Paper Titles
Preface
Rib Geometry in FDM of Light Alloys
p.1
Machine Learning Topography Prediction and Optimization in Maskless Grayscale Laser Lithography
p.11
A Comparative Analysis of LPBF Process Maps for S2 and S6 Grades Tool Steel
p.21
Laser Powder Bed Fusion of Inconel® 625: Guidelines for Robust Parameter Selection Toward Optimal Quality Parts
p.31
Numerical Modelling of Directed Energy Deposition and Experimental Validation Based on Digital Image Correlation
p.41
Advanced Characterization of Flexible Auxetic Resin Lattice Structures Produced by Stereolithography
p.53
Evaluation of Sla Biocompatible Resins Properties for Use as Dielectric Layers in 3D Printed Capacitive Force Sensors
p.65
A Physics Informed Machine Learning Framework towards Density Prediction of Additively Manufactured Components
p.73

Rib Geometry in FDM of Light Alloys

Article Preview
View Pdf By email

Abstract:

The present paper got the objective to propose and apply a methodology based on plastic behaviour modeling of a magnesium alloy AZ31 and on a Navier-Stokes approach to describe the rib geometry during printing by FDM (Fused deposition modeling). By the plastic modeling the rib section in terms of equivalent radius is obtained by the application of an already proposed constitutive equation under semisolid condition. The same information is obtained by the calculation of dynamic viscosity coefficient of the material under different conditions of nominal extruder nozzles that are 0.3 and 0.1 mm in radius with related extrusion velocity and internal pressure. The rib radius obtained by the plastic model is higher when the big nozzle is used compared with that given by the Navier-Stokes approach while an opposite behaviour is evidenced with the small nozzle where the apparent viscosity is higher. Increasing printing velocity similar rib dimensions are obtained in both the cases.

You might also be interested in these eBooks
Additive Manufacturing View Preview

Info:

Periodical:

Key Engineering Materials (Volume 1047)

Pages:

1-9

Online since:

April 2026

Authors:

Carlo Bruni*

Keywords:

Fuse Deposition Modeling (FDM), Modeling, Rib Geometry

Export:

RIS, BibTeX

Permissions:

Creative Commons CC BY 4.0

Share:

* - Corresponding Author

References

[1] B. Liu, Y. Wang , Z. Lin, T. Zhang, Creating metal parts by Fused Deposition Modeling and Sintering, Materials letter 263 (2020) 127252.

DOI: 10.1016/j.matlet.2019.127252

Google Scholar

[2] T. Schuller, M. Jalaal, P. Fanzio, F. J. Galindo-Rosales, Optimal shape design of printing nozzles for extrusion-based additive Manufacturing, Additive Manufacturing 84 (2024) 104130.

DOI: 10.1016/j.addma.2024.104130

Google Scholar

[3] H. Yu, W. Zhang, B. Yin, W. Sun, A. Akbar, Y. Zhang, K.M. Liew, Modeling extrusion process and layer deformation in 3D concrete printing via smoothed particle hydrodynamics, Computer Methods in Applied Mechanics and Engineering 420 (2024) 116761.

DOI: 10.1016/j.cma.2024.116761

Google Scholar

[4] J. A. Naranjo, C. Berges, A. Gallego, G. Herranz, A novel printable high-speed steel filament: Towards the solution for wear-resistant customized tools by AM alternative, Journal of Materials Research and Technology, 11 (2021) 1534-1547.

DOI: 10.1016/j.jmrt.2021.02.001

Google Scholar

[5] S. Altıparmak, Victoria A. Yardley, Z. Shi, J. Lin. Extrusion-based additive manufacturing technologies: State of the art and future perspectives, Journal of Manufacturing Processes, 607–636. (2022).

DOI: 10.1016/j.jmapro.2022.09.032

Google Scholar

[6] G. C. Nzebuka, C. O. Ufodike, A. M. Rahmane, M. B. Minus, C. P. Egole, Thermal-fluid modeling and simulation of Ti-6Al-4V alloy filaments during shaping in the hot-end of material extrusion additive manufacturing, Journal of Manufacturing Processes 131 (2024) 866–878.

