Highly stressed components of modern aircraft engines, like turbine and compressor blades, have to satisfy stringent requirements regarding durability and reliability. The induction of compressive residual stresses and strain hardening in the surface layer of these components have been proved to be a very promising method to increase their fatigue resistance significantly. Previous research has shown that an improvement of these characteristics can lead to a slow-down of crack propagation or even complete crack closure due to shakedown effects. The required surface layer properties can be achieved by a number of different manufacturing processes, among which roller burnishing is distinguished by the following substantial advantages: high and deep-reaching compressive residual stresses, high strain hardening, and excellent surface quality. The determination of optimal process parameters in order to achieve a defined state of the surface layer still requires an elaborate experimental set-up and subsequent time-consuming and cost-extensive measurements. Therefore, in this article a novel approach for the quantitative prediction of the induced residual stresses by the roller burnishing process is proposed using finite element analysis (FEA). The developed FE models were verified by comparison of the calculated residual stress state with experimental results of roller burnishing tests for different process parameters and materials. The influence of the induced compressive residual stresses and strain hardening on the materials’ fatigue behaviour was examined subsequently using low cycle fatigue (LCF) tests.
Highly stressed components of modern aircraft engines, like fan and compressor blades, have to satisfy stringent requirements regarding durability and reliability. The induction of compressive residual stresses and strain hardening in the surface layer of these components has proven as a very promising method to significantly increase their fatigue resistance. The required surface layer properties can be achieved by the roller burnishing process, which is characterised by high and deeply reaching compressive residual stresses, high strain hardening and excellent surface quality. In order to achieve a defined state of the surface layer, the determination of optimal process parameters for a given task still requires an elaborate experimental set-up and subsequent time-consuming and cost-extensive measurements. The development of well funded process knowledge about the correlation of the process parameters, the processed geometry and the surface layer state is the subject of this article.
It is believed that for complex workpieces and small lot sizes complete machining with multi-technology platforms reduces cycle times compared to multiple standalone machines and is economically more efficient. However, so far in literature no mathematical model has been applied to compare these alternatives with respect to cost and productivity. This paper introduces a mathematical model for part costs and productivity and examines conditions under which multi-technology platforms are economically efficient. It is concluded that depending on the reduction of reconfiguration and processing times efficient production with multi-technology platforms is not solely limited to small lot sizes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.