Unsteady Free Convection MHD Flow of an Incompressible Electrically Conductin...IJERA Editor
In this paper we investigate unsteady free convection MHD flow of an incompressible viscous electrically
conducting fluid through porous medium under the influence of uniform transverse magnetic field between two
heated vertical plate with one plate is adiabatic. The governing equations of velocity and temperature fields with
appropriate boundary conditions are solved by the Integral Transform Technique. The obtained results of
velocity and temperature distributions are shown graphically and are discussed on the basis of it. The effects of
Hartmann number, Darcy parameter, Prandtl number and the decay factor, and effects of adiabatic plate on the
velocity and temperature fields are discussed.
I am Joshua M. I am a Statistical Physics Assignment Expert at statisticsassignmenthelp.com. I hold a Masters in Statistics from, Michigan State University, UK
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In this paper we study the effect of temperature, magnetic field, and exchange coupling on the thermal entanglement in a spin chain which consist of two qubits and one qutrit. We use negativity as a measure of entanglement in our study. We apply magnetic field, uniform and nonuniform field, on it. The results show that the entanglement decreases with increase in temperature. Also, we have found that under a magnetic field, either uniform or nonuniform, in constant temperature, the entanglement decreases. We have found that increasing exchange coupling of any two particles decreases the entanglement of the other two particles. Finally, we have compared our system with a two-particle system and found that in presence of a magnetic field the increase in number of particles leads to the decrease in the entanglement.
All of material inside is un-licence, kindly use it for educational only but please do not to commercialize it.
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2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Unsteady Free Convection MHD Flow of an Incompressible Electrically Conductin...IJERA Editor
In this paper we investigate unsteady free convection MHD flow of an incompressible viscous electrically
conducting fluid through porous medium under the influence of uniform transverse magnetic field between two
heated vertical plate with one plate is adiabatic. The governing equations of velocity and temperature fields with
appropriate boundary conditions are solved by the Integral Transform Technique. The obtained results of
velocity and temperature distributions are shown graphically and are discussed on the basis of it. The effects of
Hartmann number, Darcy parameter, Prandtl number and the decay factor, and effects of adiabatic plate on the
velocity and temperature fields are discussed.
I am Joshua M. I am a Statistical Physics Assignment Expert at statisticsassignmenthelp.com. I hold a Masters in Statistics from, Michigan State University, UK
I have been helping students with their homework for the past 5 years. I solve assignments related to Statistics.
Visit statisticsassignmenthelp.com or email info@statisticsassignmenthelp.com.
You can also call on +1 678 648 4277 for any assistance with Statistical Physics Assignments .
In this paper we study the effect of temperature, magnetic field, and exchange coupling on the thermal entanglement in a spin chain which consist of two qubits and one qutrit. We use negativity as a measure of entanglement in our study. We apply magnetic field, uniform and nonuniform field, on it. The results show that the entanglement decreases with increase in temperature. Also, we have found that under a magnetic field, either uniform or nonuniform, in constant temperature, the entanglement decreases. We have found that increasing exchange coupling of any two particles decreases the entanglement of the other two particles. Finally, we have compared our system with a two-particle system and found that in presence of a magnetic field the increase in number of particles leads to the decrease in the entanglement.
All of material inside is un-licence, kindly use it for educational only but please do not to commercialize it.
Based on 'ilman nafi'an, hopefully this file beneficially for you.
Thank you.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
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Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2. Transport processes (flow) in which some physical quantity
such as mass or energy or momentum or electrical charge is
transported from one region of a system to another
In all cases the flow(the amount of physical quantity
transported in unit time through a unit area perpendicular to
the direction of flow is proportional to the negative gradient of
some other physical property such as T/P/I/V
Jz = L( -∂Y/∂z)
Jz -- flow, the amount of the quantity
transported/m2/s,
L -- proportionality constant,
(- ∂Y/ ∂ z) -- negative gradient of Y in the direction of flow.
