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Fracture Evaluation of Anisotropically Deformed Advanced High-Strength Sheet Steel through Stress-Based Forming Limit Curves and Fracture Loci
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Scanning Strategy Effects on Melt Pool Dynamics and Surface Quality in Selective Laser Melting of Ti-6Al-4V
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Scanning Strategy Effects on Melt Pool Dynamics and Surface Quality in Selective Laser Melting of Ti-6Al-4V

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Abstract:

Selective Laser Melting (SLM) is a promising technique for fabricating intricate metal components. The scanning strategy is a critical parameter that can be optimized to improve the quality of the final parts, as different strategies produce temperature distribution variations. It can impact on the melt pool dynamics and the mechanical properties of the fabricated components. In this study, four scanning strategies were investigated: uni-directional scanning, altered-sequence uni-directional scanning, bi-directional scanning, and altered-sequence bi-directional scanning. Their effects on localized temperature distribution, melt pool morphology, and surface roughness (Ra) during the SLM process of Ti-6Al-4V across five tracks were evaluated using numerical simulation. The simulations were performed using FLOW-3D AM. This simulation integrates the Discrete Element Method (DEM) with Computational Fluid Dynamics (CFD) model. The simulation results demonstrated that the scanning sequence and scanning direction directly effects on the localized temperature distribution. Heat accumulation is more diffusely distributed over the last three scanned tracks in bi-directional scanning and altered sequences of bi-directional scanning. The scanning sequence significantly affects melt pool depth. A symmetric depth profiles of the five tracks were formed at altered sequences of uni-directional scanning and altered sequences of bi-directional scanning cases. Conversely, the left-skewed profiles, where melt pool depth gradually increases with each additional track, peaking at the last one, were generated at uni-directional scanning and bi-directional scanning cases. This trend is primarily attributed to heat accumulation from preceding solidified tracks. In addition, both scanning direction and scanning sequence are significantly impact on the surface roughness by changing from uni-directional scanning to bi-directional scanning showed 27.38% of Ra reduction and changing from uni-directional scanning to altered sequences of uni-directional showed 14.29% of Ra reduction.

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Periodical:

Materials Science Forum (Volume 1173)

Pages:

11-18

DOI:

https://doi.org/10.4028/p-zML07q

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Online since:

December 2025

Authors:

Kawintra Khemabulkul, Patiparn Ninpetch*, Piyapat Chuchuay, Pruet Kowitwarangkul

Keywords:

Additive Manufacturing, Numerical Simulation, Scanning Strategy, Selective Laser Melting, Temperature Distribution, Ti-6Al-4V

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© 2025 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] T.D. Ngo, A. Kashani, G. Imbalzano, K.T.Q. Nguyen, D. Hui, Additive manufacturing (3D printing): A review of materials, methods, applications and challenges, Composites Part B: Engineering. 143 (2018) 172–196.

DOI: 10.1016/j.compositesb.2018.02.012

Google Scholar

[2] C.Y. Yap, C.K. Chua, Z. Dong, Z.H. Liu, D.Q. Zhang, L E. Loh, S.L. Sing, Review of selective laser melting: Materials and applications, Applied Physics Reviews. 2 (2015) 041101.

DOI: 10.1063/1.4935926

Google Scholar

[3] S. Cooke, K. Ahmadi, S. Willerth, R. Herring, Metal additive manufacturing: Technology, metallurgy and modelling, Journal of Manufacturing Processes. 57 (2020) 978–1003.

DOI: 10.1016/j.jmapro.2020.07.025

Google Scholar

[4] S. Greco, K. Gutzeit, H. Hotz, B. Kirsch, J.C. Aurich, Selective laser melting (SLM) of AISI 316L–impact of laser power, layer thickness, and hatch spacing on roughness, density, and microhardness at constant input energy density, International Journal of Advanced Manufacturing Technology. 108 (2020) 1551–1562.

DOI: 10.1007/s00170-020-05510-8

Google Scholar

[5] H. Li, M. Ramezani, Z. Chen, S. Singamneni, Effects of process parameters on temperature and stress distributions during selective laser melting of Ti–6Al–4V, Transactions of the Indian Institute of Metals. 72 (2019) 3201–3214.

DOI: 10.1007/s12666-019-01785-y

Google Scholar

[6] B. Zhang, Y. Li, Q. Bai, Defect formation mechanisms in selective laser melting: A review, Chinese Journal of Mechanical Engineering. 30 (2017) 515–527.

DOI: 10.1007/s10033-017-0121-5

Google Scholar

[7] H. Jia, S. Hua, H. Wang, Y. Wu, H. Wang, Scanning strategy in selective laser melting (SLM): A review, International Journal of Advanced Manufacturing Technology. 113 (2021) 1–29.

