Abstract
In additive manufacturing, the part geometry, including its internal structure, can be optimized to answer functional requirements by optimizing process parameters. This can be performed by linking process parameters to the resulting manufactured geometry. This paper deals with an original method for surface geometry characterization of printed parts (using Fused Filament Fabrication FFF) based on 3D Computer Tomography (CT) measurements. From 3D measured data, surface extraction is performed, giving a set of skin voxels corresponding to the internal and external part surface. A multi-scale analysis method is proposed to analyse the relative internal area of the total surface obtained at different scales (from sub-voxel to super-voxel scales) with different process parameters. This analysis turns out to be relevant for filling strategy discrimination.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ahn, D., Kweon, J.H., Kwon, S., Song, J., Lee, S.: Representation of surface roughness in fused deposition modeling. Journal of Materials Processing Technology 209(15-16), 5593 – 5600 (2009)
Galantucci, L., Lavecchia, F., Percoco, G.: Experimental study aiming to enhance the surface finish of fused deposition modeled parts. CIRP Annals - Manufacturing Technology 58(1), 189 – 192 (2009)
Pandey, P.M., Reddy, N.V., Dhande, S.G.: Improvement of surface finish by staircase machining in fused deposition modeling. Journal of Materials Processing Technology 132(1-3), 323 – 331 (2003)
Zeng, Y., Wang, K., Wang, B., Brown, C.: Multi-scale evaluations of the roughness of surfaces made by additive manufacturing. In: ASPE - 2014 Spring Topical Meeting (2014)
Jamiolahmadi, S., Barari, A.: Surface topography of additive manufacturing parts using a finite difference approach. Journal of Manufacturing Science in Engineering 136(4), 1–8 (2014)
Yurivania, P., KarlaP, M., Joaquim, C.: Influence of process parameters on surface quality of cocrmo produced by selective laser melting. The International Journal of Advanced Manufacturing Technology 80(5-8), 985–995 (2015)
Wang, J., Leach, R.K., Jiang, X.: Review of the mathematical foundations of data fusion techniques in surface metrology. Surface Topography: Metrology and Properties 3(2), 023,001 (2015)
Chiffre, L.D., Carmignato, S., Kruth, J.P., Schmitt, R., Weckenmann, A.: Industrial applications of computed tomography. CIRP Annals - Manufacturing Technology 63(2), 655 – 677 (2014)
Bartscher, M., Hilpert, U., Goebbels, J., Weidemann, G.: Enhancement and proof of accuracy of industrial computed tomography (ct) measurements. CIRP Annals - Manufacturing Technology 56(1), 495 – 498 (2007)
Yage-Fabra, J., Ontiveros, S., Jimnez, R., Chitchian, S., Tosello, G., Carmignato, S.: A 3d edge detection technique for surface extraction in computed tomography for dimensional metrology applications. CIRP Annals - Manufacturing Technology 62(1), 531 – 534 (2013)
Dewulf, W., Kiekens, K., Tan, Y., Welkenhuyzen, F., Kruth, J.P.: Uncertainty determination and quantification for dimensional measurements with industrial computed tomography. CIRP Annals - Manufacturing Technology 62(1), 535 – 538 (2013)
Lifton, J.J., Malcolm, A.A., McBride, J.W.: On the uncertainty of surface determination in x-ray computed tomography for dimensional metrology. Measurement Science and Technology 26(3), 035,003 (2015)
Kruth, J., Bartscher, M., Carmignato, S., Schmitt, R., Chiffre, L.D., Weckenmann, A.: Computed tomography for dimensional metrology . CIRP Annals - Manufacturing Technology 60(2), 821 – 842 (2011)
Carmignato, S.: Accuracy of industrial computed tomography measurements: Experimental results from an international comparison. CIRP Annals - Manufacturing Technology 61(1), 491 – 494 (2012)
Ontiveros, S., Yage, J., Jimnez, R., Brosed, F.:Computer tomography 3d edge detection comparative for metrology applications. Procedia Engineering 63, 710 – 719 (2013). The Manufacturing Engineering Society International Conference, MESIC 2013
Otsu, N.: A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics 9(1), 62–66 (1979)
Shahabi, H., Ratnam, M.: Simulation and measurement of surface roughness via grey scale image of tool in finish turning. Precision Engineering 43, pp.146 – 153(2016)
Mehdi-Souzani, C., Quinsat, Y., Lartigue, C., Bourdet, P.: A knowledge database of qualified digitizing systems for the selection of the best system according to the application. CIRP Journal of Manufacturing Science and Technology pp. – (2016)
Jiménez,R.,Comps,C.,Yague,J.: An optimized segmentation algorithm for the surface extraction in ncomputed tomography for metrology applications. Procedia Engineering 132, 804 – 810 (2015). MESIC Manufacturing Engineering Society International Conference 2015
Brown, C.A., Johnsen, W.A., Hult, K.M.: Scale-sensitivity, fractal analysis and simulations. International Journal of Machine Tools and Manufacture 38(5-6), 633 – 637 (1998)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
QUINSAT, Y., LARTIGUE, C., BROWN, C.A., HATTALI, L. (2017). Multi-scale surface characterization in additive manufacturing using CT. In: Eynard, B., Nigrelli, V., Oliveri, S., Peris-Fajarnes, G., Rizzuti, S. (eds) Advances on Mechanics, Design Engineering and Manufacturing . Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-45781-9_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-45781-9_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-45780-2
Online ISBN: 978-3-319-45781-9
eBook Packages: EngineeringEngineering (R0)