Evidence map›Paper›PMID 39063723›Full record

ArticleMaterials (Basel, Switzerland)2024

Effect of Energy Density on the Mechanical Properties of 1.2709 Maraging Steel Produced by Laser Powder Bed Fusion.

István Hatos, Hajnalka Hargitai, Gusztáv Fekete, Imre Fekete

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

4 authors.

István HatosDepartment of Material Science and Technology, Audi Hungária Faculty of Vehicle Engineering, Széchenyi István University, H-9026 Győr, Hungary.ORCID 0000-0001-7553-6895
Hajnalka HargitaiDepartment of Material Science and Technology, Audi Hungária Faculty of Vehicle Engineering, Széchenyi István University, H-9026 Győr, Hungary.ORCID 0000-0001-9932-9196
Gusztáv FeketeDepartment of Material Science and Technology, Audi Hungária Faculty of Vehicle Engineering, Széchenyi István University, H-9026 Győr, Hungary.ORCID 0000-0002-6138-8382
Imre FeketeDepartment of Material Science and Technology, Audi Hungária Faculty of Vehicle Engineering, Széchenyi István University, H-9026 Győr, Hungary.

Funding

National Research, Development and Innovation Fund, Ministry of Innovation and Technology of Hungary TKP2021-NVA-23
6 · The paper itself

Abstract

The unusual combination of the fundamentally contradictory properties of high tensile strength and high fracture toughness found in maraging steel makes it well suited for safety-critical applications that require high strength-to-weight materials. In certain instances, additive manufacturing (AM) has produced materials that may be desirable for safety-critical applications where impact toughness is a key property, such as structural parts for the aerospace industry or armor plates for military applications. Understanding the influence of process parameters and defect structure on the properties of maraging steel parts produced via laser powder bed fusion (LPBF) is a fundamental step towards the broader use of AM technologies for more demanding applications. In this research, the impact energy of V-notched specimens made of 1.2709 maraging steel produced by LPBF was determined via Charpy impact testing. Specimens were produced using different processing parameter sets. By combining the process parameters with the porosity values of the parts, we demonstrate that an almost full prediction of the impact properties can be achieved, paving the way for significantly reducing the expenses of destructive testing.

Indexed as

1.2709 steeladditive manufacturingenergy densityimpact energyporosity

Identifiers

PMID39063723
PMCPMC11277926

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.