Evidence map›Paper›PMID 35683061›Full record

ArticleMaterials (Basel, Switzerland)2022

Optimization of Heat Treatment for 38Si7 Spring Steel with Excellent Mechanical Properties and Controlled Decarburization.

Xian-Wen Wang, Qing-Feng Hu, Chao-Lei Zhang, Lie Chen, Chang-Yong Zhu, Bo Tao, Bo Jiang, Ya-Zheng Liu

Abstract read
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Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xian-Wen WangSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Qing-Feng HuSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Chao-Lei ZhangSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0002-5252-5680
Lie ChenJianlong Beiman Special Steel Co., Ltd., Qiqihar 161041, China.
Chang-Yong ZhuChina Railway Longchang Equipment Co., Ltd., Neijiang 642150, China.
Bo TaoChina Railway Longchang Equipment Co., Ltd., Neijiang 642150, China.
Bo JiangSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Ya-Zheng LiuSchool of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimizing the heat treatment procedure with 13 mm diameter 38Si7 spring steel is critical for developing high-performance, low-cost, large spring steel for railway clips. The effects of quenching temperature, holding time, tempering temperature, and tempering time on the microstructure and mechanical properties were investigated using an orthogonal experiment, designed with four factors and three levels. The best heat treatment settings were explored, as well as the variation laws of mechanical properties, decarburization behavior, and fracture morphology. The results demonstrated that quenching temperature and tempering temperature had the most impact on plasticity and tempering temperature, while time had the most effect on strength. The optimized heat treatment schemes made the elongation increase by up to 106% and the reduction in area increase by up to 67%, compared with the standard BS EN 10089-2002, and there were mixed fractures caused by ductility and brittleness. The fracture tests showed a good performance of 20.2 GPa·%, and the heat treatment processes' minimum decarburization depth of 93.4 μm was determined. The optimized process would obtain stronger plastic deposition and better decarburization performance. The microstructure was simply lightly tempered martensite, and the matrix still retained the acicular martensite. The optimal heat treatment process is quenching at 900 °C for 30 min (water cooling), followed by tempering at 430 °C for 60 min (air cooling). The research led to a solution for increasing the overall mechanical characteristics and decreasing the surface decarburization of 38Si7 spring steel with a diameter of 13 mm, and it set the foundation for increasing the mass production of railway clips of this size.

Indexed as

fractographyheat treatmentmechanical propertiesmicrostructureorthogonal experimentsurface decarburization

Identifiers

PMID35683061
PMCPMC9181660

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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.