Keli Liu (1), Chi Zhang (1), Junsheng Wang (1) (2), Chengpeng Xue (1), Bing Wang (1), Mingshan Zhang (3), Yanhong Yang (4), Yizhou Zhou (4)
Journal of Nondestrcutive Evalutation. (31 May 2022). DOI: https://doi.org/10.1007/s10921-022-00877-y

Keywords

Ni-based superalloys, high temperature fatigue, X-CT, carbide, porosity

Abstract

Although the effects of pores and carbides on the high temperature fatigue performance of nickel-based single crystal superalloys have been studied for decades, few studies have statistically compared their damage effects and identified the most detrimental factors. X-ray computed tomography has been used to collect the microstructure variations while the fatigue damage happens at high temperature. Combining image registration and deep learning algorithm, both carbides and pores have been extracted and quantified by a new damage factor. It shows that pores are more harmful than carbides during crack initiation, and carbides are more significant than pores during the crack propagation stage at elevated temperatures. Furthermore, by developing a multiple linear regression model, the damage effects of pore size, morphology, spacing, and distance to the sample surface on the crack initiation and propagation stage were differentiated. It is found that pore spacing is the most important factor for crack initiation.

How Our Software Was Used

Dragonfly’s Deep Learning Tool was used to segment carbides in a nickel-based single crystal superalloy.

Author Affiliation

(1) School of Materials Science & Engineering, Beijing Institute of Technology, Beijing, 100081, China
(2) Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, 100081, China
(3) Key Laboratory of the Ministry of Education for Modern Metallurgy Technology, North China University of Science and Technology, Tangshan, 063210, China
(4) Superalloys Division, Institute of Metal Research, Chinese Academy of Sciences, Shenyang, 110016, China