DOI: 10.1016/j.jmapro.2024.09.040

Google Scholar

[7] C. Bruni, Semisolid deposition of metallic material by extrusion-base analytical and simulative methodologies, Materials Research Proceedings 44 (2024) 433-44.

DOI: 10.21741/9781644903254

Google Scholar

[8] C. Bruni, M. El Mehtedi, F. Gabrielli, Flow curve modelling of a ZM21 magnesium alloy and finite element simulation in hot deformation, Key Engineering Materials Vols. 622-623 (2014).

DOI: 10.4028/www.scientific.net/KEM.622-623.588

Google Scholar

[9] Qi. Wang, L. Wang, J. Xu, H. Zhai, Y. Chen, S. Xia, X. Qin, Y. Li, B. Jiang, D. Chen, Extrusion limit diagram of Mg–5Bi–3Al–1Zn alloy and effects of extrusion parameters on its microstructures and mechanical properties. Journal of Materials Research and Technology 29 (2024) 5166–5179.

DOI: 10.1016/j.jmrt.2024.02.182

Google Scholar

[10] Z. Zhang , S. Xia , X. Chen , L. Wang, Q. Wang , J. Xu , X. Qin , M. Ali , W. Wang , W. Huang, B. Jiang. Achieving ultra-high extrusion speed and strength-ductility synergy in a BAZ531 magnesium alloy via differential-thermal extrusion Materials Science and Engineering: A, 923 2025 147687.

DOI: 10.1016/j.msea.2024.147687

Google Scholar

[11] Xi. Huo, B .Zhang, Q. Han, Y. Huang, J. Yin, Numerical simulation and printability analysis of fused deposition modeling with dual-temperature control, Bio-Design and Manufacturing (2023) 6:174–188. 7.

DOI: 10.1007/s42242-023-00239-1

Google Scholar

[12] C. Bruni et al., Constitutive models for AZ31 Magnesium alloys, Key Engineering Materials, 36.

DOI: 10.4028/www.scientific.net/KEM.367.87

Google Scholar

[13] J. Feng, D. Zhang, H. Hu, Y. Zhao, X. Chen, B. Jiang, F. Pan, Improved microstructures of AZ31 magnesium alloy by semi-solid extrusion, Materials Science & Engineering A 800 (2021) 140204.

DOI: 10.1016/j.msea.2020.140204

Google Scholar

[14] N. Bontcheva , G. Petzov , L. Parashkevova, Thermomechanical modelling of hot extrusion of Al-alloys,followed by cooling on the press, Computational Materials Science 38 (2006) 83–89.

DOI: 10.1016/j.commatsci.2006.01.009

Google Scholar

[15] Y. Dewang, J. Raghuwanshi,V. Sharma, Finite element analysis of extrusion process using aluminum alloy, Materials Today: Proceedings 24 (2020) 500–509.

DOI: 10.1016/j.matpr.2020.04.302

Google Scholar

[16] R. N. Abdullaev, R. A. Khairulin, Yu. M. Kozlovskii, A. Sh. Agazhanov, S. V. Stamkus. Density of magnesium and magnesium–lithium alloys in solid and liquid states, Nonferrous Met. Soc. China 29(2019) 507−514.

DOI: 10.1016/S1003-6326(19)64959-9

Google Scholar

[17] T. A. Osswald, J. Puentes, J. Kattinger. Fused filament fabrication melting model, Additive Manufacturing 22 (2018) 51–59.

DOI: 10.1016/j.addma.2018.04.030

Google Scholar

[18] Y. G. Mittal, G. Gote, Y. Patil, A. K. Mehta, P. Kamble, K.P. Karunakaran, Investigations on ironing parameters in screw extrusion additive manufacturing, Manufacturing Letters 41 (2024) 822-831.

DOI: 10.1016/j.mfglet.2024.09.102

Google Scholar