The document discusses Gibbs free energy (G), which is a measure of the useful energy in a chemical reaction. A reaction will occur spontaneously if G decreases. G is defined as enthalpy (H) minus temperature (T) multiplied by entropy (S). The Gibbs free energy change (ΔG) for a reaction determines whether it is spontaneous or not. If ΔG is negative, the reaction proceeds spontaneously, and if ΔG is positive or zero, the reaction is at equilibrium or non-spontaneous. The Clapeyron equation relates the change in vapor pressure of a substance to temperature and can be used to calculate phase 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.
Second law of thermodynamics (and third law of thermodynamics) as taught in introductory physical chemistry (including general chemistry). Covers concepts such as entropy, Gibbs free energy, and phase equilibrium.
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.
Second law of thermodynamics (and third law of thermodynamics) as taught in introductory physical chemistry (including general chemistry). Covers concepts such as entropy, Gibbs free energy, and phase equilibrium.
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
In this PPT have have covered
1. Basic thermodynamics definition
2. Thermodynamics law
3. Properties , cycle, Process
4. Derivation of the Process
5.Formula for the numericals.
This topic is use full for those students who want to study basic thermodynamics as a part of their University syllabus.
Most of the university having basic Mechanical engineering as a subject and in this subject Thermodynamics is a topic so by this PPT our aim is to give presentable knowledge of the subject
Introduction to the second law
Thermal energy reservoirs
Heat engines
Thermal efficiency
The 2nd law: Kelvin-Planck statement
Refrigerators and heat pumps
Coefficient of performance (COP)
The 2nd law: Clasius statement
Perpetual motion machines
Reversible and irreversible processes
Irreversibility's, Internal and externally reversible processes
The Carnot cycle
The reversed Carnot cycle
The Carnot principles
The thermodynamic temperature scale
The Carnot heat engine
The quality of energy
The Carnot refrigerator and heat pump
This presentation gives you information om Clausius Statement, its proof, Entropy change for Open System and reversible and irreversible processes with simple explanation and day to day examples.
Subject: ME8391 Engineering Thermodynamics
Topic: Basic Concepts & First law of Thermodynamics
B.E. Mechanical Engineering
Second year, III Semester.
[Anna University R-2017]
Excess gibbs free energy models,MARGULES EQUATION
,REDLICH-KISTER EQUATION,VAN LAAR EQUATION
,WILSON AND “NRTL” EQUATION
,UNIversal QUAsi Chemical equation
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
In this PPT have have covered
1. Basic thermodynamics definition
2. Thermodynamics law
3. Properties , cycle, Process
4. Derivation of the Process
5.Formula for the numericals.
This topic is use full for those students who want to study basic thermodynamics as a part of their University syllabus.
Most of the university having basic Mechanical engineering as a subject and in this subject Thermodynamics is a topic so by this PPT our aim is to give presentable knowledge of the subject
Introduction to the second law
Thermal energy reservoirs
Heat engines
Thermal efficiency
The 2nd law: Kelvin-Planck statement
Refrigerators and heat pumps
Coefficient of performance (COP)
The 2nd law: Clasius statement
Perpetual motion machines
Reversible and irreversible processes
Irreversibility's, Internal and externally reversible processes
The Carnot cycle
The reversed Carnot cycle
The Carnot principles
The thermodynamic temperature scale
The Carnot heat engine
The quality of energy
The Carnot refrigerator and heat pump
This presentation gives you information om Clausius Statement, its proof, Entropy change for Open System and reversible and irreversible processes with simple explanation and day to day examples.
Subject: ME8391 Engineering Thermodynamics
Topic: Basic Concepts & First law of Thermodynamics
B.E. Mechanical Engineering
Second year, III Semester.
