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一种用于涡轮叶片寿命预测的高低周复合疲劳模型。

A Combined High and Low Cycle Fatigue Model for Life Prediction of Turbine Blades.

作者信息

Zhu Shun-Peng, Yue Peng, Yu Zheng-Yong, Wang Qingyuan

机构信息

Center for System Reliability & Safety, University of Electronic Science and Technology of China, Chengdu 611731, China.

Key Laboratory of Deep Earth Science and Engineering, Ministry of Education, Sichuan University, Chengdu 610065, China.

出版信息

Materials (Basel). 2017 Jun 26;10(7):698. doi: 10.3390/ma10070698.

Abstract

Combined high and low cycle fatigue (CCF) generally induces the failure of aircraft gas turbine attachments. Based on the aero-engine load spectrum, accurate assessment of fatigue damage due to the interaction of high cycle fatigue (HCF) resulting from high frequency vibrations and low cycle fatigue (LCF) from ground-air-ground engine cycles is of critical importance for ensuring structural integrity of engine components, like turbine blades. In this paper, the influence of combined damage accumulation on the expected CCF life are investigated for turbine blades. The CCF behavior of a turbine blade is usually studied by testing with four load-controlled parameters, including high cycle stress amplitude and frequency, and low cycle stress amplitude and frequency. According to this, a new damage accumulation model is proposed based on Miner's rule to consider the coupled damage due to HCF-LCF interaction by introducing the four load parameters. Five experimental datasets of turbine blade alloys and turbine blades were introduced for model validation and comparison between the proposed Miner, Manson-Halford, and Trufyakov-Kovalchuk models. Results show that the proposed model provides more accurate predictions than others with lower mean and standard deviation values of model prediction errors.

摘要

高低周复合疲劳(CCF)通常会导致航空燃气轮机附件失效。基于航空发动机载荷谱,准确评估高频振动引起的高周疲劳(HCF)与发动机地面-空中-地面循环产生的低周疲劳(LCF)相互作用所导致的疲劳损伤,对于确保发动机部件(如涡轮叶片)的结构完整性至关重要。本文针对涡轮叶片,研究了复合损伤累积对预期CCF寿命的影响。涡轮叶片的CCF行为通常通过四个载荷控制参数进行测试研究,包括高周应力幅值和频率,以及低周应力幅值和频率。据此,基于Miner法则提出了一种新的损伤累积模型,通过引入这四个载荷参数来考虑HCF-LCF相互作用引起的耦合损伤。引入了五个涡轮叶片合金和涡轮叶片的实验数据集,用于模型验证以及所提出的Miner模型、Manson-Halford模型和Trufyakov-Kovalchuk模型之间的比较。结果表明,所提出的模型比其他模型提供了更准确的预测,模型预测误差的均值和标准差更低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e049/5551741/ec62e2c9a6c9/materials-10-00698-g001.jpg

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