Computation of electrical conditions inside wire‐duct electrostatic precipitators using a combined finite‐element, finite‐difference technique

1986 ◽  
Vol 59 (6) ◽  
pp. 1799-1806 ◽  
Author(s):  
Gregory A. Kallio ◽  
David E. Stock
1978 ◽  
Vol 100 (1) ◽  
pp. 188-192
Author(s):  
N. Perrone

By means of a simple example, a stretched string under transverse load, finite element and finite difference methods which are so widely used in engineering are illustrated. The finite element method is shown to be an essentially modified Raleigh-Ritz procedure. The finite difference technique is applied directly to the string differential equation; an energy related approach is also discussed. The manner in which a combination finite element/finite difference solution can be effected for the same physical problem is treated. Application of both the finite element and finite difference methods to more complex problems as well as selected programs and depositories are mentioned.


2003 ◽  
Vol 8 (1) ◽  
pp. 3-18 ◽  
Author(s):  
R. Baronas ◽  
F. Ivanauskas ◽  
J. Kulys

A mathematical model of amperometric biosensors has been developed to simulate the biosensor response in stirred as well as non stirred solution. The model involves three regions: the enzyme layer where enzyme reaction as well as mass transport by diffusion takes place, a diffusion limiting region where only the diffusion takes place, and a convective region, where the analyte concentration is maintained constant. Using computer simulation the influence of the thickness of the enzyme layer as well the diffusion one on the biosensor response was investigated. The computer simulation was carried out using the finite difference technique.


2001 ◽  
Vol 6 (2) ◽  
pp. 3-14 ◽  
Author(s):  
R. Baronas ◽  
F. Ivanauskas ◽  
I. Juodeikienė ◽  
A. Kajalavičius

A model of moisture movement in wood is presented in this paper in a two-dimensional-in-space formulation. The finite-difference technique has been used in order to obtain the solution of the problem. The model was applied to predict the moisture content in sawn boards from pine during long term storage under outdoor climatic conditions. The satisfactory agreement between the numerical solution and experimental data was obtained.


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