[Anna University R-2017]
Excess gibbs free energy models,MARGULES EQUATION
,REDLICH-KISTER EQUATION,VAN LAAR EQUATION
,WILSON AND “NRTL” EQUATION
,UNIversal QUAsi Chemical equation
VLE Data - Selection and Use
0 INTRODUCTION/PURPOSE
1 SCOPE
2 FIELD OF APPLICATION
3 DEFINITIONS
4 DIAGRAMMATIC REPRESENTATION OF IDEAL
AND NON-IDEAL SYSTEMS
4.1 Ideal Mixtures
4.2 Non-Ideal Mixtures
5 REVIEW OF VLE MODELS
5.1 Ideal Behavior in Both Phases
5.2 Liquid Phase Non-Idealities
5.3 High Pressure Systems
5.4 Special Models
6 SETTING UP A VLE MODEL
6.1 Define Problem
6.2 Select Data
6.3 Select Correlation(s)
6.4 Produce Model
7 AVOIDING PITFALLS
7.1 Experimental Data is Better than Estimates
7.2 Check Validity of Fitted Model
7.3 Check Limitations of Estimation Methods
7.4 Know Your System
7.5 Appreciate Errors and Effects
7.6 If in Doubt – Ask
8 A CASE STUDY
8.1 The Problem
8.2 The System
8.3 Data Available
8.4 Selected Correlation
8.5 Simulation
8.6 Selection of Model
9 RECOMMENDED READING
10 VLE EXPERTS IN GBHE
APPENDICES
A USE OF EXTENDED ANTOINE EQUATION
B USE OF WILSON EQUATION
C USEFUL METHODS OF ESTIMATING
D EQUATIONS OF STATE FOR VLE CALCULATIONS
TABLES
1 SUMMARY OF VLE METHODS
2 LIST OF USEFUL REFERENCES
FIGURES
1 VAPOR-LIQUID EQUILIBRIUM - IDEAL SOLUTION
BEHAVIOR
2 VAPOR-LIQUID EQUILIBRIUM - A GENERALISED
Y-X DIAGRAM
3 VAPOR-LIQUID EQUILIBRIUM - MINIMUM BOILING
AZEOTROPE
4 VAPOR-LIQUID EQUILIBRIUM - MAXIMUM BOILING
AZEOTROPE
5 VAPOR-LIQUID EQUILIBRIUM - MINIMUM BOILING
AZEOTROPE -TWO LIQUID PHASES
6 SENSITIVITY TO ERROR IN VLE DATA (BASED ON FENSKE EQUATION)
7(a) FITTING WILSON 'A' VALUES TO VLE DATA - CASE A
7(b) FITTING WILSON 'A' VALUES TO VLE DATA - CASE B
7(c) FITTING WILSON 'A' VALUES TO VLE DATA - CASE C
Basic Terminology,Heat, energy and work, Internal Energy (E or U),First Law of Thermodynamics, Enthalpy,Molar heat capacity, Heat capacity,Specific heat capacity,Enthalpies of Reactions,Hess’s Law of constant heat summation,Born–Haber Cycle,Lattice energy,Second law of thermodynamics, Gibbs free energy(ΔG),Bond Energies,Efficiency of a heat engine
thermodynamics, basic definitions with explanations, heat transfer, mode of heat transfer, Difference between thermodynamics and heat transfer?What is entropy?
Plotting of different parameters entropy, enthalpy, gibbs free energy, heat c...Soumya Ranjan Sahoo
this presentation gives a broad idea about the thermodynamical parameters like enthalpy, entropy,Gibbs free energy specific heat etc, and the relation between those parameter.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
2. • “Gibbs Free Energy” is energy that is still useful.
• A chemical reaction will occur if the Gibbs would decrease.
