Analysis of the deep rolling process on turbine blades using the FEM/BEM-coupling

Highly stressed components of aircraft engines, like turbine blades, have to satisfy stringent requirements regarding durability and reliability. The induction of compressive stresses and strain hardening in their surface layer has proven as a promising method to significantly increase their fatigue...

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Published inIOP conference series. Materials Science and Engineering Vol. 10; no. 1; p. 012134
Main Authors Bäcker, V, Klocke, F, Wegner, H, Timmer, A, Grzhibovskis, R, Rjasanow, S
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.06.2010
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Summary:Highly stressed components of aircraft engines, like turbine blades, have to satisfy stringent requirements regarding durability and reliability. The induction of compressive stresses and strain hardening in their surface layer has proven as a promising method to significantly increase their fatigue resistance. The required surface layer properties can be achieved by deep rolling. The determination of optimal process parameters still requires elaborate experimental set-up and subsequent time- and cost-extensive measurements. In previous works the application of the Finite Element Method (FEM) was proposed as an effective and cost reducing alternative to predict the surface layer state for given process parameters. However, FEM requires very fine mesh in the surface layer to resolve the high stress gradients with sufficient accuracy. The hereby caused high time and memory requirements render an efficient simulation of complete turbine components as impossible. In this article a solution is offered by coupling the FEM with the Boundary Elements Method (BEM). It enables the computing of large scale models at low computational cost and high result accuracy. Different approaches of the FEM/BEM-coupling for the simulation of deep rolling are examined with regard to their stability and required computing time.
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ISSN:1757-899X
1757-8981
1757-899X
DOI:10.1088/1757-899X/10/1/012134