SlideShare a Scribd company logo
FOR A CONTINUOUS WORKING OF THE VASILESCU-KARPEN’S
CONCENTRATION PILE
Mihai DOGARU – Society for Promotion of Renewable, Inexhaustible and New Energies –
SPERIN, mihdogaru@yahoo.com
Mircea Dimitrie CAZACU – University POLITEHNICA, Bucharest, cazacu@hydrop.pub.ro
1. The imperious actuality of Vasilescu Karpen concentration pile.
The global warming in the two last centuries, due to the low efficiencies of the
thermodynamical cycles, as well as the gas emission with green-house effect, followed in the
last time of the important climate changes, manifested by strong storms and torrential rains,
caused by the water vapor excess, resulted by burning, after 1850 years, also of the
hydrocarbons too; will lead in the same time, in our opinion, at the situation that the Earth
will lose gradually its seasons [1].
To avoid this effect, besides the arising of afforestated surfaces, on the first place of the
technical proceedings the concentration pile of the famous Romanian scientist Nicolae
Vasilescu Karpen [2]÷[7] situate as the only proceeding known by us, which will produce the
electric energy by diminishing of electrolyte and consequently environment temperature.
2. Historical antecedents of the electrochemistry
Although the founder of the interdisciplinary science of the Electro-magneto-dynamics
in 1831 and of the Electrochemistry in 1833 is the famous physicist and chemist Michael
Faraday (1791-1867), galvanizing applications are known yet from the asiro-babilonian
epoch, when the statues are gilded means by an electric pile.
In an previous paper [8] we tried to obtain the continuous working of the K pile,
applying a magnetic field created by permanent magnets, in the aim to intensify the
connective heat transfer between the electrolyte and the environment through the pile walls.
In this work we shall present a mathematical model of the K pile working in absence of
magnetic field, but considering the thermal-siphon effect of the electrolyte density variation.
3. Two-dimensional mathematical model of the K pile and equation transformation
3.1. Electric field equations [9] with the component JZ = 0 according with figure 1, are:
- electric charge conservation equation, unstable in the iterative numerical calculus,
which can be identically verified by the introduction of the electric current line function
(X,Y) = const. and which, with respect of the potential linesI ( ),X Y∈ are in the relations:
X Y
div 0
J J
J
X Y
∂ ∂
= + ≡
∂ ∂
ur
→ X YJ X
′ ′= =∈I and Y XJ ′ ′Y= − =∈I , (1)
which permits the introduction of complex variable function
( ) ( ) ( ), ,Z X Y i X YΦ =∈ + I , (2)
whose real part, representing by the equation (1) verification, the harmonic potential,
2 2
X Y,
0
X Y
′′ ′′∆ ∈=∈ +∈ = , (3)
the imaginary part, representing the electric current line function
( )X Y
X Y
d d
d d d 0 , const.
X Y
X Y X Y
J J
′ ′= → = + = → =I I I I , (4)
supposing the spectral line orthogonality ( ), const.X Y∈ = and ( ), const.X Y =I
- magnetic circuit law in the case of quasistationary regime,
Y Y
X Y Z
X Y Z
rot X
i j k
H H H H
H J iJ jJ kJ i j k X
X Y Z Z Z X Y
H H H
∂ ∂ ∂ ∂∂ ∂ ∂ ⎛ ⎞
= = + + = = − + + −⎜ ⎟
∂ ∂ ∂ ∂ ∂ ∂ ∂⎝ ⎠
r r r
uur ur r r rrr r
(5)
and which, in the case of made hypothesis, one reduces of the equations:
Z Y
X
1 YH H B
J
Y Z Z
∂ ∂ ∂
= − − ⋅
∂ ∂ µ ∂
, X Z
Y
1 XH H B
J
Z X Z
∂ ∂ ∂
= − ⋅
∂ ∂ µ ∂
, Y X
Z 0
H H
J
X Y
∂ ∂
= − =
∂ ∂
, (5’)
the last of these equations demonstrating the two-dimensional magnetic field dependence on a
scalar potential ( , )X Yℵ , in accordance with the equations:
( ) ( )X Y X Y X X, grad ,H X Y i H jH X Y i j H′ ′ ′= + = ℵ = ℵ + ℵ → =ℵ
r r r r r
and , (5”)YH ′=ℵY
- Ohm’s law, where σ is the electric conductivity and ( ),X Y∈ the electric potential
( ) ( )x Y X Ygrad , =J iJ jJ X Y E iE jE= + = ∈ σ = σ +
ur urr r r r
, → X XJ EX
′=∈ = σ , . (3)Y Y YJ E′=∈ = σ
Y
T0 C Ψ = 0
c Ψ = 0
+ _ g
η = 0
X A a 0
T0 T0 = const.
JX
Fig. 1. Two-dimensional configuration of a K pile, boundary conditions and co-ordinate axes
3.2. The scalar temperature field equation, considering the heat connective transfer
due to the K pile cooling in permanent regime, with the constant specific heat and thermal
conduction coefficient, is
( ) ( ) ( ) ( ) ( )2 2
2 2
X Y X YX Y
,T c T U T V T T R J J K J X Y′ ′ ′′ ′′ρ + = λ + + + − ⎡ ⎤⎣ ⎦ , (6)
- liquid state equation of variable density in accordance with the expression [10]
( ) ( ) ( )0 0 01T T Tρ = ρ −β⋅δ = ρ −ρ β − 0T Twith X,Y T X,Y 0 X,YT′ ′ ′ ′ρ = ρ = −ρ β , (7)
where the influence of the relative volume variation δW/W as function of the temperature
variation,
( )T 0
0
0
T-T 3
W WW
T
W W
−δ
β = δ = = α being the volume dilatation coefficient, three time greater
than the linear coefficient ( )T 0
0
0
L LL
T T
L L
−δ
α = δ = −T .
3.3. The equation system of the velocity hydrodynamic field, composed by:
- motion equations on the two directions, of a liquid with constant viscosity
( ) ( ) ( ) ( )2 2X Y X X Y
UU VU T P U U T′ ′ ′ ′′ ′′+ ⋅ρ + = υ + ⋅ρ , (8)
( ) ( ) ( ) ( )2 2X Y Y X Y
UV VV T P V V g T⎡′ ′ ′ ′′ ′′+ ⋅ρ + = υ + − ⋅ρ⎣
⎤
⎦ , (9)
- electrolyte mass conservation equation, unstable in the iterative numerical calculus,
is according the estimation from [10]
( ) ( ) ( ) ( ) ( )X Y 0 X YX Y
1 0U V T U T V T T U V′ ′ ′ ′ ′ ′ρ + ρ = −β + + −β − + =⎡ ⎤⎣ ⎦ , (10)
but identically verified, introducing the streamline function Ψ (X,Y) = CT. by the relations:
( )
( ) Y
1
,
,
U X Y
T X Y
′= Ψ
ρ⎡ ⎤⎣ ⎦
, ( )
( ) X
1
,
,
V X Y
T X Y
′= − Ψ
ρ⎡ ⎤⎣ ⎦
. (11)
By introduction of the thermal-current line function and pressure function
elimination in virtue of Schwarz’s relation, of second order mixed derivative commutativity
, one obtains a nonlinear with partial differential equation up to 4X,Y Y,XP P′′ ′′= th
order for
thermal-current line function and up to 2nd
order for temperature function.
4. The equation system transformation for the numerical treatment
For more generality of the numerical solving, we shall use the dimensionless variables
and functions, denoting by:
,
X Y
x y
A A
= = and
m m m 0 0 0
,, , , , ,
U V T J
j
U U U A T J
