daohang fenxiangbox searchbox qikanlogonew daohangnew searchboxnew navrightzone footerzone paper

A bimodal microstructure for fatigue resistant metals by molecular dynamics simulations AITranslate

San Diego State University; San Diego State University; San Diego State University; San Diego State University; San Diego State University
AITranslate
Publisher: Elsevier
Share Citation Information Add to Favorites

    Scan to share on WeChat or Moments

Use WeChat scan.
Share with WeChat friends or Moments

Abstract AITranslate

Highlights • A bimodal microstructure with nanocrystalline network separating each micrograin. • Reversible motion of fatigue dislocations leads to fatigue resistance metals. • Nanocrystalline network effectively “absorbs” the dislocation stress. We propose a new bimodal microstructure with promising potential for developing fatigue-resistant metals taking advantage of molecular dynamics (MD) simulations. In the proposed bimodal microstructure, each micrometer-sized grain is separated by a network of ultrafine nanocrystalline structure. Then, MD simulations of low cycle fatigue deformation of the proposed bimodal microstructure were performed. Modeling results suggest that most of the dislocations generated by the repeated plastic deformation (or the low cycle fatigue) are absorbed by the nanocrystalline network. No significant accumulation of dislocations is observed within the micrograins. This work suggests a potential path to achieve high fatigue resistance in metals as compared with their microcrystalline counterparts, which would be useful in nearly every engineering setting. Graphical abstract Download : Download high-res image (216KB) Download : Download full-size image

KeyWords AITranslate

No data

Basic Information:

DOI:https://doi.org/10.1016/j.commatsci.2019.01.026

Chinese Library Classification Number:

Citation Information:

Highlights • A bimodal microstructure with nanocrystalline network separating each micrograin. • Reversible motion of fatigue dislocations leads to fatigue resistance metals. • Nanocrystalline network effectively “absorbs” the dislocation stress. We propose a new bimodal microstructure with promising potential for developing fatigue-resistant metals taking advantage of molecular dynamics (MD) simulations. In the proposed bimodal microstructure, each micrometer-sized grain is separated by a network of ultrafine nanocrystalline structure. Then, MD simulations of low cycle fatigue deformation of the proposed bimodal microstructure were performed. Modeling results suggest that most of the dislocations generated by the repeated plastic deformation (or the low cycle fatigue) are absorbed by the nanocrystalline network. No significant accumulation of dislocations is observed within the micrograins. This work suggests a potential path to achieve high fatigue resistance in metals as compared with their microcrystalline counterparts, which would be useful in nearly every engineering setting. Graphical abstract Download : Download high-res image (216KB) Download : Download full-size image

quote

GB/T 7714-2015 [1] Wenwu Xu, Ken Ramirez, Sarah Gomez, et al. Computational Materials Science, 2019(160). DOI:10.1016/j.commatsci.2019.01.026.
MLA [1] Wenwu Xu, et al., Computational Materials Science, no. 160, 2019, https://doi.org/10.1016/j.commatsci.2019.01.026.
APA [1] Wenwu Xu, Ken Ramirez, Sarah Gomez, Rachell Lee, & Sharier Hasan. (2019). Computational Materials Science(160). https://doi.org/10.1016/j.commatsci.2019.01.026
IEEE [1] Wenwu Xu, Ken Ramirez, Sarah Gomez, Rachell Lee, and Sharier Hasan, Computational Materials Science, no. 160, 2019, doi: 10.1016/j.commatsci.2019.01.026.