Evidence map›Paper›PMID 37959573›Full record

ArticleMaterials (Basel, Switzerland)2023

Frictional Wear and Thermal Fatigue Properties of Die Steel after Ultrasound-Assisted Alloying.

Chunhua Hu, Yihao Wei, Xinghao Ji, Yu Liu

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. 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.

Chunhua HuKey Laboratory of Automobile Materials, School of Materials Science and Engineering, Jilin University, Changchun 130025, China.
Yihao WeiKey Laboratory of Automobile Materials, School of Materials Science and Engineering, Jilin University, Changchun 130025, China.
Xinghao JiKey Laboratory of Automobile Materials, School of Materials Science and Engineering, Jilin University, Changchun 130025, China.
Yu LiuSchool of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, China.

Funding

Jilin Province Science and Technology Department innovation platform and talent special project 20230508039RCKey Scientific and Technological Research and Development Projects of Jilin Provincial Science and Technology Department 20230201108GX
6 · The paper itself

Abstract

The surface layer of 8407 die steel was strengthened using the combination of ultrasonic surface rolling and high-energy ion implanting in the present work. The strengthened layer was then characterized via microstructure observation, composition analysis, and hardness test. After that, the frictional wear and thermal fatigue properties of high-energy ion implanting specimens and composite-reinforced specimens were compared. Results show that the pretreatment of specimens with ultrasonic surface rolling causes grain refinement in the material surface, which promotes the strengthening effect of high-energy ion implanting. The wear volume of composite-reinforced specimens at medium and high frequencies is reduced by about 20%, and the wear resistance of these specimens is significantly improved with a lower friction coefficient and wear volume at moderate and high frequencies in alternating load friction experiments. Meanwhile, the thermal fatigue crack depth of composite-reinforced specimens is reduced by about 47.5%, which effectively prevents the growth of thermal cracks in the surface, thus improving the curing ability of the implanted elements. Therefore, composite strengthening of the mold steel surface is conducive to improving the cycle life, ensuring accuracy, effectively hindering the expansion of thermal cracks, and saving the cost of production.

Indexed as

frictional wearhigh-energy ion implantingthermal fatigueultrasonic surface rolling

Identifiers

PMID37959573
PMCPMC10648984

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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.