scholarly journals Ultrasonic Scattering Attenuation in Nodular Cast Iron: Experimental and Simulation Studies

2021 ◽  
Vol 67 (5) ◽  
pp. 245-255
Author(s):  
Mário João Santos ◽  
Jaime Batista Santos

This work evaluates the ultrasonic scattering attenuation of structures with complex scatterer distributions via experimental and simulation studies. The proposed approach uses experimental attenuation knowledge to infer the scatterer size and its concentration in the studied structures, which are important for the effective construction of simulated models. The MATLAB k-Wave toolbox has been used to implement the simulator. Several cast-iron samples have been used to demonstrate the importance of simulation in the characterization of such structures. First, the scattering attenuation was evaluated using the Truell and Papadakis models, and then the results were compared with experimental ones. Emphasis was given to the Papadakis approach because it takes into account the scatterer size distribution. It is demonstrated that both analytical models provide results that are far from the experimental ones. The developed simulator for the studied samples led to a predictive model, in which the attenuation was proportional to the fifth power of the scatterer size, and the corresponding formulation is close to the one proposed by the analytical models.

2010 ◽  
Vol 3 (1) ◽  
pp. 839-845 ◽  
Author(s):  
M. Molero ◽  
I. Segura ◽  
M.G. Hernández ◽  
M.A.G. Izquierdo ◽  
J.J. Anaya

1984 ◽  
Vol 34 ◽  
Author(s):  
Kou-Chang Su ◽  
Itsuo Ohnaka ◽  
Isamu Yamauchi ◽  
Tatsuichi Fukusako

ABSTRACTSolidification of a nodular iron casting was simulated by an undercooling nucleation and diffusion controlled growth model. Simulated cooling curves were similar to measured ones but estimating nodular size distribution requires improving the model.


2014 ◽  
Vol 17 (5) ◽  
pp. 1167-1172 ◽  
Author(s):  
Tânia Nogueira Fonseca Souza ◽  
Rogéria Alves Perilo Sousa Nogueira ◽  
Francis José Saldanha Franco ◽  
Maria Teresa Paulino Aguilar ◽  
Paulo Roberto Cetlin

Wear ◽  
2013 ◽  
Vol 308 (1-2) ◽  
pp. 199-205 ◽  
Author(s):  
V. Oksanen ◽  
P. Andersson ◽  
K. Valtonen ◽  
K. Holmberg ◽  
V.-T. Kuokkala

Author(s):  
Tito Andriollo ◽  
Chaoling Xu ◽  
Yubin Zhang ◽  
Niels Skat Tiedje ◽  
Jesper Hattel

Author(s):  
Mona E. Elbashier ◽  
Suhaib Alameen ◽  
Caroline Edward Ayad ◽  
Mohamed E. M. Gar-Elnabi

This study concern to characterize the pancreas areato head, body and tail using Gray Level Run Length Matrix (GLRLM) and extract classification features from CT images. The GLRLM techniques included eleven’s features. To find the gray level distribution in CT images it complements the GLRLM features extracted from CT images with runs of gray level in pixels and estimate the size distribution of thesubpatterns. analyzing the image with Interactive Data Language IDL software to measure the grey level distribution of images. The results show that the Gray Level Run Length Matrix and  features give classification accuracy of pancreashead 89.2%, body 93.6 and the tail classification accuracy 93.5%. The overall classification accuracy of pancreas area 92.0%.These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new CT images with the appropriate pancreas area names.


2020 ◽  
Vol 57 (10) ◽  
pp. 714-742
Author(s):  
V. G. Efremenko ◽  
K. M. Wu ◽  
K. Shimizu ◽  
I. Petryshynets ◽  
B. V. Efremenko ◽  
...  

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