Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Effect of homogenization on precipitation behavior and strengthening of 17-4PH stainless steel fabricated using laser powder bed fusion

Li, Kun and Sridar, Soumya and Tan, Susheng and Xiong, Wei Effect of homogenization on precipitation behavior and strengthening of 17-4PH stainless steel fabricated using laser powder bed fusion.

[img]
Preview
PDF
Available under License : See the attached license file.

Download (1MB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Effective post-heat treatment is critical to achieve desired microstructure for high-performance in additively manufactured (AM) components. In this work, the influence of homogenization on microstructure-property relationship in 17-4PH steels has been investigated. Precipitation of NbC, oxides, and {\epsilon}-Cu were observed in the as-built 17-4PH steels. To design an optimum post-heat treatment, homogenization was performed at 1050oC for different times followed by aging at 482oC for 1 hour. It was identified that homogenization for 1 hour followed by aging leads to the best combination of strength and ductility due to the refinement of martensite and prior austenite grains. Improved tensile properties were achieved for the post-heat-treated alloys that exceeded the traditionally fabricated 17-4PH steels. Through comprehensive microstructure characterization, it was deduced that the incoherent {\epsilon}-Cu precipitates in the as-built alloy were dissolved through homogenization, and subsequently, re-precipitated as coherent Cu-rich clusters during aging. This study demonstrates that altering the precipitation behavior using post-heat treatment is an effective pathway to significantly improve the mechanical properties of AM alloys.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Li, Kun
Sridar, Soumya
Tan, Sushengsut6@pitt.eduSUT60000-0002-6162-7443
Xiong, Weiweixiong@pitt.eduWEIXIONG0000-0002-3825-1679
Schools and Programs: Swanson School of Engineering > Electrical and Computer Engineering
Swanson School of Engineering > Mechanical Engineering and Materials Science
Refereed: No
Uncontrolled Keywords: cond-mat.mtrl-sci, cond-mat.mtrl-sci, physics.app-ph
Additional Information: 26 pages, 12 figures, 2 tables
Date Deposited: 19 Jan 2022 16:59
Last Modified: 21 Jan 2022 05:55
URI: http://d-scholarship.pitt.edu/id/eprint/42193

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item