Domain disruption and defect accumulation during unipolar electric fatigue in a BZT-BCT ceramic

2017 ◽  
Vol 111 (25) ◽  
pp. 252902 ◽  
Author(s):  
Zhongming Fan ◽  
Chao Zhou ◽  
Xiaobing Ren ◽  
Xiaoli Tan
Keyword(s):  
Defect Accumulation ◽  
Electric Fatigue

Electric Fatigue in Metal/Ferroelectric Polymer/SiO2/p-Si Capacitors

2013 ◽  
Vol 706-708 ◽  
pp. 103-107
Author(s):  
Jing Hang Hu ◽  
Xue Jian Yan ◽  
Guo Dong Zhu
Keyword(s):  
Nonvolatile Memory ◽  
Memory Devices ◽  
Electrical Stability ◽  
Ferroelectric Polymer ◽  
Nonvolatile Memory Devices ◽  
Electric Fatigue ◽  
Fatigue Endurance

In recent years ferroelectric polymer-based nonvolatile memory devices have attracted much attention due to their flexibility, transparency and ease of production. However, their electrical stability is seldom studied. In this letter we report the observation of electric fatigue in metal/ferroelectric polymer/SiO2/p-Si capacitor memories, which is compared with the electric fatigue obtained from metal/ferroelectric polymer/p-Si capacitors. Our experiments indicate that the existence of SiO2 layer has greatly improved the fatigue endurance in metal/ferroelectric polymer/SiO2/p-Si capacitors. We also discuss the possible mechanism causing this improved fatigue endurance.

scholarly journals In-situ estimation of defect volume from parameters of acoustic emission signals

2021 ◽  
Vol 2103 (1) ◽  
pp. 012066
Author(s):  
E E Damaskinskaya ◽  
V L Hilarov ◽  
I A Panteleev ◽  
D V Korost ◽  
K A Damaskinskii
Keyword(s):  
Acoustic Emission ◽  
Defect Formation ◽  
Heterogeneous Material ◽  
Joint Analysis ◽  
Defect Accumulation ◽  
Computed Microtomography ◽  
X Ray Computed ◽  
Average Defect ◽  
Ct Data ◽  
Defect Volume

Abstract By using two methods of nondestructive testing, i.e., acoustic emission (AE) measurements and X-ray computed microtomography (CT), an experimental study of defect accumulation during a uniaxial compression of a natural heterogeneous material was carried out. A joint analysis of the AE and CT data revealed a correspondence between energy characteristics of the acoustic emission accompanying defect formation and volume of defects. It is shown that the dependence of the total energy of AE signals on the defect volume is linear, which is consistent with the phenomenological dependences for earthquake focuses obtained earlier. The linear dependence was used to estimate the average defect size. It is shown that, regardless of the assumed defect shape, its average linear size does not exceed 100 μm.

The role of the impurity atmosphere of dislocations during radiation defect accumulation in silicon

1984 ◽  
Vol 82 (3-4) ◽  
pp. 287-293 ◽  
Author(s):  
L. A. Kazakevich ◽  
P. F. Lugakov ◽  
I. M. Filippov
Keyword(s):  
Radiation Defect ◽  
Defect Accumulation

In situ study of defect accumulation in zirconium under heavy ion irradiation

2013 ◽  
Vol 433 (1-3) ◽  
pp. 95-107 ◽  
Author(s):  
Y. Idrees ◽  
Z. Yao ◽  
M.A. Kirk ◽  
M.R. Daymond
Keyword(s):  
Ion Irradiation ◽  
Heavy Ion ◽  
In Situ Study ◽  
Heavy Ion Irradiation ◽  
Defect Accumulation

Criterion for fracture transition to critical stage

2017 ◽  
Vol 5 (4) ◽  
pp. SP1-SP8 ◽  
Author(s):  
Ekaterina Damaskinskaya ◽  
Dmitry Frolov ◽  
Dina Gafurova ◽  
Dmitry Korost ◽  
Ivan Panteleev
Keyword(s):  
Acoustic Emission ◽  
Material Structure ◽  
Structural Element ◽  
Self Organized ◽  
Defect Accumulation ◽  
Fracture Transition ◽  
Self Development ◽  
Self Organized Criticality ◽  
Power Law Function ◽  
Laboratory Investigations

We have developed an analysis of data obtained in laboratory investigations of deformation of rocks by acoustic emission and X-ray microtomography. We found that defect accumulation occurs in fundamentally differing manners during loading. At first, defects are generated randomly and have a specific size determined by a typical structural element of a material (e.g., a grain in granite). Then the defects with sizes not dictated by the material structure are generated. The interaction between these defects gives rise to critical defects that are capable of self-development. In all probability, a sample breakdown results from the evolution of the ensemble of critical defects. We found that the fracture stages can be distinguished by the type of energy distribution function of the acoustic emission signals. At the first stage, the distribution is approximated by an exponential function, whereas the second stage is characterized by a power-law function that points to a self-organized criticality state. This approach allows an early prediction (at early stages of deformation) of the spatial region in which a fault can be formed.

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