EST 130, Transistor Biasing and Amplification.CKSunith1
The attached narrated power point presentation explains the need for biasing in transistor amplifiers and the different biasing arrangements used in transistor circuits. The material will be useful for KTU first year B Tech students who prepare for the subject EST 130, Part B, Basic Electronics Engineering.
EST 130, Transistor Biasing and Amplification.CKSunith1
The attached narrated power point presentation explains the need for biasing in transistor amplifiers and the different biasing arrangements used in transistor circuits. The material will be useful for KTU first year B Tech students who prepare for the subject EST 130, Part B, Basic Electronics Engineering.
This presentation covered most of topics related to the superconductor like properties of superconductors, the meissner effect, type 1 and type 2 superconductors their properties and diagram difference between type 1 and type 2 superconductors, Penetration depth,Josephson effect and it's applications, BCS theory, cooper pairs, flux quantization, Effect of current etc...
FIELD EFFECT TRANSISTERS (FET)
Types of Field Effect Transistors
i) Junction field effect transistor (JFET)
(ii) Metal oxide semiconductor field effect transistor (MOSFET)
[Electricity and Magnetism] ElectrodynamicsManmohan Dash
We discussed extensively the electromagnetism course for an engineering 1st year class. This is also useful for ‘hons’ and ‘pass’ Physics students.
This was a course I delivered to engineering first years, around 9th November 2009. I added all the diagrams and many explanations only now; 21-23 Aug 2015.
Next; Lectures on ‘electromagnetic waves’ and ‘Oscillations and Waves’. You can write me at g6pontiac@gmail.com or visit my website at http://mdashf.org
This presentation covered most of topics related to the superconductor like properties of superconductors, the meissner effect, type 1 and type 2 superconductors their properties and diagram difference between type 1 and type 2 superconductors, Penetration depth,Josephson effect and it's applications, BCS theory, cooper pairs, flux quantization, Effect of current etc...
FIELD EFFECT TRANSISTERS (FET)
Types of Field Effect Transistors
i) Junction field effect transistor (JFET)
(ii) Metal oxide semiconductor field effect transistor (MOSFET)
[Electricity and Magnetism] ElectrodynamicsManmohan Dash
We discussed extensively the electromagnetism course for an engineering 1st year class. This is also useful for ‘hons’ and ‘pass’ Physics students.
This was a course I delivered to engineering first years, around 9th November 2009. I added all the diagrams and many explanations only now; 21-23 Aug 2015.
Next; Lectures on ‘electromagnetic waves’ and ‘Oscillations and Waves’. You can write me at g6pontiac@gmail.com or visit my website at http://mdashf.org
The concept of planes and axes of movement can be complex and difficult to understand. This presentation provides a graphical representation of each concept (as it relates to physical activity, exercise and sport) and examples of each to demonstrate each concept in a simpler manner.
This Presentation is on the topic of body movement of human basically based on the skeleton system from the ncert of class VI and I wish you will like it and give me feed back.
International Refereed Journal of Engineering and Science (IRJES) is a peer reviewed online journal for professionals and researchers in the field of computer science. The main aim is to resolve emerging and outstanding problems revealed by recent social and technological change. IJRES provides the platform for the researchers to present and evaluate their work from both theoretical and technical aspects and to share their views.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
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- How to streamline operations with automated policy checks on container images
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
1. CHAPTER 8
MAGNETOSTATIC FIELD
(MAGNETIC FORCE, MAGNETIC MATERIAL AND
INDUCTANCE)
8.1 FORCE ON A MOVING POINT CHARGE
8.2 FORCE ON A FILAMENTARY CURRENT
8.3 FORCE BETWEEN TWO FILAMENTARY CURRENT
8.4 MAGNETIC MATERIAL
8.5 MAGNETIC BOUNDARY CONDITIONS
8.6 SELF INDUCTANCE AND MUTUAL INDUCTANCE
8.7 MAGNETIC ENERGY DENSITY
1
2. 8.1 FORCE ON A MOVING POINT CHARGE
Force in electric field:
Fe QE
Force in magnetic field:
Fm QU B
Total force:
F Fe Fm or F QE U B
Also known as Lorentz force equation.