DOI: 10.1007/s00170-021-06810-3

Google Scholar

[8] K. He, X. Zhao, 3D thermal finite element analysis of the SLM 316L parts with microstructural correlations, Complexity. 2018 (2018) 1–13.

DOI: 10.1155/2018/6910187

Google Scholar

[9] X. Miao, G. Yin, J. Liu, X. Hou, Q. Zhang, J. Li, B. Shi, X. Wang, S. Song, Influence of scanning strategy on the performances of GO-reinforced Ti6Al4V nanocomposites manufactured by SLM, Metals. 10 (2020) 1379.

DOI: 10.3390/met10101379

Google Scholar

[10] S. Zou, Y. He, B. Zhang, F. Zhu, Y. Xu, Z. Yang, S. Shu, H. Kou, Numerical analysis of the effect of the scan strategy on the residual stress in the multi-laser selective laser melting, Results in Physics. 16 (2020) 103005.

DOI: 10.1016/j.rinp.2020.103005

Google Scholar

[11] R. Thongpron, P. Ninpetch, P. Chalermkarnnon, 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

[12] P. Edwards, M. Ramulu, Fatigue performance evaluation of selective laser melted Ti–6Al–4V, Materials Science and Engineering: A. 598 (2014) 327–337.

DOI: 10.1016/j.msea.2014.01.041

Google Scholar

[13] N. Sanaei, A. Fatemi, Analysis of the effect of surface roughness on fatigue performance of powder bed fusion additive manufactured metals, Theoretical and Applied Fracture Mechanics. 108 (2020) 102638.

DOI: 10.1016/j.tafmec.2020.102638

Google Scholar

[14] J.J. Babu, B.E. Carroll, S.G. Clamara, C.H. Wong, D.L. Bourell, C.B. Williams, An experimental study of downfacing surfaces in selective laser melting, Advanced Engineering Materials. 24 (2022) 2101562.

Google Scholar

[15] B.M. Marques, C.M. Andrade, D.M. Neto, M.C. Oliveira, J.L. Alves, L.F. Menezes, Numerical analysis of residual stresses in parts produced by selective laser melting process, Procedia Manufacturing. 47 (2020) 1170–1177.

DOI: 10.1016/j.promfg.2020.04.167

Google Scholar

[16] 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

[17] P. Bian, J. Shi, Y. Liu, Y. Xie, Influence of laser power and scanning strategy on residual stress distribution in additively manufactured 316L steel, Optics & Laser Technology. 132 (2020) 106477.

DOI: 10.1016/j.optlastec.2020.106477

Google Scholar

[18] P. Promoppatum, S.-C. Yao, Influence of scanning length and energy input on residual stress reduction in metal additive manufacturing: Numerical and experimental studies, Journal of Manufacturing Processes. 49 (2020) 247–259.

DOI: 10.1016/j.jmapro.2019.11.020

Google Scholar

[19] X. Zhang, J. Kang, Y.K. Rong, P. Wu, T. Feng, Effect of scanning routes on the stress and deformation of overhang structures fabricated by SLM, Materials. 12 (2018) 37.

DOI: 10.3390/ma12010047

Google Scholar

[20] C. Veiga, J.P. Davim, A. Loureiro, Properties and applications of titanium alloys: A brief review, Reviews on Advanced Materials Science. 32 (2012) 133–148.

Google Scholar

[21] C. García-Hernández, J. Torres-González, P. Bartolo-Páez, L. Pérez-González, J. Ávila, S. Anaya, Effect of processing on microstructure, mechanical properties, corrosion and biocompatibility of additive manufacturing Ti-6Al-4V orthopaedic implants, Scientific Reports. 15 (2025) 14087.

DOI: 10.1038/s41598-025-98349-6

Google Scholar

[22] D.-P. Kouprianoff, M.D. Bal, S. Aminzadeh, G. Kok, M. van den Bosch, A. Simar, 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

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

DOI: 10.1115/1.4028539

Google Scholar

[24] J. Mesicek, Q.-P. Ma, J. Hajnys, J. Zelinka, M. Pagac, J. Petru, O. Mizera, Abrasive surface finishing on SLM 316L parts fabricated with recycled powder, Applied Sciences. 11 (2021) 2869.

DOI: 10.3390/app11062869

Google Scholar

[25] D. Aqilah, M. Sayuti, F. Yusof, Y. Dambatta, N. A. Mohd Amran, W. Izzati, Effects of process parameters on the surface roughness of stainless steel 316L parts produced by selective laser melting, Journal of Testing and Evaluation. 46 (2018) 20170140.

DOI: 10.1520/jte20170140

Google Scholar

[26] M. Król, T. Tomasz, Surface quality research for selective laser melting of Ti-6Al-4V alloy, Archives of Metallurgy and Materials. 61 (2016) 945–950.

DOI: 10.1515/amm-2016-0213

Google Scholar