u v
Ψ ∈
= = ψ = θ = = ε =
∈ 0
η =
I
I
,(12)
with which the relation (2) becomes in dimensionless form ( ) ( ) (, ,z x y i xϕ = ε + η )y .
4.1. The electric charge conservation equation, replacing the partial differentials
with the expressions in finite differences, in the case of a quadratic grid δy = δx = δ, becomes
2 2
x y,
0
x y
′′ ′′∆ ε = ε + ε = , → 1 0 3 2 0 4
2 2
2 2
0
ε − ε + ε ε − ε + ε
+ =
δ δ
, (13)
Thus, the solving of the algebraic relation (13) makes the calculation of the harmonic
electric potential
4
0 i
i=1
1
4
ε = ε∑ , (13’)
associated to the equation with partial differentials (13), representing the very known formula
of the mean value.
The numerical solution stability is assured always by the error propagation relation
in any both calculus directions in the considered domain [11]
x,y
n+1 n
1
4
±
δε = δε . (14)
4.2. Temperature field equation, utilizing the (11) relations, becomes in
dimensionless form
( ) ( )2 2
2 2 2
y x x y x y xx y
1
o Ka
Pé
j j j j′ ′ ′ ′ ′′ ′′ψ θ −ψ θ = θ + θ + ℑ + − + 2
y , (15)
in which one denoted the similitude numbers Péclet, Joule and Karpen of the specific thermal-
electric considered phenomenon, by the expressions:
m
0 0
Pé=
U A
aT ρ
,
2
0
m
o=
R J A
cU
ℑ , 0
m
Ka =
K A J
cU
. (16)
Replacing in (15) the expressions of partial differentials, deduced by the finite
difference method and expliciting the θ0 value from the linear part, one obtain the associate
algebraic relation
( )( ) ( )( )
2 24
2
0 i 1 3 2 4 2 4 1 3 0
i=1
1 Pé Pé o PéKa
4 16 4 4
j j
ℑ δ δ
θ = θ + ψ − ψ θ − θ − ψ − ψ θ − θ + −⎡ ⎤⎣ ⎦∑ 0 , (17)
from which we can deduce the error propagation relation, for instance on the calculus
direction ± x
( ) ( ) 2 2
2 4 2 4x 2
n+1 n n n+1 n+1
Pé - Pé -1 Pé o
4 16 16 4 4
j± ψ ψ θ θ⎛ ⎞ ℑ δ ℑ δ
δθ = ± δθ δψ + δ − δ⎜ ⎟
⎝ ⎠
m
Pé o
j , (18)
which assure numerical solution stability in the conditions:
( )2 4Pé -1
1
4 16
ψ ψ⎛ ⎞
±⎜ ⎟
⎝ ⎠
p , ( )2 4Pé - 16θ θ p , and .
(19)
2
Pé o 4ℑ δ p 2
Pé o 4ℑ δ p
5. The specific boundary conditions of the studied problem in the case of steady state:
5.1. For the hydrodynamic field, ΨC = 0 on the whole vessel outline containing the
electrolyte, inclusive at its free surface and on the electrode axis, with unknown values ± ΨE
on the two electrodes, which will result follows the iterative numerical calculus and of the
electric current resulted by closing of the circuit on the exterior charge resistor.
5.2. For the thermal field, TC = T0 = the environment temperature, on the whole
vessel outline supposed as thermal perfect conductor, inclusive at the electrolyte free surface,
with unknown but constant values TE = const. on the two electrodes, good thermal conductors
and depending of the pile working regime intensity,
5.3. For the electric field, on the axis perpendicularly on the two electrodes A E⊥ and
with unknown values ± Cη at their two ends, with the boundary conditions on electrodes face
0η =
( )FEFE
J J Y= and back ( )BEBE
J J Y= , resulted by the relation (14) and solving in the
oundary conditions concerning to the voltage values on the both electrodes .b E±ε
R J 2
K J
Stable
working
Unstable
working
0 Jcritical J
6. A final observation
The calculus program being for the moment in course of elaboration, we shall permit
only a consideration to explain the experimental result of the electrode polarization in the
situation of a intense working of the Vasilescu Karpen pile, considering the graphic
representation (fig.2) of the thermal energy functions of pile heating and cooling respectively,
given by the equation (17), limiting the two zones of continuous working, stable of physical
point of view and specific of pile reduced charge, with respect of the intense one, when the
developed energy by heating overtakes, by our estimation, its cooling one, resulting by the
normal working.
7. References
[1] M.D.Cazacu. Tehnologii pentru o dezvoltare durabilă (Technologies for a sustainable
development). Al II-lea Congres al Academiei Oamenilor de Ştiinţă din România “Dezvoltarea în
pragul mileniului al III-lea”, 27-29 septembrie 1998, Bucureşti, Ed.EUROPA NOVA, 1999, 533-539.
[2] N. Vasilescu-Karpen. Piles à oxygène empruntant leur énergie au milieu ambiant. Acad. de
Sci., Paris, 1944, T. 218, p.228.
[3] N. Vasilescu-Karpen. Piles à hidrogène empruntant leur énergie au milieu ambiant. Acad. de
Sci., Paris, 1948, T. 226, p.1273.
[4] N. Vasilescu-Karpen. La variation de la f.é.m. de la pile à gas avec la pression. F.é.m. de la
pile de concentration à oxygène et la thermodynamique. C.R. Acad.de Sci., Paris, 1949, T. 228, p.231.
[5] N. Vasilescu-Karpen. Pila electrică de concentraţie cu oxigen şi termodinamica (The electric
concentration pile with oxygen and the thermodynamics). Bul.Şt. Acad. RPR, Secţ.de Şt.Mat.şi Fiz.,
T. VII, nr. 1, Ian.-Febr.-Martie, 1955, p. 161.
[6] N. Vasilescu-Karpen. Afinitatea electronilor pentru oxigenul dizolvat în apă şi termodinamica
(Electron affinity for the dissolute oxygen in water and the thermodynamics). Bul.Şt.Acad. RPR,
Secţ.de Şt.Mat.şi Fiz., T. VII, nr. 2, April-Mai-Iunie, 1955, p. 491.
[7] N. Vasilescu-Karpen. Fenomene şi teorii noi în electrochimie şi chimie fizică (New
phenomena and theories in electrochemistry and physical chemistry). Ed.Academiei RPR, 1957
[8] M.D.Cazacu, M.Dogaru, A.Stăvărache. Vasilescu-Karpen pile as a proceeding to diminish the
Earth warming. Conf.Naţională pt.Dezvoltare Durabilă, 13 iunie 2003, Univ.Politehnica, Bucureşti,
273-280.
[9] A.Timotin, V.Hortopan. Lecţii de bazele electrotehnicei (Lessons of electrotechnics basis).
Vol. I, Editura Didactică şi Pedagogică, Bucureşti, 1964.
[10] M.D.Cazacu, M.D.Staicovici. Numerical solution stability of the Marangoni effect. The 5th
Internat.Conf. OPROTEH November 2002, University of Bacău, Modelling and Optimization in the
Machines Building Field – MOCM – 8, Romanian Academy 2002, 161-166.
[11] D.Dumitrescu, M.D.Cazacu. Theoretische und experimentelle Betrachtungen über die
Strömung zäher Flüssigkeiten um eine Platte bei kleinen und mittleren Reynoldszahlen. Zeitschr. für
Angew. Math. und Mechanik, 1, 50, 1970, 257- 280.