3. Force on charge in the influence of fields:
Charge Combination
Condition E Field BField E and B
Stationary QE - QE
Moving
QE QU B QE U B
4. 8.2 FORCE ON A FILAMENTARY CURRENT
__
The force on a differential current element , I dl
due to the uniform magnetic field, :
B
dF Idl B
__ __
F I dl B I B dl
F IB dl 0
It is shown that the net force for any close current loop in the uniform magnetic
field is zero.
5. Ex. 8.1: A semi-circle conductor carrying current I, is located in plane xy as
shown in Fig. 8.1. The conductor is under the influence of uniform magnetic
ˆ
field, B yB0 . Find:
(a) Force on a straight part of the conductor.
(b) Force on a curve part of the conductor.
Solution: y
B
(a) The straight part length = 2r.
Current flows in the x direction.
__
r
F I dl B
x
F1 ˆ ˆ
x(2 Ir ) yB0 ˆ
z 2 IrB 0 (N) I
6. __
(b) For curve part, dl B will be in the –
ve z direction and the magnitude is y
proportional to sin B
r
F2 I dl B
0 x
I
ˆ
zI rB0 sin d ˆ
z 2 IrB0 (N)
0
Hence, it is observed that F2 F1 and it is shown that
the net force on a close loop is zero.
7. 8.3 FORCE BETWEEN TWO FILAMENTARY
CURRENT
z
Loop l2
Loop l1
__
R12 I 2 dl 2
__
ˆ
a R12
I1 dl1
I2
I1 P1(x1,y1,z1)
P2(x2,y2,z2)
y
x
8. We have : z
dF Id l x B (N) Loop l2
Loop l1
__
The magnetic field at point P2 due to the ˆ
a R12
R12 I 2 dl 2
__
filamentary current I1dl1 : I1 dl1
I2
ˆ
I1dl1 x aR12 I1 P1(x1,y1,z1)
dH 2 (A/m) P2(x2,y2,z2)
2
4 R12 y
x
o 1
ˆ
I dl1 x aR12
d dF2 I 2 dl2 x 2
4 R12
ˆ
I dl1 x aR12
o 1
dF2 I 2 dl2 x 2
I 2 dl2 x B2
l1 4 R12
where d F2 is the force due to I2dl2 and due to the magnetic field of loop l1
9. Integrate:
ˆ
I dl1 x aR12
o 1
F2 I 2 dl2 x 2
l2 l1 4 R12
II
o 1 2
ˆ
aR12 x dl1
F2 2
x dl2
4 l2 l1 R12
For surface current :
F2 J s 2 B2 ds
s
For volume current :
F2 J 2 B2 dv
v
10. Ex. 8.2: Find force per meter between two parallel infinite conductor carrying current, I
Ampere in opposite direction and separated at a distance d meter.
z
Solution:
B2
B 2 at position conductor 2
I1 F21
ˆI ˆ
x 0 I1 I2
1
B2 0H2 0 y
2 rc 2 d d
I1 = I2 = I
x
Hence:
1
ˆ
x 0 I1
1
ˆ
x 0 I1
F2 I 2 d 2 ˆ
I 2 ( zdz )
0
2 d 0
2 d
I1 I 2 I2
ˆ
y 0
ˆ
y 0
(N/m)
2 d 2 d
11. Ex. 8.3: A square conductor current loop is located in z = 0 plane with the edge given by
coordinate (1,0,0), (1,2,0), (3,0,0) and (3,2,0) carrying a current of 2 mA in anti clockwise
direction. A filamentary current carrying conductor of infinite length along the y axis
carrying a current of 15 A in the –y direction. Find the force on the square loop.
