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Molecular dynamics simulation of persistent slip bands formation in nickel-base superalloys

  • Jian-Feng Huang
  • Zhong-Lai Wang
  • Er-Fu Yang
  • Don McGlinchey
  • Yuan-Xin Luo
  • Yun Li
  • Yi Chen
Research Article

Abstract

Persistent slip band (PSB) is an important and typical microstructure generated during fatigue crack initiation. Intensive work has been done to investigate the mechanisms of the formation of persistent slip bands since the 1950s when Wadsworth[1] observed the fatigue fracture in copper. Simulations have indicated that PSBs formation during fatigue crack initiation is related to the dislocation driving force and interaction. In this paper, a molecular dynamics (MD) simulation associated with embedded atom model (EAM) is applied to the PSBs formation in nickel-base superalloys with different microstructure and temperature under tensiletensile loadings. Five MD models with different microstructure (pure γ phase and γ/γ′ phase), grain orientation ([1 0 0][0 1 0][0 0 1] and [1 1 1][\(\overline{1}\) 0 1][1 \(\overline{2}\) 1]) and simulation temperature (300 K, 600 K, 900 K) were built up in these simulations. Our results indicated that within the γ phase by massive dislocations, pile-up and propagation which can penetrate the grain. Also, it is found that the temperature will affect the material fatigue performance and blur PSBs appearance. The simulation results are in strong agreement with published experimental test result. This simulation is based on the work[2]. The highlights of the article include: 1) investigation of the PSB formation via molecular dynamics simulation with three different parameters, 2) conduct of a new deformation and velocity combination controlled simulation for the PSB formation, 3) high-performance computing of PSB formation, and 4) systematic analysis of the PSB formation at the atomic scale in which the dislocation plays a critical role.

Keywords

Persistent slip bands (PSB) molecular dynamics superalloys computational simulation embedded atom model (EAM) 

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Notes

Acknowledgement

The authors would like to acknowledge the scholarship award to the first author provided by the School of Engineering and Built Environment, Glasgow Caledonian University. Partial results were obtained using the EPSRC funded ARCHIE-WeSt high-performance computer (www.archie-west.ac.uk) (No. EP/K000586/1). The author thanks the support provided by University of Strathclyde.

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Copyright information

© Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Jian-Feng Huang
    • 1
  • Zhong-Lai Wang
    • 2
  • Er-Fu Yang
    • 3
  • Don McGlinchey
    • 1
  • Yuan-Xin Luo
    • 4
  • Yun Li
    • 5
  • Yi Chen
    • 5
  1. 1.School of Engineering and Built EnvironmentGlasgow Caledonian UniversityGlasgowUK
  2. 2.University of Electronic Science and Technology of ChinaChengduChina
  3. 3.Space Mechatronic Systems Technology Laboratory (SMeSTech), Department of Design, Manufacture and Engineering Management, James Weir BuildingUniversity of StrathclydeGlasgowUK
  4. 4.College of Mechanical EngineeringChongqing UniversityChongqingChina
  5. 5.School of Computer Science and Network SecurityDongguan University of TechnologyDongguanChina

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