More Related Content

What's hot

6.7 airy
6.7 airy6.7 airy
6.7 airy
Lex2020rio
 
Solution of Fractional Order Stokes´ First Equation
Solution of Fractional Order Stokes´ First EquationSolution of Fractional Order Stokes´ First Equation
Solution of Fractional Order Stokes´ First Equation
IJRES Journal
 
system of algebraic equation by Iteration method
system of algebraic equation by Iteration methodsystem of algebraic equation by Iteration method
system of algebraic equation by Iteration method
Akhtar Kamal
 
Thermal Stress in a Half-Space with Mixed Boundary Conditions due to Time Dep...
Thermal Stress in a Half-Space with Mixed Boundary Conditions due to Time Dep...Thermal Stress in a Half-Space with Mixed Boundary Conditions due to Time Dep...
Thermal Stress in a Half-Space with Mixed Boundary Conditions due to Time Dep...
iosrjce
 
Numerical simulation on laminar convection flow and heat transfer over a non ...
Numerical simulation on laminar convection flow and heat transfer over a non ...Numerical simulation on laminar convection flow and heat transfer over a non ...
Numerical simulation on laminar convection flow and heat transfer over a non ...
eSAT Journals
 
Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...
Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...
Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...
Crimsonpublishers-Mechanicalengineering
 
Dowling pg641-648
Dowling   pg641-648Dowling   pg641-648
Dowling pg641-648
Chai Wei
 