Y can be T/P/I/V
Heat flow Jz = - KT ∂T/∂z (Fourier`s law)…………1
KT - Coefficient of thermal conductivity.
3. General equation for flow:
j = n.<c>.dt.q
j flow
n No. of molecules/m3
q Amount of physical quantity carried.
<c> Average velocity
If only a fraction of molecules move in the direction then, the
fraction() should be multiplied along
j = α.N.<c>dt.q………2
4. Derivation of the coefficient of thermal
conductivity
Consider three large planes parallel
to the xy-plane at a distance z apart from each other. The
metal planes A and C are at temperature T1 and T2. C is
placed above A. B is placed in between the other two
plates. A steady state is applied and a downward low of
heat at constant rate is observed. The molecules moving
downwards carry more energy than those moving upward.
5. We imagine a large number of
horizontal layers in the gas,
each successive layer being at
slightly higher temperature
than the one below it. ∂T/ ∂z is
the temperature gradient.
∂T = dT = T2 – T1
∂z dZ z - 0
if the lower plate lies at the position z = 0, the upper one
at z = Z. The gradient, ∂T/ ∂z , is
T = T1 + (∂T/ ∂z)z …….3
C
B
A
6. If the gas is monatomic with an average thermal energy <ε> =
3/2kT, then the average energy of the molecules at the height z is
<ε> = 3kT 3k [T1 + (∂T/ ∂z) z] (using 3)
2 2
on the average, the molecules have traveled a distance λ since
their last collision. If the surface of interest lies at a height z, the
molecules going down made their last collision at a height z+λ,
while those going up made their last collision at a height z–λ.
ε↓ = 1/6(n<c>)z + λ. 3k [T1 + (∂T/ ∂z).(z+λ)]
2
ε↑ = 1/6(n<c>)z - λ. 3k [T1 + (∂T/ ∂z).(z–λ)]
2
The net flow = ε↓ -- ε↑
if the gas is not to have net motion through the surface we require
that the number of molecules going up in unit time must equal the
number going down, so that
7. 1/6.(n.<c>)z + λ= 1/6.{n.<c>} z - λ
Jε = 1/6.(n<c>).3k.(∂T/ ∂z).(z–λ– z-λ)] -1.n.<c>.k.λ.(∂T/ ∂z)
2 2
As the molecules are moving in all possible
directions due to thermal agitation, it may be supposed that 1/3 of
the molecules are moving in each of the three directions parallel to
the axes, so that on average 1/6 of the molecule move parallel to
any one axis in one particular direction.
Comparing with Fourier law and using Cv=3/2.k.NA
KT = 1 . n .Cv.<c>.λ
…………4
3 NA
we get the <c> from Maxwell distribution of velocity,
<c> = √8kT
πm
8. The mean free path of the molecule
by definition is the average distance traveled
between collisions. In one second, a molecule
travels ( c) x 1s meters and makes Z collisions.
2. Molecular collisions and mean
free path.
λ=<c>…………………5
Z1
To calculate the Z1(no. of collisions), consider a cylinder.
9. Consider a cylinder of radius (σ and
height <c>. The number of molecules
in the cylinder is πσ 2<c>n; this is the
number of collisions made by one
molecule in one second The formula
Zn = πσ 2<c>n must be multiplied by
the factor √2 to account for the fact
that it is the average
velocity along the line of
centers of two molecules
that matters and not the
average velocity of a
molecule.
10. Consider two molecules that have their velocity vectors
in the orientations. For molecules moving in the same
direction with the same velocity, the relative velocity of
approach is zero. In the second case, where they
approach head-on, the relative velocity of approach is
2(c). If they approach at 90°, the relative velocity of
approach is the sum of the velocity components along
the line joining the centers; this is ½.√2<c>+½.√2<c> =
√2<c>
Zn = √2.σ2.π<c>.n……………6
11. From 5 and 6,
λ = 1 ................................7
√2.σ2.π.n
The mean free path depends on 1/n and is proportional to
l/p by the gas law 1/n = RT/Na.P. The lower the pressure,
the fewer collisions in unit time and the longer will be the
mean free path. Since there are n molecules/m3 and each
makes Z1 collisions per second, the total number of
collisions per cubic meter in one second is
Z11 = ½.Z1.n = ½.√2.σ2.π<c>.n2
The factor ½ is introduced because a simple multiplication
of Z1 by n would count every collision twice.
