Literature DB >> 34301141

Analysis of AM Parameters on Surface Roughness Obtained in PLA Parts Printed with FFF Technology.

Irene Buj-Corral1, Xavier Sánchez-Casas1, Carmelo J Luis-Pérez2.   

Abstract

Fused filament fabrication (FFF) 3D printing technology allows very complex parts to be obtained at a relatively low cost and in reduced manufacturing times. In the present work, the effect of main 3D printing parameters on roughness obtained in curved surfaces is addressed. Polylactic acid (PLA) hemispherical cups were printed with a shape similar to that of the acetabular part of the hip prostheses. Different experiments were performed according to a factorial design of experiments, with nozzle diameter, temperature, layer height, print speed and extrusion multiplier as variables. Different roughness parameters were measured-Ra, Rz, Rku, Rsk-both on the outer surface and on the inner surface of the parts. Arithmetical mean roughness value Ra and greatest height of the roughness profile Rz are usually employed to compare the surface finish among different manufacturing processes. However, they do not provide information about the shape of the roughness profile. For this purpose, in the present work kurtosis Rku and skewness Rsk were used. If the height distribution in a roughness profile follows a normal law, the Rku parameter will take a value of 3. If the profile distribution is symmetrical, the Rsk parameter will take a value of 0. Adaptive neural fuzzy inference system (ANFIS) models were obtained for each response. Such models are often employed to model different manufacturing processes, but their use has not yet been extended to 3D printing processes. All roughness parameters studied depended mainly on layer height, followed by nozzle diameter. In the present work, as a general trend, Rsk was close to but lower than 0, while Rku was slightly lower than 3. This corresponds to slightly higher valleys than peaks, with a rounded height distribution to some degree.

Entities:  

Keywords:  ANFIS; FFF; additive manufacturing; modeling; surface roughness

Year:  2021        PMID: 34301141     DOI: 10.3390/polym13142384

Source DB:  PubMed          Journal:  Polymers (Basel)        ISSN: 2073-4360            Impact factor:   4.329


  3 in total

1.  Procedure Increasing the Accuracy of Modelling and the Manufacturing of Surgical Templates with the Use of 3D Printing Techniques, Applied in Planning the Procedures of Reconstruction of the Mandible.

Authors:  Paweł Turek; Paweł Pakla; Grzegorz Budzik; Bogumił Lewandowski; Łukasz Przeszłowski; Tomasz Dziubek; Sławomir Wolski; Jan Frańczak
Journal:  J Clin Med       Date:  2021-11-25       Impact factor: 4.241

2.  Modeling of the Influence of Input AM Parameters on Dimensional Error and Form Errors in PLA Parts Printed with FFF Technology.

Authors:  Carmelo J Luis-Pérez; Irene Buj-Corral; Xavier Sánchez-Casas
Journal:  Polymers (Basel)       Date:  2021-11-27       Impact factor: 4.329

3.  Additive Manufacturing of Anatomical Poly(d,l-lactide) Scaffolds.

Authors:  Dario Puppi; Gianni Pecorini; Gianluca Parrini
Journal:  Polymers (Basel)       Date:  2022-09-27       Impact factor: 4.967

  3 in total

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