Analysing the Fatigue Behaviour and Residual Stress Relaxation of Gradient Nano-Structured 316L Steel Subjected to the Shot Peening via Deep Learning Approach
Crossref DOI link: https://doi.org/10.1007/s12540-021-00995-8
Published Online: 2021-07-29
Published Print: 2022-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Maleki, Erfan http://orcid.org/0000-0002-5995-1869
Unal, Okan
Guagliano, Mario
Bagherifard, Sara
Funding for this research was provided by:
Politecnico di Milano
Text and Data Mining valid from 2021-07-29
Version of Record valid from 2021-07-29
Article History
Received: 4 December 2020
Accepted: 17 February 2021
First Online: 29 July 2021
Conflict of interest
: The authors declare no conflict of interest.