Heat Conduction Simulation with FDM
Heat Conduction Simulation with FDMHeat Conduction Simulation with FDM
Heat Conduction Simulation with FDM
Xueer Zhang
 
NUMERICAL METHODS -Iterative methods(indirect method)
NUMERICAL METHODS -Iterative methods(indirect method)NUMERICAL METHODS -Iterative methods(indirect method)
NUMERICAL METHODS -Iterative methods(indirect method)
krishnapriya R
 
Exact Bound State Solution of Qdeformed Woods-Saxon Plus Modified Coulomb Pot...
Exact Bound State Solution of Qdeformed Woods-Saxon Plus Modified Coulomb Pot...Exact Bound State Solution of Qdeformed Woods-Saxon Plus Modified Coulomb Pot...
Exact Bound State Solution of Qdeformed Woods-Saxon Plus Modified Coulomb Pot...
ijrap
 
A Coupled Thermoelastic Problem of A Half – Space Due To Thermal Shock on the...
A Coupled Thermoelastic Problem of A Half – Space Due To Thermal Shock on the...A Coupled Thermoelastic Problem of A Half – Space Due To Thermal Shock on the...
A Coupled Thermoelastic Problem of A Half – Space Due To Thermal Shock on the...
iosrjce
 
Jh3616111616
Jh3616111616Jh3616111616
Jh3616111616
IJERA Editor
 
Foundation of geometrical optics
Foundation of geometrical opticsFoundation of geometrical optics
Foundation of geometrical optics
Solo Hermelin
 
Chap6 laplaces and-poissons-equations
Chap6 laplaces and-poissons-equationsChap6 laplaces and-poissons-equations
Chap6 laplaces and-poissons-equationsUmesh Kumar
 
Poisson’s and Laplace’s Equation
Poisson’s and Laplace’s EquationPoisson’s and Laplace’s Equation
Poisson’s and Laplace’s Equation
Abhishek Choksi
 

What's hot (19)

6.7 airy
6.7 airy6.7 airy
6.7 airy
 
J0736367
J0736367J0736367
J0736367
 
Solution of Fractional Order Stokes´ First Equation
Solution of Fractional Order Stokes´ First EquationSolution of Fractional Order Stokes´ First Equation
Solution of Fractional Order Stokes´ First Equation
 
system of algebraic equation by Iteration method
system of algebraic equation by Iteration methodsystem of algebraic equation by Iteration method
system of algebraic equation by Iteration method
 
Thermal Stress in a Half-Space with Mixed Boundary Conditions due to Time Dep...
Thermal Stress in a Half-Space with Mixed Boundary Conditions due to Time Dep...Thermal Stress in a Half-Space with Mixed Boundary Conditions due to Time Dep...
Thermal Stress in a Half-Space with Mixed Boundary Conditions due to Time Dep...
 
1309.0130v1
1309.0130v11309.0130v1
1309.0130v1
 
Numerical simulation on laminar convection flow and heat transfer over a non ...
Numerical simulation on laminar convection flow and heat transfer over a non ...Numerical simulation on laminar convection flow and heat transfer over a non ...
Numerical simulation on laminar convection flow and heat transfer over a non ...
 
Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...
Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...
Anomalous Diffusion Through Homopolar Membrane: One-Dimensional Model_ Crimso...
 
Dowling pg641-648
Dowling   pg641-648Dowling   pg641-648
Dowling pg641-648
 
Heat Conduction Simulation with FDM
Heat Conduction Simulation with FDMHeat Conduction Simulation with FDM
Heat Conduction Simulation with FDM
 
NUMERICAL METHODS -Iterative methods(indirect method)
NUMERICAL METHODS -Iterative methods(indirect method)NUMERICAL METHODS -Iterative methods(indirect method)
NUMERICAL METHODS -Iterative methods(indirect method)
 
Exact Bound State Solution of Qdeformed Woods-Saxon Plus Modified Coulomb Pot...
Exact Bound State Solution of Qdeformed Woods-Saxon Plus Modified Coulomb Pot...Exact Bound State Solution of Qdeformed Woods-Saxon Plus Modified Coulomb Pot...
Exact Bound State Solution of Qdeformed Woods-Saxon Plus Modified Coulomb Pot...
 
A Coupled Thermoelastic Problem of A Half – Space Due To Thermal Shock on the...
A Coupled Thermoelastic Problem of A Half – Space Due To Thermal Shock on the...A Coupled Thermoelastic Problem of A Half – Space Due To Thermal Shock on the...
A Coupled Thermoelastic Problem of A Half – Space Due To Thermal Shock on the...
 
Jh3616111616
Jh3616111616Jh3616111616
Jh3616111616
 
D0752129
D0752129D0752129
D0752129
 
Foundation of geometrical optics
Foundation of geometrical opticsFoundation of geometrical optics
Foundation of geometrical optics
 
Chap6 laplaces and-poissons-equations
Chap6 laplaces and-poissons-equationsChap6 laplaces and-poissons-equations
Chap6 laplaces and-poissons-equations
 
Poisson’s and Laplace’s Equation
Poisson’s and Laplace’s EquationPoisson’s and Laplace’s Equation
Poisson’s and Laplace’s Equation
 
Bab3
Bab3Bab3
Bab3
 

Similar to Karpen generator

Lecture 06 maxwell eqn
Lecture 06   maxwell eqnLecture 06   maxwell eqn
Lecture 06 maxwell eqn
Marfizal Marfizal
 
Teoría Cuántica de la Radiacion
Teoría Cuántica de la RadiacionTeoría Cuántica de la Radiacion
Teoría Cuántica de la Radiacion
Alejandro Correa
 
