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Importance of Build Design Parameters to the Fatigue Strength of Ti6Al4V in Electron Beam Melting Additive Manufacturing.

作者信息

Ghods Sean, Schur Reid, Montelione Alex, Schleusener Rick, Arola Dwayne D, Ramulu Mamidala

机构信息

Department of Materials Science and Engineering, University of Washington, Seattle, WA 98195, USA.

Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA.

出版信息

Materials (Basel). 2022 Aug 16;15(16):5617. doi: 10.3390/ma15165617.

DOI:10.3390/ma15165617
PMID:36013755
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9412696/
Abstract

The fatigue properties of metals resulting from Powder Bed Fusion (PBF) is critically important for safety-critical applications. Here, the fatigue life of Grade 5 Ti6Al4V from Electron Beam PBF was investigated with respect to several build and component design parameters using a design of experiments (DOE). Part size (i.e., diameter), part proximity, and part location within the build envelope were considered. Overall, metal in the as-built condition (i.e., no post-process machining) exhibited a significantly lower fatigue life than the machined surface condition. In both conditions, the fatigue life decreased significantly with the decreasing part diameter and increasing radial distance; height was not a significant effect in the machined condition. Whereas the surface topography served as the origin of failure for the as-built condition, the internal lack of fusion (LOF) defects, exposed surface LOF defects, and rogue defects served as the origins for the machined condition. Porosity parameters including size, location, and morphology were determined by X-ray micro-computed tomography (XCT) and introduced within regression models for fatigue life prediction. The greatest resistance to fatigue failure is obtained when parts are placed near the center of the build plane to minimize the detrimental porosity. Machining can improve the fatigue life, but only if performed to a depth that minimizes the underlying porosity.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/f74d528bf927/materials-15-05617-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/b55b9e9f56ad/materials-15-05617-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/858436a0f4f2/materials-15-05617-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/fc4177b58bce/materials-15-05617-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/b1689def815c/materials-15-05617-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/b19aff5a71ca/materials-15-05617-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/22ba98d83223/materials-15-05617-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/ecb2d4ae0101/materials-15-05617-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/6b000eda8769/materials-15-05617-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/f2c4d4774308/materials-15-05617-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/d70c73c9e743/materials-15-05617-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/2fa13d530625/materials-15-05617-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/e77165e4e862/materials-15-05617-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/f74d528bf927/materials-15-05617-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/b55b9e9f56ad/materials-15-05617-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/858436a0f4f2/materials-15-05617-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/fc4177b58bce/materials-15-05617-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/b1689def815c/materials-15-05617-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/b19aff5a71ca/materials-15-05617-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/22ba98d83223/materials-15-05617-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/ecb2d4ae0101/materials-15-05617-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/6b000eda8769/materials-15-05617-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/f2c4d4774308/materials-15-05617-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/d70c73c9e743/materials-15-05617-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/2fa13d530625/materials-15-05617-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/e77165e4e862/materials-15-05617-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8088/9412696/f74d528bf927/materials-15-05617-g013.jpg

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本文引用的文献

1
The Influence of Porosity on Fatigue Crack Initiation in Additively Manufactured Titanium Components.多孔性对增材制造钛部件疲劳裂纹萌生的影响。
Sci Rep. 2017 Aug 4;7(1):7308. doi: 10.1038/s41598-017-06504-5.
2
Location, location &size: defects close to surfaces dominate fatigue crack initiation.位置、位置和大小:靠近表面的缺陷主导着疲劳裂纹的萌生。
Sci Rep. 2017 Mar 27;7:45239. doi: 10.1038/srep45239.