Fatigue integrity assessment

Duggan, T.V.

doi:10.1016/0142-1123(81)90003-7

Cited by 7 publications

(1 citation statement)

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“…This was done in order to establish accurate crack growth rates, since short fatigue cracks in metals grow at faster rates and lower nominal ÄK values than longer ones [5] (with the exception of cracks in some large grain engine materials like IMI 685 [6]). The behaviour of such short cracks is greatly influenced by a number of factors, including crack size, shape and location, local stress±strain fields at notches [7], fretting, load history, hole preparation and material microstructure [8]. As mentioned earlier, care has been taken in the design and loading conditions of LCF testpieces to replicate the stresses and strains measured in the CCOC rear flange.…”

Section: Resultsmentioning

confidence: 99%

Life assessment of a critical aeroengine part using finite element crack modelling

Karnezis

Jesson

1999

Proceedings of the Institution of Mechanical Engineers, Part G:

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During the design of a Rolls-Royce military gas turbine aeroengine several years ago, the rear flange was identified as the life-limiting part of the outer casing of the combustion chamber (CCOC). An early finite element (FE) analysis identified the dowel pin hole in the flange as a potentially critical area and predicted a low cycle fatigue (LCF) safe life much lower than the design target. However, whole engine testing since then has proved those predictions to be too pessimistic, but LCF testpieces failed to deliver a better life estimate, possibly because of the difficulty of achieving representative testing conditions. In order to predict a more accurate life for the component, an alternative procedure incorporating FE static crack analysis, LCF testing, crack propagation tests and analytical calculations was used to life the component. FE submodelling techniques were applied to study the behaviour of a growing crack, with boundary conditions taken from FE global models of the component and the LCF testpiece. The FE analysis explained the discrepancies between earlier modelling attempts and experimental results, and provided the necessary information to declare an increased component life.

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Section: Resultsmentioning

confidence: 99%