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关于加载和打印参数对激光粉末床熔融增材制造钢疲劳行为的影响

On the effect of loading and printing parameters that influence the fatigue behavior of laser powder-bed fusion additively manufactured steels.

作者信息

Alhajeri Ali, Aremu Oluwatobi, Almutahhar Mosa, Yousif Mohammed, Albinmousa Jafar, Ali Usman

机构信息

Department of Mechanical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia.

Interdisciplinary Research Center on Advanced Materials, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia.

出版信息

Heliyon. 2024 Apr 4;10(9):e29229. doi: 10.1016/j.heliyon.2024.e29229. eCollection 2024 May 15.

DOI:10.1016/j.heliyon.2024.e29229
PMID:38707403
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11066603/
Abstract

The aim of this paper is to investigate the factors (build orientation, sample conditions, and R-ratio) that affect the cyclic response of laser powder-bed fusion stainless steel 316L and 17-4 PH parts. Initially, the data set was analyzed to confirm the normality assumption. The significant and insignificant factors that affect the fatigue life were identified using analysis of variance (ANOVA). Main effects for different sample conditions were also analyzed. Process and reproducibility assessment were performed to study the effect of process factors. Combining fatigue data sets was recommended as the best approach to accurately predict the fatigue behavior of LPBF 316L and 17-4 PH parts. Finally, the effect of sample conditions on fatigue life was quantified. The highest fatigue life was achieved with Machined-Polished surfaces.

摘要

本文旨在研究影响激光粉末床熔融316L不锈钢和17-4PH零件循环响应的因素（构件取向、试样条件和R比）。首先，对数据集进行分析以确认正态性假设。使用方差分析（ANOVA）确定影响疲劳寿命的显著和非显著因素。还分析了不同试样条件的主效应。进行了工艺和再现性评估以研究工艺因素的影响。建议合并疲劳数据集作为准确预测LPBF 316L和17-4PH零件疲劳行为的最佳方法。最后，量化了试样条件对疲劳寿命的影响。经加工抛光的表面实现了最高的疲劳寿命。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/0959fb2af1be/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/829595dde44b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/9dc51de0a21e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/a3b2331c87e2/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/323edd2d1e6c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/28248692f53d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/7f0034b3e538/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/c0b2fd90601b/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/41656c8b55e7/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/0959fb2af1be/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/829595dde44b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/9dc51de0a21e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/a3b2331c87e2/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/323edd2d1e6c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/28248692f53d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/7f0034b3e538/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/c0b2fd90601b/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/41656c8b55e7/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef7/11066603/0959fb2af1be/gr9.jpg

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