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关于循环极限次数对由VDSiCr类弹簧钢丝制成的压缩弹簧寿命预测的影响

On the Influence of Ultimate Number of Cycles on Lifetime Prediction for Compression Springs Manufactured from VDSiCr Class Spring Wire.

作者信息

Geilen Max Benedikt, Klein Marcus, Oechsner Matthias

机构信息

Centre for Engineering Materials (MPA-IfW), TU Darmstadt, Grafenstrasse 2, 64283 Darmstadt, Hessia, Germany.

出版信息

Materials (Basel). 2020 Jul 20;13(14):3222. doi: 10.3390/ma13143222.

DOI:10.3390/ma13143222
PMID:32698372
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7412470/
Abstract

For the generation of fatigue curves by means of fatigue tests, an ultimate number of cycles must be chosen. This ultimate number of cycles also limits the permissible range of the fatigue curve for the design of components. This introduces extremely high costs for testing components that are to be used in the Very High Cycle Fatigue regime. In this paper, we examine the influence of the ultimate number of cycles of fatigue tests on lifetime prediction for compression springs manufactured from VDSiCr class spring wire. For this purpose, we propose a new kind of experiment, the Artificial Censoring Experiment (ACE). We show that ACEs may be used to permissibly extrapolate the results of fatigue tests on compression springs by ensuring that a batch-specific minimum ultimate number of cycles has been exceeded in testing. If the minimum ultimate number of cycles has not been exceeded, extrapolation is inadmissible. Extrapolated results may be highly non-conservative, especially for models assuming a pronounced fatigue limit.

摘要

为了通过疲劳试验生成疲劳曲线,必须选择一个极限循环次数。这个极限循环次数也限制了用于部件设计的疲劳曲线的允许范围。这给在超高周疲劳状态下使用的部件测试带来了极高的成本。在本文中,我们研究了疲劳试验的极限循环次数对由VDSiCr类弹簧钢丝制成的压缩弹簧寿命预测的影响。为此,我们提出了一种新型实验,即人工删失实验(ACE)。我们表明,通过确保在测试中超过了特定批次的最小极限循环次数,ACE可用于合理外推压缩弹簧疲劳试验的结果。如果未超过最小极限循环次数,则外推是不可接受的。外推结果可能极不保守,特别是对于假设存在明显疲劳极限的模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/2203bc9a18f5/materials-13-03222-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/70c4e010770f/materials-13-03222-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/5bbba9789146/materials-13-03222-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/7ce42e0c252c/materials-13-03222-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/1f5bebbf9816/materials-13-03222-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/63a6b39dbca6/materials-13-03222-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/39f2fdbab900/materials-13-03222-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/d9bc88b726ce/materials-13-03222-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/67da0baa63e3/materials-13-03222-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/b654cb54c585/materials-13-03222-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/2203bc9a18f5/materials-13-03222-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/70c4e010770f/materials-13-03222-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/8557970c0cf0/materials-13-03222-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/8ea40f0f0c33/materials-13-03222-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/5bbba9789146/materials-13-03222-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/7ce42e0c252c/materials-13-03222-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/1f5bebbf9816/materials-13-03222-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/63a6b39dbca6/materials-13-03222-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/39f2fdbab900/materials-13-03222-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/d9bc88b726ce/materials-13-03222-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/67da0baa63e3/materials-13-03222-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/b654cb54c585/materials-13-03222-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e764/7412470/2203bc9a18f5/materials-13-03222-g012.jpg

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