Modeling the shape of additive manufactured parts

Modeling the shape of additive manufactured parts

BRUNI Carlo, CICCARELLI Daniele, PIERALISI Massimiliano, MANCIA Tommaso

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Abstract. The additive manufactured parts can be made by the use of suitable layer thicknesses of the polymer in order to respect the requirements of a refined geometry and of a surface appearance of the physical object that should be as similar as possible to the original CAD model. An other important variable is the digital datum that can represent a key variable of the realization procedure. The methodology proposed and followed in the present investigation got the objective to get a physical model, through the information obtained by a 3D scanning device, taking into consideration not only the digital treatment but also the building direction to guide the FDM layer deposition in order to realize the required surface appearance. The profiles of the specimen in the digital environment were compared to each other before realizing. The physical object obtained after digital treatment was similar to the one obtained by the original CAD.

FDM, Modeling, Additive Manufacturing

Published online 4/19/2023, 8 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: BRUNI Carlo, CICCARELLI Daniele, PIERALISI Massimiliano, MANCIA Tommaso, Modeling the shape of additive manufactured parts, Materials Research Proceedings, Vol. 28, pp 13-20, 2023


The article was published as article 2 of the book Material Forming

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[1] W. Zha, S. Anand, Geometric approaches to input file modification for part quality improvement in additive manufacturing. J. Manuf. Proc. 20 (2015) 465-477.
[2] C. Bruni, T. Mancia, L. Greco, M. Pieralisi, Additive Manufacturing using UV Polymerization of Complex Surfaces Generated by Two Main B-Splines. Procedia Manuf. 47 (2020) 1078-1083.
[3] Y. Song, Z. Yang, Y. Liu, J. Deng, Function representation based slicer for 3D printing, Comput Aided Geom D 62 (2018) 276-293.
[4] A. Manadhachary, Y. Ravi Kumar, L. Krishnanand, Improve the accuracy, surface smoothing and material adaptation in STL file for RP medical models, J. Manuf. Process. 21 (2016) 46-55.
[5] Q. Qi, P.J. Scott, X. Jiang, Status, comparison, and future of the representations of additive manufacturing data, Computer-Aided Design 111 (2019) 44-64.
[6] C. Bruni, L. Greco, T. Mancia, M. Pieralisi, 24th International Conference on Material Forming (ESAFORM 2021) Integrating layer by layer manufacturing for the realization of polymer complex geometries with scanning devices: re-building by digital data.
[7] N. Decker, Y. Wang, Q. Huang, Efficiently registering scan point clouds of 3D printed parts for shape accuracy assessment and modeling, J. Manuf. Syst. 56 (2020) 587-597.
[8] F. Dickin, S. Pollard, G. Adams, Mapping and correcting the distortion of 3D structured light scanners. Precis. Eng. 72 (2021) 543–555.
[9] K. Wi, V. Suresh, K. Wang, B. Li , H. Qin, Quantifying quality of 3D printed clay objects using a 3D structured light scanning system, Additive Manufacturing 32 (2020) 100987.
[10] S. Yin, Y. Ren, Y. Guo, J. Zhu, S. Yang, S. Ye, Development and calibration of an integrated 3D scanning system for high-accuracy large-scale metrology, Measurement 54 (2014) 65-76.
[11] X. Chen, G. Liu, Z. Chen, Y. Li, C. Luo, B. Luo, X. Zhang, Automatic detection system with 3D scanning and robot technology fordetecting surface dimension of the track slabs, Automat. Constr. 142 (2022) 104525.