1) The second law of thermodynamics leads to the definition of entropy, which is a measure of microscopic disorder and energy unavailable for useful work.
2) The Clausius inequality derives the working definition of entropy and mathematically expresses the second law. It states that the net work done by a heat engine in a cycle must be less than or equal to zero.
3) Entropy changes can be calculated using the Tds equation, where the integral of dQ/T over a reversible process between two states equals the change in entropy between those states. This allows entropy to be analyzed on temperature-entropy diagrams.
this is my presentation about 2nd law of thermodynamic. this is part of engineering thermodynamic in mechanical engineering. here discussed about heat transfer, heat engines, thermal efficiency of heat pumps and refrigerator and its equation for perfect work done with best figure and table wise discription, entropy and change in entropy, isentropic process for turbines and compressor and many more.
Engineering Thermodynamics-second law of thermodynamics Mani Vannan M
This file consists of content which covers the basics of second law of thermodynamics,heat reservoir,heat source ,heat sink,refrigerator, heat pump,heat engine,carnot theorem,carnot cycle and reversed carnot cycle
this is my presentation about 2nd law of thermodynamic. this is part of engineering thermodynamic in mechanical engineering. here discussed about heat transfer, heat engines, thermal efficiency of heat pumps and refrigerator and its equation for perfect work done with best figure and table wise discription, entropy and change in entropy, isentropic process for turbines and compressor and many more.
Engineering Thermodynamics-second law of thermodynamics Mani Vannan M
This file consists of content which covers the basics of second law of thermodynamics,heat reservoir,heat source ,heat sink,refrigerator, heat pump,heat engine,carnot theorem,carnot cycle and reversed carnot cycle
Forms of energy
Energy transfer by heat
Energy transfer by work
Mechanical forms of work
The first law of thermodynamics
Energy balance
Energy change of a system
Mechanisms of energy transfer (heat, work, mass flow)
Energy conversion efficiencies
Efficiencies of mechanical and electrical devices (turbines, pumps, etc...)
Forms of energy
Energy transfer by heat
Energy transfer by work
Mechanical forms of work
The first law of thermodynamics
Energy balance
Energy change of a system
Mechanisms of energy transfer (heat, work, mass flow)
Energy conversion efficiencies
Efficiencies of mechanical and electrical devices (turbines, pumps, etc...)
This presentation had been prepared for the aircraft propulsion class to my undergraduate and graduate students at Kasetsart University and Chulalongkorn University - Bangkok, Thailand.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
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Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
1. UNIT – II
SECOND LAW OF THERMODYNAMICS
B.Prabhu, T.Suresh, P.Selvan
Assistant Professor – Mechanical Engineering
Kamaraj College of Engineering & Technology,
Virudhunagar
1
2. Entropy and the Clausius Inequality
The second law of thermodynamics leads to the definition of a new property called
entropy, a quantitative measure of microscopic disorder for a system. Entropy is a
measure of energy that is no longer available to perform useful work within the
current environment. To obtain the working definition of entropy and, thus, the
second law, let's derive the Clausius inequality.
Consider a heat reservoir giving up heat to a reversible heat engine, which in turn
gives up heat to a piston-cylinder device as shown below.
3. 3
E E E
Q W W dE
in out c
R rev sys c
− =
− + =
∆
δ δ δ( )
δ δ δ
δ δ
W W W
Q W dE
c rev sys
R c c
= +
− =
We apply the first law on an incremental basis to the combined system composed of
the heat engine and the system.
where Ec
is the energy of the combined system. Let Wc
be the work done by the
combined system. Then the first law becomes
If we assume that the engine is totally reversible, then
δ δ
δ
δ
Q
T
Q
T
Q T
Q
T
R
R
R R
=
=
The total net work done by the combined system becomes
δ
δ
W T
Q
T
dEc R c= −
4. 4
Now the total work done is found by taking the cyclic integral of the incremental work.
If the system, as well as the heat engine, is required to undergo a cycle, then
and the total net work becomes
If Wc is positive, we have a cyclic device exchanging energy with a single heat
reservoir and producing an equivalent amount of work; thus, the Kelvin-Planck
statement of the second law is violated. But Wc can be zero (no work done) or
negative (work is done on the combined system) and not violate the Kelvin-Planck
statement of the second law. Therefore, since TR > 0 (absolute temperature), we
conclude
5. 5
Let’s look at a simple
irreversible cycle on a p-v
diagram with two processes
P
υ
1
2
.
.A
B
Let A be
irreversible and B
be reversible
6. 6
Irreversible cycle
0)
T
Q
AB ≤
δ
∫By Clausius Inequality
Evaluate cyclic integral
0
T
Q
T
Q
T
Q
2
1 B
2
1 Acycle
≤
δ
−
δ
=
δ
∫∫∫
(non-rev) (rev)
7. 7
Irreversible cycle
For the reversible process, B, dS=δQ/dT,
thus:
0dS
T
Q
T
Q
2
1
2
1 Acycle
≤−
δ
=
δ
∫∫∫
Rearranging and integrating dS:
∫
δ
≥∆
2
1 AT
Q
S
8. 8
Second Law of Thermodynamics
Entropy is a non-conserved property!
∫
δ
≥−=∆
2
1 A
12
T
Q
SSS
This can be viewed as a mathematical
statement of the second law (for a
closed system).
9. 9
We can write entropy change as an
equality by adding a new term:
gen
2
1 A
12 S
T
Q
SS +
δ
=− ∫
entropy
change
entropy
transfer
due to
heat
transfer
entropy
production
or
generation
10. 10
Entropy generation
• Sgen > 0 is an actual irreversible process.
