Selective Laser Melting of Titanium Alloys: Simulation of Scanning Speed Effects with High Layer Thickness

Article Preview

Abstract:

The Selective Laser Melting (SLM) process involves directing a laser beam onto a powder bed to create intricate metal parts. However, the as-built quality is strongly influenced by several process parameters, especially, laser power, scanning speed, layer thickness, and hatch spacing. Therefore, this study explored the impact of varying scanning speed (800 to 1,400 mm/s) on the temperature distribution and morphology of the melt pool using Ti-6Al-4V material with a high layer thickness of 80 μm and constant laser power of 170 W using numerical simulation. The temperature distribution, assessed from the top view and at the cross-sectional plane, showed that a lower scanning speed (v) or higher Linear Energy Density (LED) results in a wider hot zone. The effect of scanning speed on melt pool morphology and dimensions is demonstrated through the classification of molten pools based on the width-to-depth ratio of the melt track. The higher scanning speeds resulted in a transition mode, while low scanning speeds led to the formation of a keyhole mode. The findings indicate that under these specified conditions of laser power and powder layer thickness for Ti-6Al-4V, a scanning speed of 1000 mm/s is optimal, as it produces a weld with a w/d ratio that avoids the problematic keyhole mode while maintaining good weld morphology and quality.

You might also be interested in these eBooks

Info:

Periodical:

Materials Science Forum (Volume 1141)

Pages:

11-18

Citation:

Online since:

December 2024

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2024 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Y. Xiang, S. Zhang, Z. Wei, J. Li, P. Wei, Z. Chen, L. Yang, and L. Jiang, Forming and defect analysis for single track scanning in selective laser melting of Ti6Al4V, Applied Physics A 124 (2018) 685.

DOI: 10.1007/s00339-018-2056-9

Google Scholar

[2] C. Wei, L. Li, X. Zhang, and Y.-H. Chueh, 3D printing of multiple metallic materials via modified selective laser melting, CIRP Annals 67 (2018) 245-248.

DOI: 10.1016/j.cirp.2018.04.096

Google Scholar

[3] W. Ge, J. Y. H. Fuh, and S. J. Na, Numerical modelling of keyhole formation in selective laser melting of Ti6Al4V, Journal of Manufacturing Processes 62 (2021) 646-654.

DOI: 10.1016/j.jmapro.2021.01.005

Google Scholar

[4] C. Qiu, C. Panwisawas, M. Ward, H. C. Basoalto, J. W. Brooks, and M. M. Attallah, On the role of melt flow into the surface structure and porosity development during selective laser melting, Acta Materialia 96 (2015) 72-79.

DOI: 10.1016/j.actamat.2015.06.004

Google Scholar

[5] X. Shi, C. Yan, W. Feng, Y. Zhang, and Z. Leng, Effect of high layer thickness on surface quality and defect behavior of Ti-6Al-4V fabricated by selective laser melting, Optics & Laser Technology 132 (2020) 106471.

DOI: 10.1016/j.optlastec.2020.106471

Google Scholar

[6] P. Ninpetch, P. Kowitwarangkul, S. Mahathanabodee, P. Chalermkarnnon, and P. Rattanadecho, Computational investigation of thermal behavior and molten metal flow with moving laser heat source for selective laser melting process, Case Studies in Thermal Engineering 24 (2021) 100860.

DOI: 10.1016/j.csite.2021.100860

Google Scholar

[7] L. Cao, Numerical simulation of the impact of laying powder on selective laser melting single-pass formation, International Journal of Heat and Mass Transfer 141 (2019) 1036-1048.

DOI: 10.1016/j.ijheatmasstransfer.2019.07.053

Google Scholar

[8] X. Ao, J. Liu, H. Xia, and Y. Yang, A numerical study on the mesoscopic characteristics of Ti-6Al-4V by selective laser melting, Materials (Basel) 15 (2022) 2850.

DOI: 10.3390/ma15082850

Google Scholar

[9] M. R. Azadi Tinat, M. Uddagiri, I. Steinbach, and I. López-Galilea, Numerical simulations to predict the melt pool dynamics and heat transfer during single-track laser melting of Ni-based superalloy (CMSX-4), Metals 13 (2023) 1091.

DOI: 10.3390/met13061091

Google Scholar

[10] R. Thongpron, P. Ninpetch, P. Chalermkarnnon, and P. Kowitwarangkul, Effect of hatch spacing in selective laser melting process of Ti-6Al-4V alloy on finished surface roughness: A computational study, Journal of Metals, Materials and Minerals 34 (2024) 1861.

DOI: 10.55713/jmmm.v34i3.1861

Google Scholar

[11] C. H. Fu and Y. B. Guo, Three-dimensional temperature gradient mechanism in selective laser melting of Ti-6Al-4V, ASME Journal of Manufacturing Science and Engineering 136 (2014) 061004.

DOI: 10.1115/1.4028539

Google Scholar

[12] K. C. Mills, Recommended Values of Thermophysical Properties for Selected Commercial Alloys, Woodhead Publishing Series in Metals and Surface Engineering (2002) 211-217.

DOI: 10.1533/9781845690144.211

Google Scholar

[13] D. Kouprianoff, I. Yadroitsava, A. du Plessis, N. Luwes, and I. Yadroitsev, Monitoring of laser powder bed fusion by acoustic emission: Investigation of single tracks and layers, Frontiers in Mechanical Engineering 7 (2021) 678076.

DOI: 10.3389/fmech.2021.678076

Google Scholar

[14] Q. Chen, Y. Zhao, S. Strayer, Y. Zhao, K. Aoyagi, Y. Koizumi, A. Chiba, W. Xiong, and A. C. To, Elucidating the effect of preheating temperature on melt pool morphology variation in Inconel 718 laser powder bed fusion via simulation and experiment, Additive Manufacturing 37 (2021) 101642.

DOI: 10.1016/j.addma.2020.101642

Google Scholar

[15] X. Chen, W. Mu, X. Xu, W. Liu, and L. Huang, Numerical analysis of double track formation for selective laser melting of 316L stainless steel, Applied Physics A 127 (2021) 586.

DOI: 10.1007/s00339-021-04728-x

Google Scholar

[16] Y. Xiang, S. Zhang, Z. Wei, J. Li, P. Wei, Z. Chen, L. Yang, and L. Jiang, Forming and defect analysis for single track scanning in selective laser melting of Ti6Al4V, Applied Physics A 124 (2018) 685.

DOI: 10.1007/s00339-018-2056-9

Google Scholar