y
Solution:
Field created in the square loop due to
filamentary current : (1,2,0) (3,2,0)
I 15 ˆ ˆ ˆ
al a R 15 A
H ˆ
z ˆ
z A/m 2 mA
2 x 2 x ˆ ˆ ˆ
y x z
3 10 -6 x
∴B 0 H 4 -7
10 H ˆ
z T z
(1,0,0) (3,0,0)
x
12. Hence: y
__ __
F I dl B I B dl
(1,2,0) (3,2,0)
3
ˆ
z
2
ˆ
z 15 A
F 2 10 3
3 10 6
ˆ
dxx ˆ
dyy 2 mA
x 1
x y 0
3 x
z
(1,0,0) (3,0,0)
1
ˆ
z
0
ˆ
z
ˆ
dxx ˆ
dyy
x 3
x y 2
1
3 1 2 1 0
F 6 10 9
ˆ
ln x 1 y y0 ˆ
x ˆ
ln x 3 y y2 ˆ
x
3
2 1
6 10 9
ˆ
ln 3 y ˆ
x ˆ ˆ
ln y 2 x
3 3
ˆ
8 x nN
13. 8.4 MAGNETIC MATERIAL
The prominent characteristic of magnetic material is magnetic polarization – the
alignment of its magnetic dipoles when a magnetic field is applied.
Through the alignment, the magnetic fields of the dipoles will combine with the
applied magnetic field.
The resultant magnetic field will be increased.
8.4.1 MAGNETIC POLARIZATION (MAGNETIZATION)
Magnetic dipoles were the results of three sources of magnetic moments that
produced magnetic dipole moments :
(i) the orbiting electron about the nucleus (ii) the electron spin and (iii) the
nucleus spin.
The effect of magnetic dipole moment will produce bound current or
magnetization current.
14. Magnetic dipole moment in microscopic
view is given by :
___ ___
dm I ds Am2
___
where dm is magnetic dipole moment in discrete
and I is the bound current.
In macroscopic view, magnetic dipole moment
per unit volume can be written as:
1 n v ___
M lim dmi A/m
v 0 vi1
where M is a magnetization and n is the volume
dipole density when v -> 0.
15. If the dipole moments become totally
aligned : ___ ___
M n dm nI ds Am-1
Magnetic dipole moments in a magnetic material
Ba 0
Ba 0
M 0
___
dmi
___
dmi
___
dmi
Macroscopic v
___
ds ___
dmi 0 dm' stend to align
Microscopic ___
base dmi 0 M 0 themselves
M 0
16. 8.4.2 BOUND MAGNETIZATION CURRENT DENSITIES
J sm and J m
z
___
y dm
x Ba
M
Ba
M
I M
___
dm Ba
M
J sm
___
Alignment of dm' s within a magnetic material under uniform B a
conditions to form a non zero J sm on the slab surfaces, and
a J m 0 within the material.
18. Bound magnetization current :
dI m Indv
__ __ __ __
dI m I (n ds dl ) (nI ds ) (dl )
___ ___
We have:
M n dm nI ds Am-1
Hence:
dI m M dl
__ __
I m = M dl through the loop l’
I m = J m ds on the surface bound by
s the loop l’
19. Using Stoke’s Theorem:
I m = J m ds M dl M ds
s l s
Hence:
is the bound magnetization current density
Jm M (Am-2)
within the magnetic material.
And to find Jsm :
M
From the diagram : dIm = Mtan dl'
loop l’
dI m On the slab ˆ
J sm n
M tan J sm surface
dl
J sm M n (Am-1) is the surface bound magnetization
current density
20. 8.4.4 EFFECT OF MAGNETIZATION ON MAGNETIC FIELDS
Due to magnetization in a material, we have seen the formation of bound
magnetization and surface bound magnetization currents density.
