基于低成本试验估算钢疲劳强度的相关性的发展

IF 0.5 4区工程技术 Q4 ENERGY & FUELS

Ct&f-Ciencia Tecnologia Y Futuro Pub Date : 2010-07-01 DOI:10.29047/01225383.246

Alexander Martínez, A. Jaimes, A. Serna, Iván Uribe

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引用次数: 5

摘要

金属材料的疲劳开裂主要是由于循环应力的作用及其随时间的变化幅度。基于S-N曲线的疲劳强度评估需要进行多次试验，耗时长，成本高。在本研究中，对高强度钢进行了多次试验，以确定其机械性能、化学成分和疲劳性能。结果表明，(Charpy V缺口)CVN的冲击韧性、合金元素含量和拉伸试验的力学性能与材料的疲劳强度呈正线性关系。最后，发现疲劳试验数据与预测值具有很好的拟合关系。基于Charpy冲击能测试的相关性，与屈服应力、极限应力和材料硬度的关系，使人们能够以低成本预测疲劳抗力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Development of a correlation to estimate the fatigue strength for steels based on low-cost tests

Fatigue cracking in metallic materials occurs mainly due to the effect of cyclic stresses and their variation of magnitude over time. To evaluate the fatigue strength based on S-N curves, many tests are needed, which require a lot of time and incur high costs. For this research, several tests were conducted on examples of high-strength steel to determine their mechanical properties, chemical composition and fatigue. It was found that (Charpy V Notch) CVN impact toughness, the percentage of alloying elements and the mechanical properties of the tension test show a positive lineal effect in relation to the fatigue strength of the materials evaluated. Finally, a correlation was found that showed a very good fit between the experimental fatigue data and the predicted values. The correlation, based on Charpy impact energy tests, the relation to the yield stress, the ultimate stress, and the hardness of the material, allows one to predict resistance to fatigue at a low cost.

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来源期刊

Ct&f-Ciencia Tecnologia Y Futuro Energy-General Energy

CiteScore

1.50

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The objective of CT&F is to publish the achievements of scientific research and technological developments of Ecopetrol S.A. and the research of other institutions in the field of oil, gas and alternative energy sources. CT&F welcomes original, novel and high-impact contributions from all the fields in the oil and gas industry like: Acquisition and Exploration technologies, Basins characterization and modeling, Petroleum geology, Reservoir modeling, Enhanced Oil Recovery Technologies, Unconventional resources, Petroleum refining, Petrochemistry, Upgrading technologies, Technologies for fuels quality, Process modeling, and optimization, Supply chain optimization, Biofuels, Renewable energies.