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3N. Bilic - "Hamiltonian Method in the Braneworld" 1/3
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3
SEENET-MTP
 
Modeling and-simulating-of-gas-turbine-cooled-blades
Modeling and-simulating-of-gas-turbine-cooled-bladesModeling and-simulating-of-gas-turbine-cooled-blades
Modeling and-simulating-of-gas-turbine-cooled-bladesCemal Ardil
 
maths convergence.pdf
maths convergence.pdfmaths convergence.pdf
maths convergence.pdf
Er. Rahul Jarariya
 
Microscopic Mechanisms of Superconducting Flux Quantum and Superconducting an...
Microscopic Mechanisms of Superconducting Flux Quantum and Superconducting an...Microscopic Mechanisms of Superconducting Flux Quantum and Superconducting an...
Microscopic Mechanisms of Superconducting Flux Quantum and Superconducting an...
Qiang LI
 
Numerical modeling-of-gas-turbine-engines
Numerical modeling-of-gas-turbine-enginesNumerical modeling-of-gas-turbine-engines
Numerical modeling-of-gas-turbine-enginesCemal Ardil
 
Kittel c. introduction to solid state physics 8 th edition - solution manual
Kittel c.  introduction to solid state physics 8 th edition - solution manualKittel c.  introduction to solid state physics 8 th edition - solution manual
Kittel c. introduction to solid state physics 8 th edition - solution manual
amnahnura
 
LECTURE_NOTES_ON_HIGH_VOLTAGE_ENGINEERIN.pdf
LECTURE_NOTES_ON_HIGH_VOLTAGE_ENGINEERIN.pdfLECTURE_NOTES_ON_HIGH_VOLTAGE_ENGINEERIN.pdf
LECTURE_NOTES_ON_HIGH_VOLTAGE_ENGINEERIN.pdf
anuj298979
 
Statistics Homework Help
Statistics Homework HelpStatistics Homework Help
Statistics Homework Help
Statistics Homework Helper
 
Multiple Linear Regression Homework Help
Multiple Linear Regression Homework HelpMultiple Linear Regression Homework Help
Multiple Linear Regression Homework Help
Statistics Homework Helper
 
Ijciet 10 01_093
Ijciet 10 01_093Ijciet 10 01_093
Ijciet 10 01_093
IAEME Publication
 
Damped system under Harmonic motion
Damped system under Harmonic motionDamped system under Harmonic motion
Damped system under Harmonic motion
Dhaval Chauhan
 
APPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONS
APPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONSAPPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONS
APPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONS
AYESHA JAVED
 
Andreev levels
Andreev levelsAndreev levels
Andreev levels
Manuel Morgado
 
Bound State Solution of the Klein–Gordon Equation for the Modified Screened C...
Bound State Solution of the Klein–Gordon Equation for the Modified Screened C...Bound State Solution of the Klein–Gordon Equation for the Modified Screened C...
Bound State Solution of the Klein–Gordon Equation for the Modified Screened C...
BRNSS Publication Hub
 
High gain metal only reflectarray antenna composed of multiple rectangular gr...
High gain metal only reflectarray antenna composed of multiple rectangular gr...High gain metal only reflectarray antenna composed of multiple rectangular gr...
High gain metal only reflectarray antenna composed of multiple rectangular gr...Yong Heui Cho
 

Similar to Karpen generator (20)

Lecture 06 maxwell eqn
Lecture 06   maxwell eqnLecture 06   maxwell eqn
Lecture 06 maxwell eqn
 
Teoría Cuántica de la Radiacion
Teoría Cuántica de la RadiacionTeoría Cuántica de la Radiacion
Teoría Cuántica de la Radiacion
 
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3N. Bilic - "Hamiltonian Method in the Braneworld" 1/3
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3
 
Modeling and-simulating-of-gas-turbine-cooled-blades
Modeling and-simulating-of-gas-turbine-cooled-bladesModeling and-simulating-of-gas-turbine-cooled-blades
Modeling and-simulating-of-gas-turbine-cooled-blades
 
maths convergence.pdf
maths convergence.pdfmaths convergence.pdf
maths convergence.pdf
 
Microscopic Mechanisms of Superconducting Flux Quantum and Superconducting an...
Microscopic Mechanisms of Superconducting Flux Quantum and Superconducting an...Microscopic Mechanisms of Superconducting Flux Quantum and Superconducting an...
Microscopic Mechanisms of Superconducting Flux Quantum and Superconducting an...
 
Numerical modeling-of-gas-turbine-engines
Numerical modeling-of-gas-turbine-enginesNumerical modeling-of-gas-turbine-engines
Numerical modeling-of-gas-turbine-engines
 
Kittel c. introduction to solid state physics 8 th edition - solution manual
Kittel c.  introduction to solid state physics 8 th edition - solution manualKittel c.  introduction to solid state physics 8 th edition - solution manual
Kittel c. introduction to solid state physics 8 th edition - solution manual
 
04_AJMS_157_18_RA.pdf
04_AJMS_157_18_RA.pdf04_AJMS_157_18_RA.pdf
04_AJMS_157_18_RA.pdf
 
04_AJMS_157_18_RA.pdf
04_AJMS_157_18_RA.pdf04_AJMS_157_18_RA.pdf
04_AJMS_157_18_RA.pdf
 
Problem and solution i ph o 12
Problem and solution i ph o 12Problem and solution i ph o 12
Problem and solution i ph o 12
 