Maxwell’s equation:
H J (free charge)
B
J ; B o H
o
B due to free charges and bound
J Jm magnetization currents
o
M Jm Define:
B B
J M H M
o o
B
M J
o
H J
21. Hence:
B o (H M )
Magnetization in isotropic material:
M H m magnetic susceptibility
m
Hence:
B o H (1 m ) permeability
o r
r (1 m )
B H
22. Ex. 8.4: A slab of magnetic material is found in the region given by 0 ≤ z ≤ 2 m with r = 2.5.
If ˆ 5x ˆ
B 10 yxin the y mWb/m 2
slab, determine:
( a ) J (b) J m (c ) M (d ) J sm on z 0
Solution:
B 1 dBy dBx
(a) J H ˆ
z
0 r 4 10 7 2.5 dBx dy
106
ˆ
5 10 10 3 z ˆ
4.775z kA/m 2
(b) J m mJ r 1J 1.5 ˆ
4.775 z 10 3 ˆ
7.163 z kA/m 2
B
(c ) M mH m
0 r
ˆ ˆ
1.5 10 yx 5 xy 10 3
4 10 7 2.5
ˆ ˆ
4.775 yx 2.387 xy kA/m
23. (c ) M ˆ
4.775 yx ˆ
2.387 xy kA/m
(d) J sm M n
ˆ
Because of z = 0 is under the slab region of 0 ≤ z ≤ 2 , therefore ˆ
n ˆ
z
J sm ˆ
(4.775 yx ˆ
2.387 xy ) ˆ
z
ˆ ˆ
2.387 xx 4.775 yy kA/m
24. Ex. 8.5: A closely wound long solenoid has a concentric magnetic rod inserted as shown in
the diagram.In the center region, find:(a) H , B and M in both air and magnetic rod, (b)
the ratio of the B in the rod to the B in the air, (c) J mon the surface of the rod and J sm
within the rod. Assume the permeability of the rod equals
5 o.
P2 P3
0
b
magnetic
a
rod r P2’ P3’ z
0
P1 P4
Solution:
(a) Using Ampere’s circuital law to the closed path P1 - P2 - P3- P4 . If using path P1 - P2’ -
P3’ -P4 - P1, Hz in the rod will be the same as in the air since Ampere’s circuital law
does not include any Im in its Ien term.
25. Hence:
P3
NI
H d ˆ ˆ
( zH z ) ( zdz) H z d I en d
P2
NI
Hz Js P3
0 P2
b
magnetic a
P2’ P3’
rod z
0
M ˆ
zM z m ˆ
( zH z ) in the rod
P1 P4
M 0 in air (since m of air is zero)
B 0 ˆ
( zH z ) in air
B 0 r ˆ
( zH z ) in the rod
26. Brod 5 o ˆ
zH z (c) J sm ˆ ˆ ˆ
M n ( zM z ) rc ˆM
(b) 5 z
Bair o ˆ
zH z
Jm M ˆ
( zM z ) 0
0
flux Js
Js aa
J sm ˆ
z
b
M
ˆ
n ˆ
r
Hz=NI/l
Hz
Bz 5 0Hz
flux Jsm
B z = 0 Hz
Mz
J sm
Mz=4Hz
Jsm Plots of H, B and M, Js and Jsm along
Js
the cross section of the solenoid
Js=Hz=NI/l
Jsm=4Hz and the magnetic rod
27. 8.4.5 MAGNETIC MATERIAL CLASSIFICATION
Magnetic material can be classified into two main groups:
Group A – has a zero dipole moment
dm 0 diamagnetic material eg. Bismuth
m 1.66 10 5 , r 0.9999834
Group B – has a non zero dipole moment
(a) Paramagnetic material - dm 0 ; M 0
When Bais applied, there will be a slight alignment of the atomic dipole
moment to produce M 0
Eg. Aluminum - χm 2 10 5 , μ r 1.00002
(b) Ferromagnetic material : has strong magnetic moment in the dm
absence
of an applied field. Ba
Eg: metals such as nickel, cobalt and iron.
