MICROSTRUCTURAL DESCRIPTORS AND CELLULAR AUTOMATA SIMULATION OF THE EFFECTS OF NON-RANDOM NUCLEI LOCATION ON RECRYSTALLIZATION IN TWO DIMENSIONS

Microstructural descriptors and cellular automata simulation of the effects of non-random nuclei location on recrystallization in two dimensions

The effect of non-random nuclei location and the efficiency of microstructural descriptors in assessing such a situation 534 are studied.Cellular automata simulation of recrystallization in two dimensions is carried out to simulate microstrutural evolution for nuclei distribution ranging from a periodic arrangement to clusters PABA of nuclei.The si

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Kick Prediction Method Based on Artificial Neural Network Model

Kick is one of the most important drilling problems, and because its occurrence makes drilling engineering extremely complex, it is essential to predict the possibility of kick Eco Palm Wooden Spoons as soon as possible.In this study, k-means clustering was combined with four artificial neural networks: regularized RBFNN, generalized RBFNN, GRNN, a

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