Low Temperature Release of Stored Energy in Cold Worked Copper

1956 ◽  
Vol 104 (3) ◽  
pp. 626-633 ◽  
Author(s):  
J. W. Henderson ◽  
J. S. Koehler
Keyword(s):  
Low Temperature ◽  
Stored Energy ◽  
Cold Worked

LOW TEMPERATURE INTERNAL FRICTION OF COLD WORKED ZIRCONIUM

1971 ◽  
Vol 32 (C2) ◽  
pp. C2-209-C2-213 ◽  
Author(s):  
E. J. SAVINO ◽  
E. A. BISOGNI
Keyword(s):  
Low Temperature ◽  
Internal Friction ◽  
Cold Worked

Electrical resistance and stored energy in low-temperature irradiation of titanium diboride

1977 ◽  
Vol 42 (3) ◽  
pp. 251-253 ◽  
Author(s):  
L. S. Topchyan ◽  
I. A. Naskidashvili ◽  
V. V. Ogorodnikov ◽  
V. V. Petrosyan ◽  
L. M. Murzin
Keyword(s):  
Low Temperature ◽  
Titanium Diboride ◽  
Electrical Resistance ◽  
Stored Energy ◽  
Temperature Irradiation

scholarly journals Mechanical Properties of Cold-worked and High-Low Temperature Duplex-aged Ti-15V-3Cr-3Sn-3Al Alloy.

1991 ◽  
Vol 31 (8) ◽  
pp. 856-862 ◽  
Author(s):  
Naotake Niwa ◽  
Akira Arai ◽  
Hideo Takatori ◽  
Kunio Ito
Keyword(s):  
Mechanical Properties ◽  
Low Temperature ◽  
Cold Worked

scholarly journals ON THE EFFECT OF WORKING VELOCITY ON THE STORED ENERGY OF COLD WORKED ARMCO IRON

1957 ◽  
Vol 43 (1) ◽  
pp. 28-31
Author(s):  
Genjiro Mima ◽  
Toshimi Yamane
Keyword(s):  
Armco Iron ◽  
Stored Energy ◽  
Cold Worked

scholarly journals Effects of Annealing Temperature on Recrystallization Texture and Microstructure Uniformity of High Purity Tantalum

Metals ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 75 ◽  
Author(s):  
Jialin Zhu ◽  
Chao Deng ◽  
Yahui Liu ◽  
Nan Lin ◽  
Shifeng Liu
Keyword(s):  
Low Temperature ◽  
Electron Backscatter Diffraction ◽  
Stored Energy ◽  
X Ray Diffraction ◽  
Center Layer ◽  
X Ray ◽  
Texture Intensity ◽  
Low Temperature Annealing ◽  
Transmission Electron ◽  
Backscatter Diffraction

One hundred and thirty-five degree clock rolling significantly improves the texture homogeneity of tantalum sheets along the thickness, but a distinctly fragmented substructure is formed within {111} (<111>//normal direction (ND)) and {100} (<100>//ND) deformation grains, which is not suitable to obtain a uniform recrystallization microstructure. Thus, effects of different annealing temperatures on the microstructure and texture heterogeneity of tantalum sheets along the thickness were investigated by X-ray diffraction (XRD), electron backscatter diffraction (EBSD) and transmission electron microscopy (TEM). Results show that the texture distribution along θ-fiber and γ-fiber is irregular and many large grains with {111} orientation develop during annealing at high temperature. However, low-temperature annealing can not only weaken the texture intensity in the surface and the center layer but also introduce a more uniform grain size distribution. This result can be attributed to the subgrain-nucleation-dominated recrystallization mechanism induced by recovery at low temperature, and moreover, a considerable decline of recrystallization driving force resulting from the release of stored energy in the deformation matrix.

Simulation of the Texture Evolution of Aluminium Alloys During Primary Static Recrystallization Using a Cellular Automaton Approach

1998 ◽  
Vol 529 ◽  
Author(s):  
V. Marx ◽  
G. Gottstein
Keyword(s):  
Cellular Automaton ◽  
Aluminium Alloys ◽  
Static Recrystallization ◽  
Texture Evolution ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Stored Energy ◽  
Grain Boundary Mobility ◽  
Surrounding Matrix ◽  
Cold Worked

AbstractA 3D model has been developed to simulate both primary static recrystallization and recovery of cold worked aluminium alloys. The model is based on a modified cellular automaton approach and incorporates the influence of crystallographic texture and microstructure in respect to both mechanisms mentioned above. The model takes into account oriented nucleation using an approach developed by Nes for aluminium alloys. The subsequent growth of the nuclei depends on the local stored energy of the deformed matrix (i.e. the driving pressure) and the misorientation between a growing nucleus and its surrounding matrix (i.e. the grain boundary mobility). This approach allows to model preferred growth of grains that exhibit maximum growth rate orientation relationship, e.g. for aluminium alloys a 40° <111> relationship with the surrounding matrix. The model simulates kinetics, microstructure and texture development during heat treatment, discrete in time and space.

The nature of hardening produced by low-temperature tempering of cold-worked carbon steels

1968 ◽  
Vol 3 (2) ◽  
pp. 145-148 ◽  
Author(s):  
K. F. Starodubov ◽  
V. K. Babich ◽  
V. A. Pirogov
Keyword(s):  
Low Temperature ◽  
Carbon Steels ◽  
Cold Worked
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