Improving Surface Roughness and Printability of LPBF Ti6246 Components Without Affecting Their Structure, Mechanical Properties and Building Rate

Laser powder bed fusion (LPBF) is the best suited technology to manufacture temperature-resistant Ti-6Al-2Sn-4Zr-6Mo parts with complex geometrical features for high-end applications. Improving printing accuracy by reducing the layer thickness (t) generally requires repeating a tedious and time-consuming process optimization routine. To simplify this endeavour, the present work proposes three process equivalence criteria allowing to transfer optimized process conditions from one printing parameter set to another. This approach recommends keeping the volumetric laser energy density (VED) and hatching space-to-layer thickness ratio (h/t) constant, while adjusting the scanning speed (v) and hatching space (h) accordingly. To validate this approach, Ti6246 parts were printed with 50 µm and 25 µm layer thicknesses, while keeping VED = 100 J/mm3 and h/t = 3 constant for both cases. The printed samples were analyzed in terms of their density, microstructure and mechanical properties, as well as the geometric compliance of wall-, gap- and channel-containing artefacts. Highly dense samples exhibiting comparable microstructures and mechanical properties were obtained with both parameters sets investigated. However, they induced markedly differing geometric characteristics. Notably, using 25 µm layers allowed printing walls as thin as 0.2 mm as compared to 1.0 mm for 50 µm layers.

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Publication Details

Journal
Metals
Published
2025-12-27
DOI
https://doi.org/10.3390/met16010032
Citations
1
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.71
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article

Improving Surface Roughness and Printability of LPBF Ti6246 Components Without Affecting Their Structure, Mechanical Properties and Building Rate

Vladimir Braïlovski, P. K. Dubois, Thibault Mouret, Aurore Leclercq
1 citations
Metals
Additive Manufacturing Materials and Processes
0.71
article

Improving Surface Roughness and Printability of LPBF Ti6246 Components Without Affecting Their Structure, Mechanical Properties and Building Rate

Vladimir Braïlovski, P. K. Dubois, Thibault Mouret, Aurore Leclercq
article en
1 citations

Abstract

Laser powder bed fusion (LPBF) is the best suited technology to manufacture temperature-resistant Ti-6Al-2Sn-4Zr-6Mo parts with complex geometrical features for high-end applications. Improving printing accuracy by reducing the layer thickness (t) generally requires repeating a tedious and time-consuming process optimization routine. To simplify this endeavour, the present work proposes three process equivalence criteria allowing to transfer optimized process conditions from one printing parameter set to another. This approach recommends keeping the volumetric laser energy density (VED) and hatching space-to-layer thickness ratio (h/t) constant, while adjusting the scanning speed (v) and hatching space (h) accordingly. To validate this approach, Ti6246 parts were printed with 50 µm and 25 µm layer thicknesses, while keeping VED = 100 J/mm3 and h/t = 3 constant for both cases. The printed samples were analyzed in terms of their density, microstructure and mechanical properties, as well as the geometric compliance of wall-, gap- and channel-containing artefacts. Highly dense samples exhibiting comparable microstructures and mechanical properties were obtained with both parameters sets investigated. However, they induced markedly differing geometric characteristics. Notably, using 25 µm layers allowed printing walls as thin as 0.2 mm as compared to 1.0 mm for 50 µm layers.

MetalsVol. 16(1)
Université de Sherbrooke (CA), École de Technologie Supérieure (CA)
Affordable and clean energy
Openalex Percentile: Top 24%
Additive Manufacturing Materials and Processes
0.71
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Improving Surface Roughness and Printability of LPBF Ti6246 Components Without Affecting Their Structure, Mechanical Properties and Building Rate — Vladimir Braïlovski, P. K. Dubois, et al. · Metals (2025) | TGRS Research Map | TGRS