LECTURE_NOTES_ON_HIGH_VOLTAGE_ENGINEERIN.pdf
LECTURE_NOTES_ON_HIGH_VOLTAGE_ENGINEERIN.pdfLECTURE_NOTES_ON_HIGH_VOLTAGE_ENGINEERIN.pdf
LECTURE_NOTES_ON_HIGH_VOLTAGE_ENGINEERIN.pdf
 
Statistics Homework Help
Statistics Homework HelpStatistics Homework Help
Statistics Homework Help
 
Multiple Linear Regression Homework Help
Multiple Linear Regression Homework HelpMultiple Linear Regression Homework Help
Multiple Linear Regression Homework Help
 
Ijciet 10 01_093
Ijciet 10 01_093Ijciet 10 01_093
Ijciet 10 01_093
 
Damped system under Harmonic motion
Damped system under Harmonic motionDamped system under Harmonic motion
Damped system under Harmonic motion
 
APPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONS
APPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONSAPPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONS
APPLICATION OF HIGHER ORDER DIFFERENTIAL EQUATIONS
 
Andreev levels
Andreev levelsAndreev levels
Andreev levels
 
Bound State Solution of the Klein–Gordon Equation for the Modified Screened C...
Bound State Solution of the Klein–Gordon Equation for the Modified Screened C...Bound State Solution of the Klein–Gordon Equation for the Modified Screened C...
Bound State Solution of the Klein–Gordon Equation for the Modified Screened C...
 
High gain metal only reflectarray antenna composed of multiple rectangular gr...
High gain metal only reflectarray antenna composed of multiple rectangular gr...High gain metal only reflectarray antenna composed of multiple rectangular gr...
High gain metal only reflectarray antenna composed of multiple rectangular gr...
 

Recently uploaded

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Product School
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Product School
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
DianaGray10
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
RTTS
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
OnBoard
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
g2nightmarescribd
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
 

Recently uploaded (20)

