Flow regime independent volume fraction estimation in three-phase flows using dual-energy broad beam technique and artificial neural network

2016 ◽  
Vol 28 (S1) ◽  
pp. 1265-1274 ◽  
Author(s):  
G. H. Roshani ◽  
E. Nazemi ◽  
M. M. Roshani
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Flow Regime ◽  
Volume Fraction ◽  
Dual Energy ◽  
Broad Beam ◽  
Three Phase ◽  
Artificial Neural ◽  
Beam Technique ◽  
Flow Regime Independent

Bridging Precipitate Microstructure and Mechanical Hardness of Nickel-Based Superalloy Through Artificial Neural Network Model

2020 ◽  
Author(s):  
Yangping Li ◽  
Yangyi Liu ◽  
Sihua Luo ◽  
Zi Wang ◽  
Ke Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Mechanical Properties ◽  
Artificial Neural Network ◽  
Cooling Rate ◽  
Volume Fraction ◽  
Sem Images ◽  
Mechanical Hardness ◽  
Nickel Based Superalloy ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Abstract The attractive mechanical properties of nickel-based superalloys primarily arise from an assembly of γ′ precipitates with desirable size, volume fraction, morphology and spatial distribution. In addition, the solutioning cooling rate after super solvus heat treatment is critical for controlling the features of γ′ precipitates. However, the correlation between these multidimensional parameters and mechanical hardness has not been well established to date. Scanning electron microscope (SEM) images with different γ′ precipitates were investigated in this study, and artificial neural network (ANN) method was used to build a microstructure-mechanical property model. The critical step in this work is to extract different microstructural features from hundreds of SEM images. In order to improve the accuracy of prediction, the cooling rate was also considered as the input. In this work, the methodology was proved to be capable of bridging microstructural features and mechanical properties under the inspiration of material genome spirit.

Prediction of volume fractions in three-phase flows using nuclear technique and artificial neural network

2009 ◽  
Vol 67 (10) ◽  
pp. 1812-1818 ◽  
Author(s):  
César Marques Salgado ◽  
Luis E.B. Brandão ◽  
Roberto Schirru ◽  
Cláudio M.N.A. Pereira ◽  
Ademir Xavier da Silva ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Nuclear Technique ◽  
Volume Fractions ◽  
Three Phase ◽  
Artificial Neural

scholarly journals Application Of Artificial Neural Network In The Efficient Control Of Three-phase Induction Motor

2010 ◽  
Vol 15 (2) ◽  
pp. 87-96 ◽  
Author(s):  
Arineu F. dos Santos ◽  
Francisco de Assis dos Santos Neves ◽  
Ronaldo Ribeiro Barbosa de Aquino ◽  
Marcelo Cabral Cavalcanti
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Induction Motor ◽  
Three Phase ◽  
Efficient Control ◽  
Artificial Neural
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