28. 8.5 MAGNETIC BOUNDARY CONDITIONS
To find the relationship between B , H and M
ˆ
n21
Region 1: 1 , m1 B/H
s l
a
h/2 b
Boundary h/2
h/2 d
c h/2
Region 2: 2 , m2 Js
To find normal component of B andthe boundary
at H
__
Consider a small cylinder as h 0 and use B ds 0
__
B ds B1n s B2 n s 0
B1n B2 n
1 H1n 2 H 2n
29. To find tangential component of ˆ ˆ
n21 = a n 21
B and H at the boundary1
Region 1: 1, m B/H
Consider a closed abcd as h 0
__ s l
and use H dl I enc a
h/2 b
lBoundary h/2
h/2 d
h/2
H1t l H 2t l I enc c
Region 2: 2 , m2 Js z
H1t H 2t Js
x x
where J sis perpendicular to the directions of andH1t H 2t y
In vector form : ˆ
z ˆ
x ˆ
y
ˆ
an 21 H1 H 2 Js
ˆ
a n 21 is a normal unit vector from region 2 to region 1
30. We have:
We have:
H1t H 2t Js
Hence: M m H
B1t B2t Hence:
Js
1 2 M 1t M 2t
Js
We have: m1 m2
M Jm We have:
M dV J m dV Im 1 H1n 2 H 2n
v v
__ Hence:
and M dl Im
l M 1n M 2n
Hence: 1 2
m1 m2
M 1t M 2t J sm
If Js = 0 :
B1t B2t
H 1t H 2t or
1 2
31. If the fields were defined by an angle normal to the interface
B1 cos 1 B1n B2 n B2 cos 2 (1)
B1 B2
sin 1 H1t H 2t sin 2 (2)
1 2
y
Divide (2) to (1): B1 or H 1
tan Region 1: 1 , m1 B1n
1 1 r1 1 B1
tan 2 2 r2 Boundary at y
= 0 plane
B1t
x
Region 2: 2 , m2
2
B2 or H 2
32. Ex. 8.6: Region 1 defined by z > 0 has 1 = 4 H/m and 2 = 7 H/m in region 2
defined by z < 0. J s 80 x A/m on the surface at z = 0. Given
ˆ
B1 ˆ ˆ
2x 3y ˆ
z mT , find B 2 B1n
B1 ˆ
n21 ˆ
z
Solution: Js ˆ
80 x
Normal component B1 #1 B1t
H 1t
B1n ˆ ˆ
( B1 n12 )n12 Z=0
#2
ˆ ˆ ˆ
2x 3 y z ˆ
z ˆ
z B2 n B2t
B2 H 2t z
ˆ
z
ˆ
n12 ˆ
z
B2 n B1n ˆ
z y
x
B1t B1 B1n ˆ
2x ˆ
3y ˆ
H 2t H 1t n12 Js
B1t ˆ ˆ
2 x 3 y 10 3
ˆ
500 x 750 yˆ ˆ
z ˆ
80 x
H 1t
1 4 10 6 ˆ
500 x ˆ
750 y ˆ
80 y
ˆ
500 x ˆ
750 y A/m ˆ
500 x ˆ
670 y A/m
B2t 2 H 2t
ˆ ˆ
7 10 6 500x 670 y ˆ ˆ
3.5 x 4.69 y
B2 B2t B2 n ˆ ˆ ˆ
3.5 x 4.69 y z mT
33. Ex. 8.7: Region 1, where r1 = 4 is the side of the plane y + z < 1 . In region 2
, y + z > 1 has r2 = 6 . If B ˆ ˆ
2 x y find B2 and H 2
1
Solution: z
The unit normal: ˆ
n ˆ
(y ˆ
z) / 2
y+z=1
#2 ˆ
an ˆ
n12
B1n ˆ ˆ
( B1 n12 ) n12
#1
ˆ
2x ˆ
y ˆ
y ˆ
z 1 r2 =6
B1n
2 2 O y
1 =4
B1n ˆ ˆ ˆ
n12 0.5 y 0.5 z B2 n r1
2 B2 B2t B2 n
B1t ˆ ˆ
B1 B1n 2 x 0.5 y 0.5 zˆ
B2 ˆ ˆ ˆ
3x 1.25 y 0.25z (T)
1
H1t ˆ ˆ ˆ
0.5 x 0.125 y 0.125z H 2t 1
0 H2 ˆ ˆ ˆ
0.5 x 0.21y 0.04 z (A/m)
0
B2t 0 r2 H 2t ˆ ˆ ˆ
3 x 0.75 y 0.75 z
34. 8.6 SELF INDUCTANCE AND MUTUAL INDUCTANCE
Simple electric circuit that shows the effect of energy stored in a magnetic field
of an inductor :
Magnetic
flux Coil
_
I
VL +
From circuit theory the induced potential across a wire wound coil such as
solenoid or a toroid :
dI
VL L
dt
where L is the inductance of the coil, I is the time varying current flowing through
the coil – inductor.
