High-Temperature Combined Fatigue Tests on Full-Scale Turbine Blades

IF 1 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Xiaojun Yan, Xiaoyu Qin, Dawei Huang
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引用次数: 1

Abstract

Compared with standard specimens, fatigue tests on full-scale turbine blades can take factors such as geometry and manufacturing process into consideration of life assessment. However, for combined fatigue tests of full-scale turbine blades, there exist two challenges. The first one is that it is difficult to apply combined loads of centrifugal force (low cycle fatigue, LCF) and vibration force (high cycle fatigue, HCF) properly because of the interaction between these loads. The second one is that it is hard to determine the range of HCF load/stress which the blade experiences at service conditions. To address these two challenges, firstly, a set of two-path fixture is designed to apply combined loads on the test blade, which can transfer LCF and HCF load separately by different paths. And secondly, two methods, i.e. the inverse method and the contrast method are proposed to estimate the HCF stress level for turbine blades at service conditions. The inverse method infers the HCF stress level by comparing blade failure data between field (in service) and bench tests conditions, while the contrast method obtains HCF stress level by comparing blade failure data between new and used blades under bench tests conditions. Detailed procedures of high temperature combined fatigue tests on full-scale blade are presented, and experimental life data is also included and analyzed.
全尺寸涡轮叶片的高温组合疲劳试验
与标准试样相比,全尺寸涡轮叶片的疲劳试验可以将几何结构和制造工艺等因素纳入寿命评估的考虑范围。然而,对于全尺寸涡轮叶片的联合疲劳试验,存在两个挑战。第一个问题是,由于离心力(低周疲劳,LCF)和振动力(高周疲劳,HCF)之间的相互作用,很难正确地施加这些载荷。第二个问题是,很难确定叶片在使用条件下所经历的HCF载荷/应力的范围。为了解决这两个挑战,首先,设计了一套双路径夹具,用于在试验叶片上施加组合载荷,该夹具可以通过不同的路径分别传递LCF和HCF载荷。其次,提出了两种方法,即逆方法和对比方法来估计涡轮叶片在使用条件下的HCF应力水平。相反的方法通过比较现场(使用中)和台架试验条件下的叶片失效数据来推断HCF应力水平,而对比方法通过比较台架试验情况下新叶片和旧叶片的叶片故障数据来获得HCF应力水平。介绍了全尺寸叶片高温联合疲劳试验的详细过程,并对试验寿命数据进行了分析。
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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来源期刊
Journal of Multiscale Modelling
Journal of Multiscale Modelling MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.70
自引率
0.00%
发文量
9
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