Skip to Main content Skip to Navigation
Conference papers

Smoothing of EBSD datasets to quantify the geometrically necessary dislocation density: application to the discrimination of dynamically vs. post-dynamically recrystallized grains in forged nickel-based superalloys.

Document type :
Conference papers
Complete list of metadata

https://hal-mines-paristech.archives-ouvertes.fr/hal-02418251
Contributor : Magalie Prudon <>
Submitted on : Wednesday, December 18, 2019 - 4:10:17 PM
Last modification on : Wednesday, March 17, 2021 - 5:20:03 PM

Identifiers

  • HAL Id : hal-02418251, version 1

Citation

Anthony Seret, Alexis Nicolaÿ, Jean-Michel Franchet, Charbel Moussa, Marc Bernacki, et al.. Smoothing of EBSD datasets to quantify the geometrically necessary dislocation density: application to the discrimination of dynamically vs. post-dynamically recrystallized grains in forged nickel-based superalloys.. La Métallurgie : Quel avenir!, Apr 2019, Nancy, France. ⟨hal-02418251⟩

Share

Metrics

Record views

33