Evidence map›Paper›PMID 38911127›Full record

ArticleVirtual and physical prototyping2023

Understanding the influence of alloying elements on the print quality of powder bed fusion-based metal additive manufacturing: Ta and Cu addition to Ti alloy.

Sushant Ciliveri, Amit Bandyopadhyay

Abstract read
In one paragraph

Article in Virtual and physical prototyping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Understanding the Reusability of Ti6Al4V Powder in Laser Powder Bed Fusion.Engineering science in additive manufacturing · 2025
    Article
  4. Article
  5. Additively Manufactured SiOACS applied materials & interfaces · 2024
    Article
  6. Fatigue behavior of additively manufactured Ti3Al2V alloy.Materials science in additive manufacturing · 2023
    Article
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

2 authors.

Sushant CiliveriW. M. Keck Biomedical Materials Research Lab, School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164-2920, USA.
Amit BandyopadhyayW. M. Keck Biomedical Materials Research Lab, School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164-2920, USA.

Funding

Bio-tribo-corrosion resistant 3D Printed Composites for Load-bearing ImplantsR01AR078241 · NIAMS · WASHINGTON STATE UNIVERSITY · PI AMIT BANDYOPADHYAY · 2021 to 2026
$1.8M
3D Printed Surface Modified Porous Metal Coatings for Load-Bearing ImplantsR01AR067306 · NIAMS · WASHINGTON STATE UNIVERSITY · PI BANDYOPADHYAY, AMIT · 2015 to 2019
$1.8M
NIAMS NIH HHS R01 AR067306NIAMS NIH HHS R01 AR078241
6 · The paper itself

Abstract

Alloy design coupled with metal additive manufacturing (AM) opens many opportunities for materials innovation. Investigating the effect of printing parameters for alloy design is essential to achieve good part quality. Among different factors, laser absorptivity, heat diffusivity, and in situ intermetallic phase formations are critical. In this study, the first step employed was a reduction in Al and V contents in Ti6Al4V to design Ti3Al2V alloy, and further 10 wt.% tantalum (Ta) and 3 wt.% copper (Cu) were added to Ti3Al2V. A synergistic effect of Ta and Cu addition in Ti3Al2V negated their effect with higher porosities in Ti3Al2V-Ta-Cu. Ti3Al2V-Ta composition was more sensitive to the laser power, whereas Ti3Al2V-Ta-Cu to the overall energy density. Understanding the effect of energy density on these alloys' microstructural evolution and mechanical properties highlights the need for process-property optimization during alloy design using AM.

Indexed as

3D PrintingAdditive manufacturingAlloy designSelective laser meltingTi6Al4V

Identifiers

PMID38911127
PMCPMC11192459

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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.