Roughness Regression Functions of 3D Printed PLA Parts Surfaces Machined by CNC Milling

Author:

Lazăr Marius‐Vali1ORCID,Gheorghe Marian1,Alexandru Tudor George2

Affiliation:

1. Manufacturing Engineering Department National University of Science and Technology Politehnica Bucharest Splaiul Independenței St., 113 060042 Bucharest Romania

2. Robots and Manufacturing Systems Department National University of Science and Technology Politehnica Bucharest Splaiul Independenței St., 113 060042 Bucharest Romania

Abstract

AbstractSome 3D printed polylactic acid (PLA) parts, as components of molds for silicone, resin, and other materials, require fine roughness of their active surfaces. One method to improve the printed surface roughness is machining by fine milling. The present paper addresses issues of surface roughness that is generated by milling of 3D printed PLA parts. An experimental setup is developed, comprising of multiple samples which are subjected to the same cutting process, but considering various parameter settings on cutting speed and the feed rate. The roughness of each specimen is evaluated under a standardized procedure. The results are stored in a dataset for developing multivariable regression functions. The main outcome of the research consists of predicting the roughness of the surfaces that are subjected to the milling process, by considering a set of working parameters as independent variables.

Publisher

Wiley

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