English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Establishing a fatigue life prediction model considering the machined surface state is of great significance to improve fatigue life prediction accuracy. Fatigue tests with different machined surface states of GH4169 alloy were conducted firstly. The influence of surface state parameters on the fatigue life was analyzed. Then, the machined surface stress concentration factor and residual stress were introduced into the fatigue crack initiation and propagation models. Finally, the fatigue life prediction model of GH4169 material considering the surface states was established. The prediction results based on the proposed model are almost within a factor of two scatter band of the test results.

Fatigue life prediction for Ni-based superalloy GH4169 considering machined surface roughness and residual stress effects