The effect of low temperatures on the rules of the development of fatigue cracks in 10GN2MFA steel

1978 ◽  
Vol 10 (5) ◽  
pp. 534-539
Author(s):  
V. V. Pokrovskii
Keyword(s):  
Low Temperatures ◽  
Fatigue Cracks

Prediction of the fatigue strength of metals at low temperatures based on artificial intelligence

2021 ◽  
pp. 11-14
Author(s):  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Fatigue Strength ◽  
Low Temperatures ◽  
Intelligent System ◽  
Fatigue Cracks ◽  
Test Conditions ◽  
Neural Network Prediction ◽  
Network Prediction ◽  
Trained Neural Network

An intelligent system for predicting the fatigue strength of metals in a wide temperature range is developed using a specially trained neural network. The system makes it possible to predict the number of load cycles of a part to failure, as well as the start of formation and growth rate of fatigue cracks for different test conditions, including at low temperatures. Keywords: neural network, prediction of loading cycles, low temperatures, fatigue strength. [email protected]

Development of fatigue cracks at low temperatures

1976 ◽  
Vol 11 (2) ◽  
pp. 172-175 ◽  
Author(s):  
S. Ya. Yarema ◽  
O. P. Ostash
Keyword(s):  
Low Temperatures ◽  
Fatigue Cracks

scholarly journals Propagation of Fatigue Cracks in Aluminium at Low Temperatures

1975 ◽  
Vol 16 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Tsugio Ogura ◽  
Seiichi Karashima ◽  
Kuniyasu Tsurukame
Keyword(s):  
Low Temperatures ◽  
Fatigue Cracks

Neural Network Modeling of the Fatigue Strength of Metal Materials at Low Temperatures

2021 ◽  
Vol 1037 ◽  
pp. 655-660
Author(s):  
Yury G. Kabaldin ◽  
Alexander A. Khlybov ◽  
Maksim S. Anosov ◽  
Dmitry A. Ryabov ◽  
Andrey V. Kiselev
Keyword(s):  
Neural Network ◽  
Fatigue Strength ◽  
Low Temperatures ◽  
Intelligent System ◽  
Fatigue Cracks ◽  
Neural Network Modeling ◽  
Metallic Materials ◽  
Test Conditions ◽  
Metal Materials ◽  
Cycles To Failure

An intelligent system has been developed to predict the fatigue strength of metallic materials over a wide temperature range. A neural network, properly trained, is a model of a dynamic system of fatigue failure of a part and is able to predict the values of the number of loading cycles to failure, as well as the onset of formation and growth rate of fatigue cracks for various test conditions, including at low temperatures.

Effect of the structure of steel 03Kh13AG19 on propagation of fatigue cracks at normal and low temperatures

1978 ◽  
Vol 13 (6) ◽  
pp. 631-636
Author(s):  
O. P. Ostash ◽  
S. Ya. Yarema ◽  
K. A. Yushchenko ◽  
V. I. Belotserkovets ◽  
V. T. Zhmur-Klimenko ◽  
...  
Keyword(s):  
Low Temperatures ◽  
Fatigue Cracks ◽  
Steel 03Kh13ag19

The initial fatigue crack

1957 ◽  
Vol 242 (1229) ◽  
pp. 189-197 ◽  
Keyword(s):  
Fatigue Crack ◽  
Grain Boundaries ◽  
Low Temperatures ◽  
Room Temperature ◽  
Fatigue Cracks ◽  
Slip Bands ◽  
Persistent Slip Bands

A discussion is given of the formation of persistent slip bands during cyclic stressing and their development into fatigue cracks. In copper and in aluminium at low temperatures fatigue cracks appear to be formed in this way; at room temperature in aluminium they may form also along grain boundaries.

The development of fatigue cracks in armco iron at low temperatures

1975 ◽  
Vol 7 (6) ◽  
pp. 713-716
Author(s):  
V. M. Goritskii ◽  
V. F. Terent'ev ◽  
L. G. Orlov ◽  
V. P. Balov ◽  
M. P. Shebatinov
Keyword(s):  
Low Temperatures ◽  
Armco Iron ◽  
Fatigue Cracks

Formation of Persistent Slip Band in Fatigued Copper Single Crystals

1982 ◽  
Vol 40 ◽  
pp. 470-471
Author(s):  
N. Y. Jin
Keyword(s):  
Volume Fraction ◽  
Fatigue Cracks ◽  
Wall Structure ◽  
Matrix Structure ◽  
Dislocation Dipole ◽  
Slip Bands ◽  
Persistent Slip Bands ◽  
The Matrix ◽  
Hard Shell ◽  
Copper Single Crystals

Localised plastic deformation in Persistent Slip Bands(PSBs) is a characteristic feature of fatigue in many materials. The dislocation structure in the PSBs contains regularly spaced dislocation dipole walls occupying a volume fraction of around 10%. The remainder of the specimen, the inactive "matrix", contains dislocation veins at a volume fraction of 50% or more. Walls and veins are both separated by regions in which the dislocation density is lower by some orders of magnitude. Since the PSBs offer favorable sites for the initiation of fatigue cracks, the formation of the PSB wall structure is of great interest. Winter has proposed that PSBs form as the result of a transformation of the matrix structure to a regular wall structure, and that the instability occurs among the broad dipoles near the center of a vein rather than in the hard shell surounding the vein as argued by Kulmann-Wilsdorf.

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