G = H - TS
Gibbs free energy is a measure of chemical energyGibbs free energy is a measure of chemical energy
All chemical systems tend naturally toward states of minimum
Gibbs free energy
G = Gibbs Free Energy
H = Enthalpy (heat content)
T = Temperature in Kelvins
S = Entropy (can think of as
randomness)
Gibbs free energy also known as the free enthalpy
Is a thermodynamic potential that measures the maximum or reversible work
that may be performed by a system at a constant temperature and pressure
(Isothermal, Isobaric)
3. Spontaneity and Gibbs Free Energy
• Gibbs Free energy is a measure of the spontaneity of a process
• ΔG is the free energy change for a reaction under standard state
conditions
• At constant temperature and pressure: ΔG = ΔH – TΔS
– an increase in ΔS leads to a decrease in ΔG
–– ifif ΔΔG < 0, the forward reaction is spontaneousG < 0, the forward reaction is spontaneous
–– ifif ΔΔG > 0, the forward reaction is nonspontaneousG > 0, the forward reaction is nonspontaneous
–– ifif ΔΔG = 0, the process is in equilibriumG = 0, the process is in equilibrium
4. • The Gibbs Free Energy is generally agreed to be the
“weapon of choice” for describing (a) chemical reactions
and (b) equilibria between phases. It is defined as:
• G = H – TS = U + PV – TS (1)
Where H = Enthalpy
• U = Total internal energy
• T = [Absolute] Temperature
• S = Entropy
• Obviously dG = dU + PdV +VdP – TdS – SdT
The Gibbs Free Energy and equilibria
5. • Remember that thermodynamic variables come in pairs
One is “intrinsic” (does not depend on system size)
The other is “extrinsic” (depends on system size)
• Examples: P and V, T and S…
• Also G and n, the number of moles of stuff in the system.
• Hence G is the appropriate variable when material is moving between
phases
Note:
6. From the First Law of Thermodynamics
• dU = TdS – PdV
since dS = dQ/T and the mechanical work done on a system
when it expands is –PdV.
• Substituting into
• dG = dU + PdV +VdP – TdS – SdT
• Leaves: dG = -SdT + VdP
Clapeyron’s Equation
7. Closed System
• Closed system contains pure substance
– vapor
– condensed phase
• Phases co-exist in equilibrium.
Write the Free Energy Equation twice
• Once for each phase
• dGc = -ScdT + VcdP c refers to the condensed phase
• dGv = -SvdT + VvdP v refers to the vapor phase
8. Definition of chemical equilibrium between two phases
• Free energy is the same in both phases Gc = Gv
• Changes in free energy when some independent variable is
changed must be the same if they are to remain in equilibrium
dGc = dGv
-ScdT + VcdP = -SvdT + VvdP
(Sv - Sc )dT = (Vv- Vc)dP
• (Sv - Sc ) is the entropy change that takes place when material moves from
the condensed phase to the vapor
•ΔS = ΔQ/T where ΔQ is the amount of heat required per mole of material
moved between the phases
•ΔQ is just the heat of vaporization!
9. • dP/dT = (Sv – Sc)/(Vv – Vc) = ΔHv/(TΔV)
This is the Clapeyron equation
• It relates the change in pressure of a vapor to the temperature
in a closed, mono-component system to the heat of
vaporization, system temperature and molar volume change of
the material on vaporization.
dP S
or
dT V
∆
=
∆
From the Clapeyron’s Equation we can calculate phase
diagrams.
H=U+PV=Q
10. Creating of an Ideal Gas
• For lack of a better model, we treat most vapors as ideal gases, whose
molar volume is given by:
• V/n = RT/P
• Alternatively, equation of state is needed
• Molar volume of gas is typically factor of 500 larger than condensed phase
• Hence Vc is negligible in comparison
Substituting and Integrating
dP = (ΔHv/Vv)dT/T = (PΔHv/RT)dT/T
dP/P = ΔHv/R)dT/T2
ln(P(T)/ P0) = -(ΔHv/R)(1/T – 1/T0)
P(T) = P0 exp(-ΔHv/R(1/T – 1/T0))
Integrating
11. • The vapor pressure in equilibrium with a condensed phase
increases exponentially (sort of: exp(-1/T) isn’t exactly an
exponential!) with temperature from zero up to the critical
temperature.
• Deviations from linearity on the log-log plot
– Temperature dependence of the heat of vaporization
– exp (-1/T) isn’t really linear in the exponent.
12. Heat of Vaporization from CRC Data
Log10p(Torr) = -0.2185*A/T + B
Vapor Pressure of Water
Temperature (C)
-20 0 20 40 60 80 100 120
VaporPressure(Torr)
0.1
1
10
100
1000
10000
"Normal boiling point"
13. 1. Determine the vapor pressure at 77 K for
a. Water
b. Carbon monoxide
2. What is the boiling point of water in a vacuum system at 10-6
Torr?
HW
3. In the chemical equation G = H - TS, the term G stands for
A) entropy
B) the reactants
C) enthalpy
D) free energy
E) the products