as technology in which an industrial extruder is coupled to the printing system so the polymer is fed as granules or powder directly into the extruder feeder. Even as further advancement of both technologies, this paper uses Robotic Additive Manufacturing in which a single-screw extruder was coupled to an anthropomorphic robotic arm for printing samples in ABS copolymer. The most important parameters of the printing process were evaluated (extruder screw rotational speed - wm; robot translation speed - vt; and nominal layer height - Δzref) to ensure regular and constant geometry of the deposited layer. Samples (one-layer 200mm long deposited tracks) combining variations of wm, vt and Δzref were obtained. The layer height (hz) and the layer width (wdt) were measured to generate average values of height (hzmean) and width (wdtmean). The difference between hzmean and Δzref determined Δzdiff. Regression analysis has been performed to describe the relationship between the process parameters and Δzdiff, hzmean and wdtmean. The obtained mathematical models show how all factors and some interactions between them influence the responses on the deposited track layer. Those models are useful to set up combinations of process parameters that provide a null Δzdiff (or nearly null), and to estimate height and width dimensions of the deposited layer in a printing trajectory. Those dimensions are useful as input data in slicing software for manufacturing complex 3D objects or parts.
Keywords
Robotic Additive Manufacturing, Material Extrusion Additive Manufactuing, FGF
