Evidence map›Paper›PMID 42513785›Full record

ArticleMaterials (Basel, Switzerland)2026

Laser Powder Bed Fusion Processing of Ti-6Al-4V Powders with Offsize and Wide Particle Size Distributions-Process Optimization.

Farzad Liravi, Mahyar Hasanabadi, Tatevik Minasyan, Pablo D Enrique, Sebastian Soo, Farima Liravi, Mahdi Habibnejad-Korayem, Ehsan Toyserkani

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Farzad LiraviMulti-Scale Additive Manufacturing Laboratory, Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. W., Waterloo, ON N2L 3G1, Canada.
Mahyar HasanabadiMulti-Scale Additive Manufacturing Laboratory, Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. W., Waterloo, ON N2L 3G1, Canada.
Tatevik MinasyanMulti-Scale Additive Manufacturing Laboratory, Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. W., Waterloo, ON N2L 3G1, Canada.ORCID 0000-0003-2576-7040
Pablo D EnriqueMulti-Scale Additive Manufacturing Laboratory, Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. W., Waterloo, ON N2L 3G1, Canada.ORCID 0000-0001-6796-4830
Sebastian SooMulti-Scale Additive Manufacturing Laboratory, Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. W., Waterloo, ON N2L 3G1, Canada.ORCID 0000-0001-7151-9422
Farima LiraviMulti-Scale Additive Manufacturing Laboratory, Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. W., Waterloo, ON N2L 3G1, Canada.
Mahdi Habibnejad-KorayemAP&C, A Colibrium Additive Company, St-Eustache, QC J7R 0L5, Canada.
Ehsan ToyserkaniMulti-Scale Additive Manufacturing Laboratory, Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. W., Waterloo, ON N2L 3G1, Canada.ORCID 0000-0002-6716-9500

Funding

AP&C, a GE Colibrium company N/AEstonian Research Council PSG1054 (T. Minasyan)Federal Economic Development Agency for Southern Ontario (FedDev Ontario) 1016969
6 · The paper itself

Abstract

The considerable expense associated with metal additive manufacturing (AM), partly attributed to the high costs of raw materials, forms a significant obstacle hindering the widespread adoption and scaling of this technology. In response to this challenge, this study endeavors to explore and optimize the laser powder bed fusion (LPBF) process parameters for Ti-6Al-4V powders with offsize (45-106 µm) and wide (15-106 µm) particle size distribution (PSD) which are more cost-effective. The outcomes will be compared to those of the same alloy with a standard 15-53 µm PSD. The primary focus of this investigation revolves around two key objectives: firstly, establishing correlations between the laser powder bed fusion process parameters and the resulting density, hardness, and roughness. This objective is achieved by investigating the impact of process parameters within the context of the contour-skin-core method. Secondly, the porosity, microstructure, elemental composition, and dimensional fidelity of several components made from the offsize and wide powders were investigated, utilizing the optimized process parameters for density. To this end, an efficient multi-step experimental design and optimization process was adopted. The findings resulted in the identification of correlations between the significant process parameters and the studied responses, enabling the achievement of 98.7% density and 40.6 HRC hardness for offsize powder and 98.7% density and 40 HRC hardness for wide powder. A separate set of optimized process parameters for larger geometries produced densities exceeding 99.9% in both as-built and HIP conditions across all three powders. Additionally, the results confirmed the higher sensitivity of the roughness to powder size, with the optimized values fluctuating between 9.5 µm and 15.7 µm. Comprehensive microstructural investigation reveals no significant differences in phase evolution or grain structure resulting from the use of offsize or wide powders. This study confirms the viability of utilizing powders containing a higher portion of large particles to mitigate the costs associated with LPBF processes.

Indexed as

3D printingadditive manufacturingdesign of experimentslaser powder bed fusionoffsize particle size distribution

Identifiers

PMID42513785
PMCPMC13413037

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.