Abstract
In additive manufacturing, the variation of the fabrication process parameters influences the mechanical properties of a material such as tensile strength, impact toughness, hardness, fatigue strength, and so forth, but fatigue testing of metals fabricated with all different sets of process parameters is a very expensive and time-consuming process. Therefore, the nominal process parameters by means of minimum energy input were first identified for a dense part and then the optimized process parameters were determined based on the tensile and impact toughness test results obtained for 304L stainless steel deposited in laser powder bed fusion (LPBF) process. Later, the high cycle fatigue performance was investigated for the material built with these two sets of parameters at horizontal, vertical, and inclined orientation. In this paper, displacement controlled fully reversed (R = 1) bending type fatigue tests at different levels of displacement amplitude were performed on Krouse type miniature specimens. The test results were compared and analyzed by applying the control signal monitoring (CSM) method. The analysis shows that specimen built-in horizontal direction for optimized parameters demonstrates the highest fatigue strength while the vertical specimen built with nominal parameters exhibits the lowest strength.
Recommended Citation
M. M. Parvez et al., "High Cycle Fatigue Performance of LPBF 304L Stainless Steel at Nominal and Optimized Parameters," Materials, vol. 13, no. 7, MDPI AG, Apr 2020.
The definitive version is available at https://doi.org/10.3390/ma13071591
Department(s)
Materials Science and Engineering
Second Department
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Intelligent Systems Center
Second Research Center/Lab
Center for Research in Energy and Environment (CREE)
Keywords and Phrases
304L Stainless Steel; Additive Manufacturing; Fatigue Test; Impact Toughness Test; Miniature Specimen; Nucleation and Propagation; Simply Supported Bending; Tensile Test
International Standard Serial Number (ISSN)
1996-1944; 1996-1944
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2020 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Apr 2020
Comments
This research was supported by National Science Foundation Grant CMMI-1625736. Part of the work was also funded by the Department of Energy's Kansas City National Security Campus which is operated and managed by Honeywell Federal Manufacturing Technologies, LLC under contract number DE-NA0002839, Intelligent Systems Center, and Material Research Center at Missouri University of Science and Technology.