The First Grid for the Oral and Maxillofacial Region and Its Application for Speech Analysis

2005 ◽  
Vol 44 (02) ◽  
pp. 253-256 ◽  
Author(s):  
T. Akiyama ◽  
H. Tamagawa ◽  
S. Kato ◽  
Y. Mizuno-Matsumoto ◽  
M. Nakagawa ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Data Storage ◽  
Function Analysis ◽  
Three Dimensional ◽  
Speech Disorders ◽  
Data Management System ◽  
Semantic Data ◽  
Computational Fluid Dynamics Analysis ◽  
Grid Based

Summary Objectives: Introduction of a new grid-based method for analyzing speech functions which takes into account the related information of patients’ data and the oral air flow with pronouncing analyzed by computational fluid dynamics. Methods: An on-line speech analyzer was developed for clinical use utilizing GridPort2.3.1 based on glo-bus2.4.2, comprising several computational tools such as unified data storage, semantic data analysis, computational fluid dynamics analysis and three-dimensional visualization of calculated results from different hardware sources with various types of operation systems. Results: The power transportation layer between dental clinics and computational and storage resources could be provided by using a WWW-based portal. The back-end data management system could be constructed using a storage resource broker (SRB) and extensible mark up language (XML). Conclusions: The new method allows the construction of a data warehouse through this grid-based speech function analysis in order to extract the principal factors related to speech disorders.

scholarly journals Computational fluid dynamics analysis of the hydraulic (filtration) efficiency of a residential swimming pool

2018 ◽  
Vol 16 (5) ◽  
pp. 750-761 ◽  
Author(s):  
J. Zhang ◽  
N. Sinha ◽  
M. Ross ◽  
A. E. Tejada-Martínez
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Residence Time ◽  
Dead Zone ◽  
Three Dimensional ◽  
Circulation Pattern ◽  
Filtration Efficiency ◽  
Swimming Pools ◽  
Hydraulic Efficiency ◽  
Computational Fluid Dynamics Analysis

Abstract Hydraulic or filtration efficiency of residential swimming pools, quantified in terms of residence time characteristics, is critical to disinfection and thus important to public health. In this study, a three-dimensional computational fluid dynamics model together with Eulerian and Lagrangian-based techniques are used for investigating the residence time characteristics of a passive tracer and particles in the water, representative of chemicals and pathogens, respectively. The flow pattern in the pool is found to be characterized by dead zone regions where water constituents may be retained for extended periods of times, thereby potentially decreasing the pool hydraulic efficiency. Two return-jet configurations are studied in order to understand the effect of return-jet location and intensity on the hydraulic efficiency of the pool. A two-jet configuration is found to perform on par with a three-jet configuration in removing dissolved constituents but the former is more efficient than the latter in removing or flushing particles. The latter result suggests that return-jet location and associated flow circulation pattern have an important impact on hydraulic efficiency. Thus return-jet configuration should be incorporated as a key parameter in the design of swimming pools complementing current design standards.

scholarly journals Three-dimensional computational fluid dynamics analysis of an electric submerged arc furnace

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
K. Karalis ◽  
N. Karalis ◽  
N. Karkalos ◽  
Ν. Ntallis ◽  
G. S. E. Antipas ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Fluid Dynamics ◽  
Electrical Conductivity ◽  
Computational Fluid Dynamics ◽  
Three Dimensional ◽  
Decisive Role ◽  
Arc Furnace ◽  
Computational Fluid Dynamics Analysis ◽  
Cfd Method ◽  
Submerged Arc Furnace

AbstractA computational fluid dynamics (CFD) method is proposed to analyze the operation of a submerged electric arc furnace (SAF) used in ferronickel production. A three-dimensional mathematical model was used for the time-dependent solution of the fluid flow, heat transfer and electromagnetic phenomena. The slag's physical properties, which play a crucial role in the SAF operation, were previously determined using classical molecular dynamics simulations and empirical relationships. The analysis revealed that the main slag properties affecting SAF operation are density, viscosity and electrical conductivity—the latter two being mutually dependent. The high electrical conductivity values of the slag favor melting via the high Joule heat produced within the slag region. Calculation of the dimensionless Péclet and Reynolds numbers revealed that the slag velocities play a decisive role in heat transfer and further indicate that the slag flow is laminar. The average slag velocity calculated 0.0001 m/s with maxima in the vicinity of the electrodes.

Development and Validation of a Three-Dimensional Multiphase Flow Computational Fluid Dynamics Analysis for Journal Bearings in Steam and Heavy Duty Gas Turbines

2012 ◽  
Vol 134 (10) ◽  
Author(s):  
Stephan Uhkoetter ◽  
Stefan aus der Wiesche ◽  
Michael Kursch ◽  
Christian Beck
Keyword(s):  
Fluid Dynamics ◽  
Experimental Data ◽  
Computational Fluid Dynamics ◽  
Multiphase Flow ◽  
Gas Turbines ◽  
Three Dimensional ◽  
Air Entrainment ◽  
Journal Bearings ◽  
Heavy Duty ◽  
Computational Fluid Dynamics Analysis