• Sgen = 0 is a reversible process.
• Sgen < 0 is an impossible process.
11. 11
Entropy transfer and production
• What if heat were transferred from the
system?
• The entropy can actually decrease if
gen
2
1 A
S
T
Q
>
δ
∫
and heat is being transferred away
from the system so that Q is negative.
12. 12
Entropy Production
Sgen quantifies irreversibilities. The
larger the irreversibilities, the greater
the value of the entropy production, Sgen
.
A reversible process will have no entropy
production.
13. 13
Entropy transfer and production
• S2 – S1
> 0, Q could be + or –; if –,
because Sgen is always positive.
< 0, if Q is negative and
= 0 if Q = 0 and Sgen = 0.
= 0 if Q is negative and
gen
2
1 A
S
T
Q
>
δ
∫
gen
2
1 A
S
T
Q
<
δ
∫
gen
2
1 A
S
T
Q
=
δ
∫
14. 14
Isentropic processes
• Note that a reversible (Sgen = 0),
adiabatic (Q = 0) process is always
isentropic (S1 = S2)
• But, if the process is merely isentropic
with S1 = S2, it may not be a reversible
adiabatic process.
• For example, if Q < 0 and gen
2
1 A
S
T
Q
=
δ
∫
15. 15
Entropy generation
• Consider
• What if we draw our system boundaries
so large that we encompass all heat
transfer interactions? We would
thereby isolate the system.
gen
2
1 A
12 S
T
Q
SS +
δ
=− ∫
16. 16
Entropy changes of isolated systems
• And then
gen
2
1 A
12 S
T
Q
SS +
δ
=− ∫
0
gen12 SSS =−
•But Sgen≥0. So, the entropy of an
isolated system always increases. (This is
the source of the statement, ‘The world is
running down.’)
20. 20
Ts diagrams
∫= pdVw
Work was the area under the curve.
Recall that the P-v diagram was very
important in first law analysis, and that
21. 21
For a Ts diagram
revintT
Q
dS
δ
=
TdSδQ revint =
∫=
2
1
revint TdSQ
Rearrange:
Integrate:
If the internally reversible process also is
isothermal at some temperature To:
STdSTQ o
2
1
orevint ∆== ∫
22. 22
On a T-S diagram, the area under the process curve represents the heat
transfer for internally reversible processes
d
23. 23
Entropy change of a thermal
reservoir
For a thermal reservoir, heat transfer occurs
at constant temperature…the reservoir
doesn’t change temperature as heat is
removed or added:
∫=∆
T
Q
S
δ
Since T=constant:
T
Q
S =∆
24. 24
Derivation of Tds equations:
dQ – dW = dU
For a simple closed
system:
dW = PdV
The work is given by:
dQ = dU + PdV
Substituting gives:
25. 25
More derivation….
For a reversible process:
TdS = dQ
Make the substitution for δQ in the energy
equation:
PdV+dU=TdS
Or on a per unit mass basis:
Pdv+du=Tds
26. 26
Entropy is a property. The Tds expression
that we just derived expresses entropy in
terms of other properties. The properties
are independent of path….We can use the
Tds equation we just derived to calculate
the entropy change between any two
states:
Tds = du +Pdv
Tds = dh - vdP
Starting with enthalpy, it is possible to
develop a second Tds equation:
Tds Equations
27. 27
Let’s look at the entropy change
for an incompressible
substance:
dT
T
)T(c
ds =
We start with the first Tds equation:
Tds = cv(T)dT + Pdv
For incompressible substances, v ≅ const, so
dv = 0.
We also know that cv(T) = c(T), so we can
write:
28. 28
Entropy change of an
incompressible substance
dT
T
)T(c
ss
2
1
T
T
12 ∫=−
1
2
12
T
T
lncss =−
Integrating
If the specific heat does not vary with
temperature:
29. 29
Entropy change for an ideal gas
dTcdh p= And
dp
p
RT
dTcTds p −=
Tds = dh - vdp
Start with 2nd Tds equation
Remember dh and v for an ideal gas?
v=RT/p
Substituting:
30. 30
Change in entropy for an ideal gas
p
dp
R
T
dT
cds p −=
Dividing through by T,
Don’t forget, cp=cp(T)…..a function of
temperature! Integrating yields
1
2
T
T
p12
p
p
lnR
T
dT
)T(css
2
1
−=− ∫
31. 31
Entropy change of an ideal gas
for constant specific heats:
approximation
• Now, if the temperature range is so
limited that cp ≅ constant (and cv ≅
constant),
1
2
pp
T
T
lnc
T
dT
c =∫
1
2
1
2
p12
p
p
lnR
T
T
lncss −=−
32. 32
Entropy change of an ideal gas
for constant specific heats:
approximation
• Similarly it can be shown from
Tds = du + pdv
that
1
2
1
2
v12
v
v
lnR
T
T
lncss +=−
33. 33
Entropy change of an ideal gas
for variable specific heats: exact
analysis
1
2
T
T
p12
p
p
lnR
T
dT
)T(css
2
1
−=− ∫
∫
2
1
T
T
p
T
dT
c
Integrating..
To evaluate entropy change, we’ll
have to evaluate the integral:
35. 35
Entropy change of an ideal gas for
variable specific heats: exact
analysis
• Only is tabulated. The
is not.
• So,
dTcp∫ dTcv∫
1
2
1
o
2
o
12
p
p
lnR)T(s)T(sss −−=−
36. 36
Entropy change of an ideal gas
• Note that the entropy change of an ideal
gas, unlike h and u, is a function of two
variables.
• Only the reference entropy, so
, is a
function of T alone.