منابع مشابه
Prediction of ultimate strength of shale using artificial neural network
A rock failure criterion is very important for prediction of the ultimate strength in rock mechanics and geotechnics; it is determined for rock mechanics studies in mining, civil, and oil wellborn drilling operations. Also shales are among the most difficult to treat formations. Therefore, in this research work, using the artificial neural network (ANN), a model was built to predict the ultimat...
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There are a number of ways to improve the corrosion and abrasion resistance of metals, including alloying, anodizing, nitriding and application of protective thin films. Alloying involves generating a binary phase diagram to determine the optimum composition and temperature dependence. For example, copper alloys known as “bronzes” offer high strength, abrasion resistance and high temperature co...
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We have developed a mechanism-based plasticity model of nanotwinned metals to investigate the effect of twin spacing on strength, ductility and work hardening rate of such materials. In particular, the unique roles of dislocation pile-up zones near twin and grain boundaries, as well as twinning partial dislocations, in strengthening and work hardening are incorporated in the model. Competition ...
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ژورنال
عنوان ژورنال: Physical Review Letters
سال: 2020
ISSN: 0031-9007,1079-7114
DOI: 10.1103/physrevlett.124.125501