Evidence map›Paper›PMID 37049205›Full record

ArticleMaterials (Basel, Switzerland)2023

Effect of Process Parameters on the Microstructure and Properties of Cu-Cr-Nb-Ti Alloy Manufactured by Selective Laser Melting.

Jian Li, Zuming Liu, Huan Zhou, Shupeng Ye, Yazhou Zhang, Tao Liu, Daoyan Jiang, Lei Chen, Runxing Zhou

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Jian LiState Key Laboratory for Powder Metallurgy, Central South University, Changsha 410083, China.
Zuming LiuState Key Laboratory for Powder Metallurgy, Central South University, Changsha 410083, China.
Huan ZhouState Key Laboratory for Powder Metallurgy, Central South University, Changsha 410083, China.
Shupeng YeState Key Laboratory for Powder Metallurgy, Central South University, Changsha 410083, China.
Yazhou ZhangState Key Laboratory for Powder Metallurgy, Central South University, Changsha 410083, China.
Tao LiuState Key Laboratory for Powder Metallurgy, Central South University, Changsha 410083, China.
Daoyan JiangState Key Laboratory for Powder Metallurgy, Central South University, Changsha 410083, China.
Lei ChenState Key Laboratory for Powder Metallurgy, Central South University, Changsha 410083, China.
Runxing ZhouState Key Laboratory for Powder Metallurgy, Central South University, Changsha 410083, China.

Funding

Chinese Academy of Engineering 2019-XZ-11National Joint Engineering Research Center for Abrasion Control and Molding of Metal Materials of China HKDNM201907
6 · The paper itself

Abstract

The fabrication of high-performance copper alloys by selective laser melting (SLM) is challenging, and establishing relationships between the process parameters and microstructures is necessary. In this study, Cu-Cr-Nb-Ti alloy is manufactured by SLM, and the microstructures of the alloy are investigated by X-ray diffraction (XRD), scanning electron microscope (SEM), and electron backscatter diffraction (EBSD). The effects of processing parameters such as laser power and scanning speed on the relative density, defects, microstructures, mechanical properties, and electrical conductivity of the Cu-Cr-Nb-Ti alloy are studied. The optimal processing window for fabricating Cu-Cr-Nb-Ti alloy by SLM is determined. Face-centered cubic (FCC) Cu diffraction peaks shifting to small angles are observed, and there are no diffraction peaks related to the second phase. The grains of XY planes have a bimodal distribution with an average grain size of 24-55 μm. Fine second phases with sizes of less than 50 nm are obtained. The microhardness, tensile strength, and elongation of the Cu-Cr-Nb-Ti alloy manufactured using the optimum processing parameters, laser power of 325 W and scanning speed of 800 mm/s, are 139 HV0.2, 416 MPa, and 27.8%, respectively, and the electrical conductivity is 15.6% IACS (International Annealed Copper Standard). This study provides a feasible scheme for preparing copper alloys with excellent performance and complex geometries.

Indexed as

Cu–Cr–Nb–Ti alloymicrostructureprocess parameterspropertiesselective laser melting

Identifiers

PMID37049205
PMCPMC10095698

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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.