Evidence map›Paper›PMID 38542595›Full record

ArticleMicromachines2024

Surface Roughness of Interior Fine Flow Channels in Selective Laser Melted Ti-6Al-4V Alloy Components.

Shamoon Al Islam, Liang Hao, Zunaira Javaid, Wei Xiong, Yan Li, Yasir Jamil, Qiaoyu Chen, Guangchao Han

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Shamoon Al IslamGemmological Institute, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0002-1183-0697
Liang HaoGemmological Institute, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0002-6088-1343
Zunaira JavaidGemmological Institute, China University of Geosciences, Wuhan 430074, China.
Wei XiongGemmological Institute, China University of Geosciences, Wuhan 430074, China.
Yan LiGemmological Institute, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0001-8141-9732
Yasir JamilLaser Spectroscopy Laboratory, Department of Physics, University of Agriculture, Faisalabad 38040, Pakistan.ORCID 0000-0001-5903-0835
Qiaoyu ChenGemmological Institute, China University of Geosciences, Wuhan 430074, China.
Guangchao HanGemmological Institute, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0002-8389-9634

Funding

JOINT FUND INNOVATION TEAM PROJECT OF MINISTRY OF EDUCATION FOR EQUIPMENT PRERESEARCH 8091B042207KEY RESEARCH AND DEVELOPMENT PROGRAM FUND OF HUBEI PROVINCE 2022BAA057NATIONAL KEY RESEARCH AND DEVELOPMENT PROGRAM 2022YFB4602502 and 2023YFB4605603SCIENCE AND TECHNOLOGY REVEAL SYSTEM PROJECT OF HUBEI PROVINCE 2021BEC010STATE KEY LABORATORY OF SOLIDIFICATION PROCESSING IN NPU SKLSP202325
6 · The paper itself

Abstract

A challenge remains in achieving adequate surface roughness of SLM fabricated interior channels, which is crucial for fuel delivery in the space industry. This study investigated the surface roughness of interior fine flow channels (1 mm diameter) embedded in SLM fabricated TC4 alloy space components. A machine learning approach identified layer thickness as a significant factor affecting interior channel surface roughness, with an importance score of 1.184, followed by scan speed and laser power with scores of 0.758 and 0.512, respectively. The roughness resulted from thin layer thickness of 20 µm, predominantly formed through powder adherence, while from thicker layer of 50 µm, the roughness was mainly due to the stair step effect. Slow scan speeds increased melt pools solidification time at roof overhangs, causing molten metal to sag under gravity. Higher laser power increased melt pools temperature and led to dross formation at roof overhangs. Smaller hatch spaces increased roughness due to overlapping of melt tracks, while larger hatch spaces reduced surface roughness but led to decreased part density. The surface roughness was recorded at 34 µm for roof areas and 26.15 µm for floor areas. These findings contribute to potential adoption of TC4 alloy components in the space industry.

Indexed as

additive manufacturingbuild orientationconfined geometryheat penetrationinterior channellaser powder bed fusionoverhangprocess parameters optimizationspace industrytrapped powder

Identifiers

PMID38542595
PMCPMC10972332

What OpenQuestion holds

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Registered trials

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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.