Evidence map›Paper›PMID 39687009›Full record

ArticleiScience2024

Effect of heat treatment on tribological behavior of direct metal laser sintered alloy 718.

S M Muthu, Dhinakaran Veeman, Vijayakumar Asokan, M Sathishkumar, L Vadivel Kannan, M Vignesh, L Rajeshkumar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2024. 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

7 authors.

S M MuthuCentre for Additive Manufacturing, Chennai Institute of Technology, Chennai 600069, India.
Dhinakaran VeemanCentre for Additive Manufacturing, Chennai Institute of Technology, Chennai 600069, India.
Vijayakumar AsokanCentre for Additive Manufacturing, Chennai Institute of Technology, Chennai 600069, India.
M SathishkumarDepartment of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai, India.
L Vadivel KannanDepartment of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul 624622, India.
M VigneshDepartment of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai, India.
L RajeshkumarAU-Sophisticated Testing and Instrumentation Centre (STIC) and Department of Mechanical Engineering, Alliance School of Applied Engineering, Alliance University, Bengaluru 562106, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main aim of this work is to enhance the wear performance of the direct metal laser sintered (DMLS) alloy 718 by solution treatment aging (STA) method at room temperature (RT) (28°C) and 400°C in dry sliding conditions. The effect of microstructure, phase analysis, and microhardness on the wear behavior and the influence of STA on the specimen at elevated temperatures were studied. The microstructure revealed the presence of melt pool boundary (MPB) in untreated DMLS alloy while recrystallized grains were observed in the STA-treated alloy. The wear results elucidated that STA-treated alloy exhibited better wear resistance than as-built alloy due to high hardness at both conditions. Severe wear loss occurred at high temperatures caused by the delamination of the brittle oxide glazing layer, while oxidation and adhesive wear were the predominant wear mechanisms. Results also portrayed that the test temperature and STA treatment equally influenced the wear behavior of alloy 718.

Indexed as

Heat treatmentMaterials processingMaterials science

Identifiers

PMID39687009
PMCPMC11647136

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.