35. In a capacitor, the energy is stored in the electric field : 1
WE CV 2
2
In an inductor, the energy is stored in the
Magnetic
electric field, as suggested in the diagram : flux Coil
t t0 t t0
dI
Wm VL Idt L Idt I
_
t 0 t 0
dt VL +
t t0
1 2 switch
LI dI LI ( Joule)
t 0
2
Define the inductance of an inductor :
L Henry
I
where (lambda) is the total flux linkage of the inductor
36. L H ( Henry) I2
I
m N Weber turns Circuit 2
N2 turns
Hence :
m N
L H I1 Circuit 1
I N1 turns
Two circuits coupled by a common
magnetic flux that leads to mutual
inductance.
Mutual inductance :
12 is the linkage of circuit 2
12
M 12 produced by I1 in circuit 1
I1
For linear magnetic medium M12
= M21
37. Ex. 8.8: Obtain the self inductance of the long solenoid shown in the diagram.
Solution:
Assume all the flux ψ m links all N turns and thatB
does not vary over the cross section area of the flux
solenoid.
mN B a2 N
N turns
We have B H
2 NI
H a N a2 N
l
N 2I
a2
l
N 2 a2
L
I l
38. Ex. 8.9: Obtain the self inductance of the toroid shown in the diagram.
Solution:
Mean path
2
c a
B N Cross sectional
mN
4 0 area S
L b
c
I I I m
a
NI I
SN Feromagnetic core
2 b __
ˆ
ds al Bave
I
N 2S
L
2 b N turns
whereb - mean radius
S - toroidal crosssectional area
39. Ex. 8.10: Obtain the expression for self inductance per meter of the coaxial cable when the
current flow is restricted to the surface of the inner conductor and the inner surface of the
outer conductor as shown in the diagram.
Solution:
The ψ mwill exist only between a and b and will
link all the current I
1 b
m H drc dz
L b
I I 0 a
I
1 b ψm
I drc dz a
0 a
2 rc I
b
ln
2 a
40. Ex. 8.11: Find the expression for the mutual inductance between circuit 1 and
circuit 2 as shown in the diagram.
I2
Solution:
Let us assume the mean path :
Circuit 2
2 b >> (c-a) N2 turns
c
12 m (12 ) N2 b
M 12 a
I1 I1
I1 Circuit 1
2
c a N1 turns
B12 N2
4 Two circuits coupled by a common
magnetic flux that leads to mutual
I1 inductance.
N1 I 1
SN 2
2 b N1 N 2 S
I1 2 b
41. 8.7 MAGNETIC ENERGY DENSITY
We have :
L Henry c
b
I m
a
I
1 2 1 1
Wm LI I2 I Joule S
2 2 I 2
Consider a toroidal ring : The energy in the magnetic field :
N turns
1 1
Wm m NI BSNI
2 2
Multiplying the numerator and denominator by 2 b :
1 NI
Wm B S2 b
2 2 b
NI
where H and ( S 2 b) is the volumeV of the toroid
2 b
42. Hence :
1
Wm BHV
2
Wm 1 1
wm BH H2 Jm 3
V 2 2
In vector form :
1
wm B H
2
Hence the inductance :
2 2 1
L 2
Wm B H dv
I I2 v
2
43. Ex. 8.12: Derive the expression for stored magnetic energy density in a coaxial cable with
the length l and the radius of the inner conductor a and the inner radius of the outer
conductor is b. The permeability of the dielectric is .
Solution:
I
H
2 r
1 I2 1
Wm H 2 dv dv
2 v 8 2 vr2
b
b
I2 1
Wm 2 rl dr
8 2
r 2 ψm a
a
I 2l b
ln (J)
4 a