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 

Karpen generator

  • 1. FOR A CONTINUOUS WORKING OF THE VASILESCU-KARPEN’S CONCENTRATION PILE Mihai DOGARU – Society for Promotion of Renewable, Inexhaustible and New Energies – SPERIN, mihdogaru@yahoo.com Mircea Dimitrie CAZACU – University POLITEHNICA, Bucharest, cazacu@hydrop.pub.ro 1. The imperious actuality of Vasilescu Karpen concentration pile. The global warming in the two last centuries, due to the low efficiencies of the thermodynamical cycles, as well as the gas emission with green-house effect, followed in the last time of the important climate changes, manifested by strong storms and torrential rains, caused by the water vapor excess, resulted by burning, after 1850 years, also of the hydrocarbons too; will lead in the same time, in our opinion, at the situation that the Earth will lose gradually its seasons [1]. To avoid this effect, besides the arising of afforestated surfaces, on the first place of the technical proceedings the concentration pile of the famous Romanian scientist Nicolae Vasilescu Karpen [2]÷[7] situate as the only proceeding known by us, which will produce the electric energy by diminishing of electrolyte and consequently environment temperature. 2. Historical antecedents of the electrochemistry Although the founder of the interdisciplinary science of the Electro-magneto-dynamics in 1831 and of the Electrochemistry in 1833 is the famous physicist and chemist Michael Faraday (1791-1867), galvanizing applications are known yet from the asiro-babilonian epoch, when the statues are gilded means by an electric pile. In an previous paper [8] we tried to obtain the continuous working of the K pile, applying a magnetic field created by permanent magnets, in the aim to intensify the connective heat transfer between the electrolyte and the environment through the pile walls. In this work we shall present a mathematical model of the K pile working in absence of magnetic field, but considering the thermal-siphon effect of the electrolyte density variation. 3. Two-dimensional mathematical model of the K pile and equation transformation 3.1. Electric field equations [9] with the component JZ = 0 according with figure 1, are: - electric charge conservation equation, unstable in the iterative numerical calculus, which can be identically verified by the introduction of the electric current line function (X,Y) = const. and which, with respect of the potential linesI ( ),X Y∈ are in the relations: X Y div 0 J J J X Y ∂ ∂ = + ≡ ∂ ∂ ur → X YJ X ′ ′= =∈I and Y XJ ′ ′Y= − =∈I , (1) which permits the introduction of complex variable function ( ) ( ) ( ), ,Z X Y i X YΦ =∈ + I , (2) whose real part, representing by the equation (1) verification, the harmonic potential, 2 2 X Y, 0 X Y ′′ ′′∆ ∈=∈ +∈ = , (3) the imaginary part, representing the electric current line function
  • 2. ( )X Y X Y d d d d d 0 , const. X Y X Y X Y J J ′ ′= → = + = → =I I I I , (4) supposing the spectral line orthogonality ( ), const.X Y∈ = and ( ), const.X Y =I - magnetic circuit law in the case of quasistationary regime, Y Y X Y Z X Y Z rot X i j k H H H H H J iJ jJ kJ i j k X X Y Z Z Z X Y H H H ∂ ∂ ∂ ∂∂ ∂ ∂ ⎛ ⎞ = = + + = = − + + −⎜ ⎟ ∂ ∂ ∂ ∂ ∂ ∂ ∂⎝ ⎠ r r r uur ur r r rrr r (5) and which, in the case of made hypothesis, one reduces of the equations: Z Y X 1 YH H B J Y Z Z ∂ ∂ ∂ = − − ⋅ ∂ ∂ µ ∂ , X Z Y 1 XH H B J Z X Z ∂ ∂ ∂ = − ⋅ ∂ ∂ µ ∂ , Y X Z 0 H H J X Y ∂ ∂ = − = ∂ ∂ , (5’) the last of these equations demonstrating the two-dimensional magnetic field dependence on a scalar potential ( , )X Yℵ , in accordance with the equations: ( ) ( )X Y X Y X X, grad ,H X Y i H jH X Y i j H′ ′ ′= + = ℵ = ℵ + ℵ → =ℵ r r r r r and , (5”)YH ′=ℵY - Ohm’s law, where σ is the electric conductivity and ( ),X Y∈ the electric potential ( ) ( )x Y X Ygrad , =J iJ jJ X Y E iE jE= + = ∈ σ = σ + ur urr r r r , → X XJ EX ′=∈ = σ , . (3)Y Y YJ E′=∈ = σ Y T0 C Ψ = 0 c Ψ = 0 + _ g η = 0 X A a 0 T0 T0 = const. JX Fig. 1. Two-dimensional configuration of a K pile, boundary conditions and co-ordinate axes 3.2. The scalar temperature field equation, considering the heat connective transfer due to the K pile cooling in permanent regime, with the constant specific heat and thermal conduction coefficient, is ( ) ( ) ( ) ( ) ( )2 2 2 2 X Y X YX Y ,T c T U T V T T R J J K J X Y′ ′ ′′ ′′ρ + = λ + + + − ⎡ ⎤⎣ ⎦ , (6) - liquid state equation of variable density in accordance with the expression [10] ( ) ( ) ( )0 0 01T T Tρ = ρ −β⋅δ = ρ −ρ β − 0T Twith X,Y T X,Y 0 X,YT′ ′ ′ ′ρ = ρ = −ρ β , (7) where the influence of the relative volume variation δW/W as function of the temperature variation,
  • 3. ( )T 0 0 0 T-T 3 W WW T W W −δ β = δ = = α being the volume dilatation coefficient, three time greater than the linear coefficient ( )T 0 0 0 L LL T T L L −δ α = δ = −T . 3.3. The equation system of the velocity hydrodynamic field, composed by: - motion equations on the two directions, of a liquid with constant viscosity ( ) ( ) ( ) ( )2 2X Y X X Y UU VU T P U U T′ ′ ′ ′′ ′′+ ⋅ρ + = υ + ⋅ρ , (8) ( ) ( ) ( ) ( )2 2X Y Y X Y UV VV T P V V g T⎡′ ′ ′ ′′ ′′+ ⋅ρ + = υ + − ⋅ρ⎣ ⎤ ⎦ , (9) - electrolyte mass conservation equation, unstable in the iterative numerical calculus, is according the estimation from [10] ( ) ( ) ( ) ( ) ( )X Y 0 X YX Y 1 0U V T U T V T T U V′ ′ ′ ′ ′ ′ρ + ρ = −β + + −β − + =⎡ ⎤⎣ ⎦ , (10) but identically verified, introducing the streamline function Ψ (X,Y) = CT. by the relations: ( ) ( ) Y 1 , , U X Y T X Y ′= Ψ ρ⎡ ⎤⎣ ⎦ , ( ) ( ) X 1 , , V X Y T X Y ′= − Ψ ρ⎡ ⎤⎣ ⎦ . (11) By introduction of the thermal-current line function and pressure function elimination in virtue of Schwarz’s relation, of second order mixed derivative commutativity , one obtains a nonlinear with partial differential equation up to 4X,Y Y,XP P′′ ′′= th order for thermal-current line function and up to 2nd order for temperature function. 4. The equation system transformation for the numerical treatment For more generality of the numerical solving, we shall use the dimensionless variables and functions, denoting by: , X Y x y A A = = and m m m 0 0 0 ,, , , , , U V T J j U U U A T J u v Ψ ∈ = = ψ = θ = = ε = ∈ 0 η = I I ,(12) with which the relation (2) becomes in dimensionless form ( ) ( ) (, ,z x y i xϕ = ε + η )y . 