The traditional method for hydrodynamic journal bearing analysis usually applies the lubrication theory based on the Reynolds equation and suitable empirical modifications to cover turbulence, heat transfer, and cavitation. In cases of complex bearing geometries for steam and heavy-duty gas turbines, this approach has its obvious restrictions in regard to detail flow recirculation, mixing, mass balance, and filling level phenomena. These limitations could be circumvented by applying a computational fluid dynamics (CFD) approach, resting closer to the fundamental physical laws. The present contribution reports about the state of the art of such a fully three-dimensional multiphase-flow CFD approach, including cavitation and air entrainment for high-speed turbomachinery journal bearings. It has been developed and validated using experimental data. Due to the high ambient shear rates in bearings, the multiphase-flow model for journal bearings requires substantial modifications in comparison to common two-phase flow simulations. Based on experimental data, it is found, that particular cavitation phenomena are essential for the understanding of steam and heavy-duty-type gas turbine journal bearings.

scholarly journals Computational fluid dynamics analysis of a three-dimensional electric submerged arc furnaceoperation

2020 ◽  
Author(s):  
Konstantinos Karalis ◽  
Nikolaos Karalis ◽  
Nikolaos Karkalos ◽  
Georgios S.E. Antipas ◽  
Antimos Xenidis
Keyword(s):  
Heat Transfer ◽  
Fluid Dynamics ◽  
Electrical Conductivity ◽  
Computational Fluid Dynamics ◽  
Three Dimensional ◽  
Decisive Role ◽  
Computational Fluid Dynamics Analysis ◽  
Slag Properties ◽  
Cfd Method ◽  
Dynamics Simulations

A computational fluid dynamics (CFD) method is proposed for the analysis of the operation of a submerged electric arc furnace (EAF) used in the ferronickel production. The three-dimensional mathematical model was initiated for the time dependent solution of the fluid flow, heat transfer and electromagnetic phenomena. The physical properties of the slag, which has crucial role in the EAF operation were determined using classical molecular dynamics simulations and empirical relationships. The analysis revealed that the main slag properties affecting the EAF operation are the density, viscosity and electrical conductivity – the latter two being mutually dependent. The high electrical conductivity values of the slag favors melting via the high Joule heat produced within the slag region. Calculation of the dimensionless Péclet and Reynolds numbers revealed that the slag velocities play a decisive role in heat transfer and further indicate that the slag flow is laminar. The average slag velocity calculated 0.0001 m/s with maxima in the vicinity of the electrodes.

Impact of Nasal Septal Perforations of Varying Sizes and Locations on the Warming Function of the Nasal Cavity: A Computational Fluid-Dynamics Analysis of 5 Cases

2016 ◽  
Vol 95 (9) ◽  
pp. E9-E14 ◽  
Author(s):  
Lifeng Li ◽  
Demin Han ◽  
Luo Zhang ◽  
Yunchuan Li ◽  
Hongrui Zang ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Nasal Cavity ◽  
Three Dimensional ◽  
Nasal Septal Perforation ◽  
Computational Fluid Dynamics Analysis ◽  
Anterior Position ◽  
Flow Mechanisms ◽  
The Impact ◽  
Septal Perforations

Patients with a nasal septal perforation often exhibit symptoms associated with disturbed airflow, which can have an adverse effect on the warming function of the nasal cavity. The impact of this effect is not fully understood. The warming function is an important factor in the maintenance of nasal physiology. We conducted a study to investigate the impact of septal perforations of various sizes and locations on the warming function during inspiration in 5 patients—3 men and 2 women, aged 25 to 47 years. Three-dimensional computed tomography and computational fluid dynamics were used to model the flux of communication and temperature, and differences among patients were compared. All 5 patients exhibited an impairment of their nasal warming function. As the size of the perforation increased, the flux of communication increased and the warming function decreased. Perforations located in an anterior position were associated with greater damage to the warming function than those in a posterior position. In patients with a large or anteriorly located perforation, airflow temperature in the nasopharynx was decreased. Our findings suggest that septal perforations not only induce airflow disturbance, but they also impair the nasal warming function. Further analysis of warming function is necessary to better explore flow mechanisms in patients with structural abnormalities.

scholarly journals Three-dimensional Computational Fluid Dynamics Analysis of an Electric Submerged Arc Furnace

2021 ◽  
Author(s):  
Konstantinos Karalis ◽  
Nikolaos Karalis ◽  
Nikolaos Karkalos ◽  
Georgios S.E. Antipas ◽  
Anthimos Xenidis
Keyword(s):  
Heat Transfer ◽  
Fluid Dynamics ◽  
Electrical Conductivity ◽  
Computational Fluid Dynamics ◽  
Three Dimensional ◽  
Decisive Role ◽  
Arc Furnace ◽  
Computational Fluid Dynamics Analysis ◽  
Cfd Method ◽  
Submerged Arc Furnace

Abstract A computational fluid dynamics (CFD) method is proposed for the analysis of the operation of a submerged electric arc furnace (EAF) used in the ferronickel production. The three-dimensional mathematical model was initiated for the time dependent solution of the fluid flow, heat transfer and electromagnetic phenomena. The physical properties of the slag, which has crucial role in the EAF operation were previously determined using classical molecular dynamics simulations and empirical relationships. The analysis revealed that the main slag properties affecting the EAF operation are the density, viscosity and electrical conductivity – the latter two being mutually dependent. The high electrical conductivity values of the slag favors melting via the high Joule heat produced within the slag region. Calculation of the dimensionless Péclet and Reynolds numbers revealed that the slag velocities play a decisive role in heat transfer and further indicate that the slag flow is laminar. The average slag velocity calculated 0.0001 m/s with maxima in the vicinity of the electrodes.

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