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Research on the Crushing Process of PELE Casing Material Based on the Crack-Softening Algorithm and Stochastic Failure Algorithm.

Authors :
Ding, Liangliang
Zhou, Jingyuan
Tang, Wenhui
Ran, Xianwen
Cheng, Ye
Source :
Materials (1996-1944); Sep2018, Vol. 11 Issue 9, p1561, 1p, 2 Color Photographs, 10 Diagrams, 3 Charts, 4 Graphs
Publication Year :
2018

Abstract

In order to more realistically reflect the penetrating and crushing process of a PELE (Penetration with Enhanced Lateral Efficiency) projectile, the stochastic failure algorithm and crack-softening algorithm were added to the corresponding material in this paper. According to the theoretical analysis of the two algorithms, the material failure parameters (stochastic constant γ, fracture energy G<subscript>f</subscript>, and tensile strength σ<subscript>T</subscript>) were determined. Then, four sets of simulation conditions ((a) no crack softening, (b) no stochastic failure, (c) no crack softening and no stochastic failure, and (d) crack softening and stochastic failure) were designed to qualitatively describe the influences of the failure algorithms, which were simulated by the finite element analysis software AUTODYN. The qualitative comparison results indicate that the simulation results after adding the two algorithms were closer to the actual situation. Finally, ten groups of simulation conditions were designed to quantitatively analyze the coincidence degree between the simulation results and the experimental results by means of two parameters: the residual velocity of the projectile and the maximum radial velocity of fragments. The results show that the simulation results coincide well with the experimental results and the errors were small. Therefore, the ideas proposed in this paper are scientific, and the conclusions obtained can provide guidance for engineering research. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19961944
Volume :
11
Issue :
9
Database :
Complementary Index
Journal :
Materials (1996-1944)
Publication Type :
Academic Journal
Accession number :
131986053
Full Text :
https://doi.org/10.3390/ma11091561