Application of a neural network for estimating the crack formation and propagation in sol-gel CeO2 coatings during processing at temperature

Küçük Resim Yok

Tarih

2014

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Institute of Metals Technology

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

In this study the application of a neural network to estimate the crack propagation and crack size in CeO2 coatings on a Ni substrate during processing at temperature was evaluated as a function of the Ce content in solutions with increasing processing temperatures from 24 oC and 700 oC. In this respect, CeO2 coatings were prepared on Ni tapes from solutions derived from Ce-based precursors using a sol-gel method for YBCO-coated conductors. The crack size of the coating was determined using an in-situ Hot-Stage ESEM depending on the temperature at a certain time in vacuum conditions. It was determined that the crack size of the coating increased with the increasing processing temperature. Measuring the crack sizes of the coatings using Hot-Stage ESEM is an expensive and time-consuming process. In order to eliminate these kinds of problems a neural-network approach was used to estimate the crack sizes of the coatings at different temperatures. The neural network was constructed directly from the experimental results. It was concluded that the estimation of the crack propagation of CeO2 coatings on a Ni tape substrate are reasonable for the processing temperatures.

Açıklama

Anahtar Kelimeler

Ceo2, Crack, Neural network, Sol-gel

Kaynak

Materiali in Tehnologije

WoS Q Değeri

Scopus Q Değeri

Q3

Cilt

48

Sayı

4

Künye