Surface Quality Optical Measurement of Part Inclined Planes Manufactured by FDM Technology

Article Preview

Abstract:

Fused Filament Deposition (FDM) additive manufacturing technology allows the generation of three-dimensional parts by overlapping layers of an extruded polymer. The staircase effect caused by overlapping is well known and makes the manufactured parts have poor surface quality. This problem has been focused on by numerous works trying to optimize the surface quality by studying the process technological parameters or part geometry. Also, post-processing techniques have been developed that improve this roughness, but which involve an increase in manufacturing time and cost. In this work, a methodology to measure the roughness based on laser confocal microscopy is proposed. To evaluate the methodology, an experimental study is carried out that relates the surface roughness of parts manufactured with FDM with the building orientation and the layer height. The main objective of this study is to compare two roughness measurement methodologies: a mechanical measurement with a conventional contact roughness meter, and an optical measurement with a confocal microscope. The contact roughness meter provides a direct value of the roughness of the part wall profile, while the confocal microscope provides an image of the three-dimensional surface of the part wall, which must be processed. The data from the confocal microscope are evaluated with the Internet-based software Surface Metrology Algorithm Testing System (SMATS) developed by the National Institute of Standards and Technology (NIST) of the USA. The SMATS will provide an average value of the roughness of the analyzed surface. The test results with both methodologies are very similar, with an average difference of 5%. These results show the influence of the printed plane inclination angle on the roughness, which is higher for low values of the angle. It can also be seen that this influence decreases for low-layer heights.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

45-55

Citation:

Online since:

October 2023

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2023 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] T. Yamazaki, Development of A Hybrid Multi-tasking Machine Tool: Integration of Additive Manufacturing Technology with CNC Machining. Procedia CIRP, 42 (2016) 81–86.

DOI: 10.1016/j.procir.2016.02.193

Google Scholar

[2] H. Bikas, P. Stavropoulos, G. Chryssolouris, Additive manufacturing methods and modeling approaches: A critical review. International Journal of Advanced Manufacturing Technology, 83 (2016) 389–405.

DOI: 10.1007/s00170-015-7576-2

Google Scholar

[3] M. Pérez, G. Medina-Sánchez, A. García-Collado, M. Gupta, D. Carou, Surface quality enhancement of fused deposition modeling (FDM) printed samples based on the selection of critical printing parameters. Materials, 11 (2018).

DOI: 10.3390/ma11081382

Google Scholar

[4] F. M. Mwema, E. T. Akinlabi, Basics of Fused Deposition Modelling (FDM). In SpringerBriefs in Applied Sciences and Technology (2020) 1–15.

DOI: 10.1007/978-3-030-48259-6_1

Google Scholar

[5] V. Reddy, O. Flys, A. Chaparala, C.E. Berrimi, V. Amogh, B. G. Rosen, Study on surface texture of Fused Deposition Modeling. Procedia Manufacturing, 25 (2018) 389–396.

DOI: 10.1016/j.promfg.2018.06.108

Google Scholar

[6] B. Vasudevarao, D. P. Natarajan, M. Henderson, A. Razdan, Sensitivity of RP surface finish to process parameter variation 251 (2000) 2000 International Solid Freeform Fabrication Symposium.

Google Scholar

[7] X. Huang, Z, Shen, S. Yang, Effect of Fabrication Parameters and Material Features on Surface Roughness of FDM Build Parts. 3rd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2018) 100-103. Atlantis Press.

DOI: 10.2991/jimec-18.2018.21

Google Scholar

[8] M. K. Kim, I. H. Lee, H. C. Kim, Effect of fabrication parameters on surface roughness of FDM parts. International Journal of Precision Engineering and Manufacturing, 19 (2018) 137–142.

DOI: 10.1007/s12541-018-0016-0

Google Scholar

[9] L. Yang, S. Li, Y. Li, M. Yang, Q. Yuan, Experimental Investigations for Optimizing the Extrusion Parameters on FDM PLA Printed Parts. Journal of Materials Engineering and Performance, 28 (2019) 169–182.

DOI: 10.1007/s11665-018-3784-x

Google Scholar

[10] V. Reddy, O. Flys, A. Chaparala, C. E. Berrimi, V. Amogh, B. G. Rosen, Study on surface texture of Fused Deposition Modeling. Procedia Manufacturing, 25 (2018) 389–396.

DOI: 10.1016/j.promfg.2018.06.108

Google Scholar

[11] I. Buj-Corral, A. Domínguez-Fernández, R. Durán-Llucià, Influence of print orientation on surface roughness in fused deposition modeling (FDM) processes. Materials, 12 (2019) 3834.

DOI: 10.3390/ma12233834

Google Scholar

[12] A. Lalehpour, A. Barari, A more accurate analytical formulation of surface roughness in layer-based additive manufacturing to enhance the product's precision. International Journal of Advanced Manufacturing Technology, 96 (2018) 3793–3804.

DOI: 10.1007/s00170-017-1448-x

Google Scholar

[13] S. Rahmati, E. Vahabli, Evaluation of analytical modeling for improvement of surface roughness of FDM test part using measurement results. International Journal of Advanced Manufacturing Technology, 79 (2015) 823–829.

DOI: 10.1007/s00170-015-6879-7

Google Scholar

[14] D. Keon Ahn, H. Chan Kim, S. Hee Lee, Determination of Fabrication Direction to Minimize Post-machining in FDM by Prediction of Non-linear Roughness Characteristics. Journal of Mechanical Science and Technology 19 (2005).

DOI: 10.1007/bf02916113

Google Scholar

[15] Information on https://physics.nist.gov/VSC/jsp/index.jsp

Google Scholar

[16] J. P. Davim, Design of Experiments in Production Engineering. Springer (2016).

Google Scholar

[17] H. K. Dave, J. P. Davim. Fused Deposition Modeling Based 3D Printing. Springer (2021).

Google Scholar