12. the number of collisions in one cubic meter per second
between unlike molecules in a mixture is
Z12 = πσ2
12.√8 KT T.n1.n2
√πμ
where n1 and n2 are the numbers of molecules per cubic
meter of kind 1 and kind 2, σ12is the average of the
diameters of the two kinds of molecules, and μ
is the reduced mass, 1/μ = 1/m1 + 1/m2 . These values
for collision numbers will be useful later in the
calculation of the rates of chemical reactions. A chemical
reaction between two molecules can occur only when
the molecules collide.
13. Final expression for thermal
conductivity
Using 7 in 4,
KT = <c>.Cv
3√2NAπσ2
1. The thermal conductivity is independent of the
pressure.
i. because, KT α n; KT α λ
ii. however, λ α 1/n
so that the product n.λ is a constant and
independent of pressure
14. If CV is independent of temperature, then everything
on the RHS is constant except <C>, since <c> α T½
Thus, KT α T½
We have assumed that the pressure is
high so that A is much smaller than the distance
separating the two plates.
At very low pressures where λ is much
larger than the distance between the plates, the
molecule bounces back and forth between the plates
and only barely collides with another gas molecule.
In this case the mean free path does not enter the
calculation, and the value of KT depends on the
15. the separation of the plates. At these low pressures the
thermal conductivity is proportional to the pressure, since it
must be proportional to n and λ does not appear in the
formula to compensate for the pressure dependence of n.
16. Applications:
Insulation materials:
The thermal conductivity of gases is an
important factor in the design of insulation materials. Gases with
low thermal conductivity, such as argon or krypton, are often
used to fill the gaps between panes in double or triple-glazed
windows.
Nuclear Reactors: In nuclear power plants, thermal conductivity
plays a role in reactor coolant systems and in the design of fuel
rods. It helps manage heat transfer and ensure reactor safety.
Heat Transfer in HVAC Systems: The thermal conductivity of
gases is critical in designing heating, ventilation, and air
conditioning (HVAC) systems. It helps engineers determine the
appropriate materials and insulation needed to efficiently transfer
or contain heat in these systems.
17. Thermal modeling and simulation:
In various engineering fields, thermal
conductivity data for gases is used in computer simulation
programs to model and predict heat transfer phenomena.
These simulations aid in the design of systems that require
accurate temperature control, such as electronics cooling,
aerospace applications, and energy systems.
Metrology and standards:
It is essential for establishing
metrological standards, ensuring the accuracy and traceability
of testing and measurement equipment. These standards are
crucial for industries that rely on precise thermal
measurements, such as scientific research, quality control,
and process optimization.
18. Reference
• GILBERT W. CASTELLAN 1983, Physical Chemistry 3rd edition.
• PETER ATKINS . JULIO DE PAULA, 2006, Atkins`s Physical
Chemistry 8th edition.
• PURI . SHARMA . PATHANIA, 2019, Principles of Physical
Chemistry 48th edition.
• ‘High Temperature Thermal Conductivity of Gases’ – American
Chemical Society.
ALBERT J. ROTHMAN1 AND LEROY A. BROMLEY Radiation
Laboratory and Division of Chemical Engineering, University of
California, Berkeley, Calif.
• ‘Analysis of gas thermal conductivity at low pressures using a
mathematical-physical model’ - Journal of Physics:
Conference Series
P ŠABAKA 11, Department of Electrical and Electronic
Technology, Brno University of Technology, Technická 10, 616 00
Brno, Czech Republic