4.1. The electric charge conservation equation, replacing the partial differentials with the expressions in finite differences, in the case of a quadratic grid δy = δx = δ, becomes 2 2 x y, 0 x y ′′ ′′∆ ε = ε + ε = , → 1 0 3 2 0 4 2 2 2 2 0 ε − ε + ε ε − ε + ε + = δ δ , (13) Thus, the solving of the algebraic relation (13) makes the calculation of the harmonic electric potential 4 0 i i=1 1 4 ε = ε∑ , (13’) associated to the equation with partial differentials (13), representing the very known formula of the mean value. The numerical solution stability is assured always by the error propagation relation in any both calculus directions in the considered domain [11] x,y n+1 n 1 4 ± δε = δε . (14) 4.2. Temperature field equation, utilizing the (11) relations, becomes in dimensionless form ( ) ( )2 2 2 2 2 y x x y x y xx y 1 o Ka Pé j j j j′ ′ ′ ′ ′′ ′′ψ θ −ψ θ = θ + θ + ℑ + − + 2 y , (15)
  • 4. in which one denoted the similitude numbers Péclet, Joule and Karpen of the specific thermal- electric considered phenomenon, by the expressions: m 0 0 Pé= U A aT ρ , 2 0 m o= R J A cU ℑ , 0 m Ka = K A J cU . (16) Replacing in (15) the expressions of partial differentials, deduced by the finite difference method and expliciting the θ0 value from the linear part, one obtain the associate algebraic relation ( )( ) ( )( ) 2 24 2 0 i 1 3 2 4 2 4 1 3 0 i=1 1 Pé Pé o PéKa 4 16 4 4 j j ℑ δ δ θ = θ + ψ − ψ θ − θ − ψ − ψ θ − θ + −⎡ ⎤⎣ ⎦∑ 0 , (17) from which we can deduce the error propagation relation, for instance on the calculus direction ± x ( ) ( ) 2 2 2 4 2 4x 2 n+1 n n n+1 n+1 Pé - Pé -1 Pé o 4 16 16 4 4 j± ψ ψ θ θ⎛ ⎞ ℑ δ ℑ δ δθ = ± δθ δψ + δ − δ⎜ ⎟ ⎝ ⎠ m Pé o j , (18) which assure numerical solution stability in the conditions: ( )2 4Pé -1 1 4 16 ψ ψ⎛ ⎞ ±⎜ ⎟ ⎝ ⎠ p , ( )2 4Pé - 16θ θ p , and . (19) 2 Pé o 4ℑ δ p 2 Pé o 4ℑ δ p 5. The specific boundary conditions of the studied problem in the case of steady state: 5.1. For the hydrodynamic field, ΨC = 0 on the whole vessel outline containing the electrolyte, inclusive at its free surface and on the electrode axis, with unknown values ± ΨE on the two electrodes, which will result follows the iterative numerical calculus and of the electric current resulted by closing of the circuit on the exterior charge resistor. 5.2. For the thermal field, TC = T0 = the environment temperature, on the whole vessel outline supposed as thermal perfect conductor, inclusive at the electrolyte free surface, with unknown but constant values TE = const. on the two electrodes, good thermal conductors and depending of the pile working regime intensity, 5.3. For the electric field, on the axis perpendicularly on the two electrodes A E⊥ and with unknown values ± Cη at their two ends, with the boundary conditions on electrodes face 0η = ( )FEFE J J Y= and back ( )BEBE J J Y= , resulted by the relation (14) and solving in the oundary conditions concerning to the voltage values on the both electrodes .b E±ε R J 2 K J Stable working Unstable working 0 Jcritical J
  • 5. 6. A final observation The calculus program being for the moment in course of elaboration, we shall permit only a consideration to explain the experimental result of the electrode polarization in the situation of a intense working of the Vasilescu Karpen pile, considering the graphic representation (fig.2) of the thermal energy functions of pile heating and cooling respectively, given by the equation (17), limiting the two zones of continuous working, stable of physical point of view and specific of pile reduced charge, with respect of the intense one, when the developed energy by heating overtakes, by our estimation, its cooling one, resulting by the normal working. 7. References [1] M.D.Cazacu. Tehnologii pentru o dezvoltare durabilă (Technologies for a sustainable development). Al II-lea Congres al Academiei Oamenilor de Ştiinţă din România “Dezvoltarea în pragul mileniului al III-lea”, 27-29 septembrie 1998, Bucureşti, Ed.EUROPA NOVA, 1999, 533-539. [2] N. Vasilescu-Karpen. Piles à oxygène empruntant leur énergie au milieu ambiant. Acad. de Sci., Paris, 1944, T. 218, p.228. [3] N. Vasilescu-Karpen. Piles à hidrogène empruntant leur énergie au milieu ambiant. Acad. de Sci., Paris, 1948, T. 226, p.1273. [4] N. Vasilescu-Karpen. La variation de la f.é.m. de la pile à gas avec la pression. F.é.m. de la pile de concentration à oxygène et la thermodynamique. C.R. Acad.de Sci., Paris, 1949, T. 228, p.231. [5] N. Vasilescu-Karpen. Pila electrică de concentraţie cu oxigen şi termodinamica (The electric concentration pile with oxygen and the thermodynamics). Bul.Şt. Acad. RPR, Secţ.de Şt.Mat.şi Fiz., T. VII, nr. 1, Ian.-Febr.-Martie, 1955, p. 161. [6] N. Vasilescu-Karpen. Afinitatea electronilor pentru oxigenul dizolvat în apă şi termodinamica (Electron affinity for the dissolute oxygen in water and the thermodynamics). Bul.Şt.Acad. RPR, Secţ.de Şt.Mat.şi Fiz., T. VII, nr. 2, April-Mai-Iunie, 1955, p. 491. [7] N. Vasilescu-Karpen. Fenomene şi teorii noi în electrochimie şi chimie fizică (New phenomena and theories in electrochemistry and physical chemistry). Ed.Academiei RPR, 1957 [8] M.D.Cazacu, M.Dogaru, A.Stăvărache. Vasilescu-Karpen pile as a proceeding to diminish the Earth warming. Conf.Naţională pt.Dezvoltare Durabilă, 13 iunie 2003, Univ.Politehnica, Bucureşti, 273-280. [9] A.Timotin, V.Hortopan. Lecţii de bazele electrotehnicei (Lessons of electrotechnics basis). Vol. I, Editura Didactică şi Pedagogică, Bucureşti, 1964. [10] M.D.Cazacu, M.D.Staicovici. Numerical solution stability of the Marangoni effect. The 5th Internat.Conf. OPROTEH November 2002, University of Bacău, Modelling and Optimization in the Machines Building Field – MOCM – 8, Romanian Academy 2002, 161-166. [11] D.Dumitrescu, M.D.Cazacu. Theoretische und experimentelle Betrachtungen über die Strömung zäher Flüssigkeiten um eine Platte bei kleinen und mittleren Reynoldszahlen. Zeitschr. für Angew. Math. und Mechanik, 1, 50, 1970, 257- 280.