Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Byeongchan Han"'
Publikováno v:
Journal of Materials Research and Technology, Vol 31, Iss , Pp 1644-1654 (2024)
In this study, we propose a new methodology for designing preform shapes for turbofan blisk and disk forgings of IN718 superalloy using a CNN (Convolutional Neural Network). The objective function of the preform design model is set to minimize grain
Externí odkaz:
https://doaj.org/article/a840a19cb38e4012a15ae5da3daab2a4
Publikováno v:
Journal of Materials Research and Technology, Vol 30, Iss , Pp 4625-4644 (2024)
We investigated the impact of heat treatment on preform deduction during the hot forging of In718 turbine disks. Proposed preform design method leverages a Convolutional Neural Network (CNN) to aim for minimized damage and uniform grain size in the f
Externí odkaz:
https://doaj.org/article/bb206653a35f4cf898e8fe25bf0e0680
Publikováno v:
Metals, Vol 13, Iss 5, p 921 (2023)
The microstructure of forged products significantly impacts their properties, and defects or carbide distribution are not visible to the naked eye. Isothermal compression tests on M50 steel with a Gleeble 3500 tester were conducted to study microstru
Externí odkaz:
https://doaj.org/article/5287df1559804447b636e4534dfd8c14