Combined cycle fatigue of 7075 aluminum alloy – Fracture surface characterization and short crack propagation

Stanzl-Tschegg, Stefanie E.; Meischel, Martin; Arcari, Attilio; Iyyer, Nagaraja; Apetre, Nicole; Phan, Nam

doi:10.1016/j.ijfatigue.2015.10.022

Cited by 36 publications

(16 citation statements)

References 13 publications

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“…Note from [ 29 , 30 , 36 ] that coupled damage due to the HCF-LCF interaction exists under CCF conditions in addition to pure HCF and LCF damages. Moreover, HCF and LCF interaction has shown great influences on CCF life and even accelerates crack growth process of materials.…”

Section: Hcf-lcf Interactionmentioning

confidence: 99%

“…Schweizer et al [ 29 ] put forward a mechanism-based model to describe the micro-cracks evolution behavior under CCF loadings, and pointed out that crack growth rates were accelerated under HCF-LCF interaction. Stanzl-Tschegg et al [ 30 ] conducted variable amplitude fatigue tests using high-frequency cycles superimposed on low-frequency loads. The experimental result indicated that fatigue lives under combined variable amplitude loading were much shorter than those under constant amplitude loading.…”

Section: Introductionmentioning

confidence: 99%

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

Zhu

Yue

et al. 2017

Materials

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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.

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Section: Hcf-lcf Interactionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Zhu

Yue

et al. 2017

Materials

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“…Another important issue related to the specific applications of 7XXX series alloys is the fatigue behavior, and a lot of work has been devoted to the matter, taking into consideration different parameters [8][9][10][11][12][13].…”

Section: XXX Series-(al-zn)mentioning

confidence: 99%

Alloys for Aeronautic Applications: State of the Art and Perspectives

Gloria

Montanari

Richetta

et al. 2019

Metals

149

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In recent years, a great effort has been devoted to developing a new generation of materials for aeronautic applications. The driving force behind this effort is the reduction of costs, by extending the service life of aircraft parts (structural and engine components) and increasing fuel efficiency, load capacity and flight range. The present paper examines the most important classes of metallic materials including Al alloys, Ti alloys, Mg alloys, steels, Ni superalloys and metal matrix composites (MMC), with the scope to provide an overview of recent advancements and to highlight current problems and perspectives related to metals for aeronautics. Horizontal stabilizersLower Compression CYS, E, DT Upper Tension DT, YS As shown in Figure 2, engines consist of cold (fan, compressor and casing) and hot (combustion chamber and turbine) sections. The material choice depends on the working temperature. The components of cold sections require materials with high specific strength and corrosion resistance. Ti and Al alloys are very good for these applications. For instance, the working temperature of the compressor is in the range of 500-600 °C, and the Ti-6Al-2Sn-4Zr-6Mo alloy (YS = 640 MPa at 450 °C; excellent corrosion resistance) is the most commonly used material.For the hot sections, materials with good creep resistance, mechanical properties at high temperature and high-temperature corrosion resistance are required, and Ni-base superalloys are the optimal choice.

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“…Although this paper is focussed on cases in which the fracture mechanisms for HCF and VHCF could be clearly dissociated, as typically related to surface and internal defects, it should be noted that the fatigue behaviour in VHCF is not always the same. Different materials and treatment conditions (heat treatment, temper, etc) can lead to a variety of distinct failure mechanisms and differentiated or similar single S‐N fields, but the methodology proposed is of general application if consistently handled. In fact, a multiplicity of failure mechanisms, as would be those originated by different type of subsurface failures, are also possible especially in the VHCF region .…”

Section: Introductionmentioning

confidence: 99%

Probabilistic assessment of VHCF data as pertaining to concurrent populations using a Weibull regression model

Muñiz‐Calvente

Fernández‐Canteli

Pyttel

et al. 2017

Fatigue Fract Eng Mat Struct

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The Weibull regression model proposed by Castillo and Canteli to evaluate fatigue results represents a possible and adequate option to be used for the assessment and prediction of very high cycle fatigue (VHCF) lifetimes. Among others, this model provides a probabilistic definition of the S‐N field for determining failure mechanisms, ie, internal and surface ones, based on extreme value distributions of the Weibull family for minima, as well as the existence of an asymptotic fatigue limit and the capability to reduce the S‐N field to a single cumulative distribution function by considering the normalized variable V = (log N‐B) (log Δσ). In this way, both dual fracture mechanisms characterizing the VHCF data can be adequately interpreted and handled as independent distributions in such a particular and complex case of concurrent populations, known statistically as a confounded data problem. Once the model parameters of both normalized cumulative distribution functions are estimated, the probability of failure for any of both failure mechanisms at whatever stress range can be determined by applying a back normalization to the original Wöhler field. Two examples of application are presented, the first one to introduce the proposed methodology by means of an example with simulated data to show the reliability of the proposed approach to fit correctly the model parameters assumed for the simulation, and the second one, using real results from a former external experimental VHCF program. Finally, a test strategy, which optimizes the planning of the fatigue program, is suggested.

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Combined cycle fatigue of 7075 aluminum alloy – Fracture surface characterization and short crack propagation

Cited by 36 publications

References 13 publications

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

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

Alloys for Aeronautic Applications: State of the Art and Perspectives

Probabilistic assessment of VHCF data as pertaining to concurrent populations using a Weibull regression model

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