JOURNAL ARTICLE

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

  • Published In: Macromolecular Symposia, 2024, v. 413, n. 3. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Lazăr, Marius‐Vali; Gheorghe, Marian; Alexandru, Tudor George 3 of 3

Abstract

Some 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. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Macromolecular Symposia. 2024/06, Vol. 413, Issue 3, p1
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2024
  • ISSN:1022-1360
  • DOI:10.1002/masy.202300211
  • Accession Number:178020796
  • Copyright Statement:Copyright of Macromolecular Symposia is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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