Evidence map›Paper›PMID 35224356›Full record

ArticleACS omega2022

Effects of Process Parameters on the Corrosion Resistance and Biocompatibility of Ti6Al4V Parts Fabricated by Selective Laser Melting.

Shibo Xiang, Yanping Yuan, Chengyu Zhang, Jimin Chen

Abstract read
In one paragraph

Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Effect of Functional Nanoporous TiOInternational journal of molecular sciences · 2023
    Article
  3. 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

4 authors.

Shibo XiangInstitute of Laser Engineering, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China.ORCID https://orcid.org/0000-0002-8032-0770
Yanping YuanInstitute of Laser Engineering, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China.
Chengyu ZhangInstitute of Laser Engineering, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China.ORCID https://orcid.org/0000-0002-2735-3805
Jimin ChenInstitute of Laser Engineering, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excellent biocompatibility and corrosion resistance of implants are essential for Ti6Al4V parts fabricated by selective laser melting (SLM) for biomedical applications. To achieve better corrosion resistance and biocompatibility of Ti6Al4V parts, the effects of SLM processing parameters on the corrosion resistance and the biocompatibility of Ti6Al4V parts are investigated by changing the scanning speeds and laser powers. The detailed influence mechanism of processing parameters on the properties of Ti6Al4V parts is studied from two aspects, including microstructure and defects. It is found that the corrosion resistance and biocompatibility of Ti6Al4V parts can be adjusted by changing the scanning speed and the laser power due to the constituent phase and the number and size of defect holes of Ti6Al4V parts. Compared with the laser power, the scanning speed has a stronger influence on the performance of the part, which can be used as "coarse tuning" based on the performance requirements. At the scanning speed of 1100 mm/s and the laser power of 280 W, Ti6Al4V parts with better corrosion resistance can be obtained. Ti6Al4V parts with better biocompatibility are fabricated at the scanning speed of 1200 mm/s and the laser power of 200 W.

Identifiers

PMID35224356
PMCPMC8867574

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.