SlideShare a Scribd company logo
The First Law of Thermodynamics
1
Development of Thermodynamics
 Based on general understanding of interconversion between heat and work, first and
second laws were developed
 They are postulates and no contrary experience observed so far
 These laws were later developed into a network of equations
 Have wide ranging application in all branches of engineering
2
System and Surroundings
 System: Body of matter that is of interest
 Surroundings: Everything else
 Universe: System + Surroundings
3
System
Surroundings
Size of a system
 Size of the system: Expressed as mass (m), moles (n) or total
volume (Vt)
 𝑛 =
𝑚
𝑚𝑜𝑙𝑒𝑐𝑢𝑙𝑎𝑟 𝑤𝑒𝑖𝑔ℎ𝑡
 Molecular weight or molar mass
Molar mass of water : 18
4
Density and Volume
 𝑴𝒐𝒍𝒂𝒓 𝒗𝒐𝒍𝒖𝒎𝒆 𝑽 =
𝑽𝒕
𝒏
(SI Units: 𝒎𝟑
𝒌𝒎𝒐𝒍−𝟏
)
 𝑆𝑝𝑒𝑐𝑖𝑓𝑖𝑐 𝑣𝑜𝑙𝑢𝑚𝑒 𝑉 =
𝑉𝑡
𝑚
(SI Units: 𝒎𝟑𝒌𝒈−𝟏)
 𝑴𝒐𝒍𝒂𝒓 𝒅𝒆𝒏𝒔𝒊𝒕𝒚 𝝆 =
𝟏
𝒎𝒐𝒍𝒂𝒓 𝒗𝒐𝒍𝒖𝒎𝒆
(SI Units: 𝒌𝒎𝒐𝒍 𝒎−𝟑 )
 𝑆𝑝𝑒𝑐𝑖𝑓𝑖𝑐 𝑑𝑒𝑛𝑠𝑖𝑡𝑦 𝜌 =
1
𝑠𝑝𝑒𝑐𝑖𝑓𝑖𝑐 𝑣𝑜𝑙𝑢𝑚𝑒
(SI Units: 𝒌𝒈 𝒎−𝟑 )
5
Extensive and Intensive Properties
 Extensive Properties depend on the size (quantity) of the system
 Intensive properties: Independent of the size
 What is molar volume, V for the cases above?
6
n = 5 mol
Vt = 100 lit n = 10 mol
Vt = ?
n = 10 mol
Vt = 200 lit
n = 10 mol
Vt = 200 lit
V=20 lit/mol
n = 5 mol
Vt = 100 lit
V=20 lit/mol
Extensive and Intensive Properties
 Specific volume (m3/kg), molar or specific density are also intensive
 Applicable only for systems where all physical properties are uniform throughout
(homogeneous system)
 In a two-phase system containing vapor and liquid, each phase will have different
values of molar volumes (or densities).
7
Temperature
 Galileo (Early 1600’s): Thermoscope
 Romer (early 1700’s) : Developed numerical scale
 Farenheit (used Hg, 4 divisions per degree)
8
Temperature
 Celsius (1744) : Celsius scale
 Amontons (early 1700’s) provided approximate estimate of absolute zero by
observing PVT relationship of various gases
 At this temperature, P → 0 (corresponding to the intercept)
 Absolute temperature scales (Kelvin and Rankine)
9
Temperature
 Celsius (1744) : Celsius scale
 Amontons (early 1700’s) provided approximate estimate of absolute zero by
observing PVT relationship of various gases
 At this temperature, P → 0 (corresponding to the intercept)
 Absolute temperature scales (Kelvin)
10
Temperature
 Absolute temperature scale (Rankine)
 Relationship between temperatures
t ℉ = 1.8 t ℃ + 32
𝐓 °𝐑 = t ℉ + 459.67 𝐓 𝐊 = t ℃ + 273.15
𝐓 °𝐑 = 1.8 𝐓 𝐊
 DIY: Convert 80 ℉ into the other three temperature scales
11
Absolute Pressure
 Pressure: Absolute and Gauge pressure
𝑃𝑎𝑏𝑠 = 𝑃
𝑔𝑎𝑢𝑔𝑒 + 𝑃𝑎𝑡𝑚
 Recall conversions between various units for pressure
Pa, psi, bar, atm, mmHg etc.
12
Work
 Work done on the system: Positive sign
 When we compress a gas is work positive or negative?
 During compression volume change is negative
 Work and volume change have opposite signs!!
 𝑑𝑊 = 𝐹 × 𝑑𝑖𝑠𝑡𝑎𝑛𝑐𝑒 = −𝑃 𝐴
𝑑𝑉𝑡
𝐴
= −𝑃 𝑑𝑉𝑡
(applicable only for special processes)
13
Work depends on the path!
𝑊 = −
𝑉1
𝑡
𝑉2
𝑡
𝑃 𝑑𝑉𝑡
14
 Work is a path variable
Energy
15
 ∆𝐾. 𝐸. = ∆
𝑚 𝑢2
2
 ∆𝑃. 𝐸. = ∆ 𝑚𝑔ℎ this is potential energy due to gravity
 other forms such as potential energy due to configuration (example a compressed
spring) are also possible
 Energy resides in the system
 When work is done by the system on the surroundings (or vice-versa) energy is
transferred
Joule’s Experiments
16
 Relationship between heat and work
W
∆𝑇 > 0
Internal Energy
17
 Energy Stored in fluid
 Does NOT include macroscopic K.E and P.E
 Energy of molecules internal to the substances
 Total internal energy Ut is in kJ
 Molar internal energy U (kJ/kmol)
 U is an intensive property, Ut is an extensive property
Internal Energy
18
U
Molecular K.E
Translation, rotation, vibration of molecules
Molecular P.E
Intermolecular forces
Sub-molecular
bonding, electrons, nuclei etc.
 Can not be measured directly
 Change in U i.e. ∆𝑈 manifests in other forms
 ∆𝑈 is sufficient for thermodynamic analysis
Development of First Law
19
 Recall the example of conversion of work to heat due to
stirring
 Energy disappearing in one form appears in another
 Total of all energies is constant
∆ Energy of system + ∆ Energy of surroundings = constant
W
∆𝑇 > 0
First Law for Closed System
20
 Closed system: No transfer of matter across the boundary
System
Surroundings
 Energy transfers as heat or
work
 Q = heat added to the system
 W = work done on the system
 ∆ Energy of system = Q + W
W
Q
 ∆ Energy of surroundings = −Q − W
First Law for Closed System
21
System
Surroundings
For a closed system
∆ Energy of system = ∆𝑈𝑡
d𝑈𝑡
= dQ + dW
𝒅 𝒏𝑼 = 𝐝𝐐 + 𝐝𝐖
W
Q
∆ Energy of system = Q + W
U does not depend on path!
22
P1 : 1 bar
T1 : 27 oC
V1 : 10 lit
P2 : 0.5 bar
T2 : 327 oC
V1 : 10 lit
P1 : 1 bar
T2 : 327 oC
V3 : 5 lit
Isochoric
Isothermal
∆𝑄𝐴 , ∆𝑊𝐴
∆𝑄𝐵 , ∆𝑊𝐵
Isobaric
∆𝑄𝐶 , ∆𝑊𝐶
∆𝑄𝐴+ ∆𝑄𝐵 ≠ ∆𝑄𝐶 ∆𝑊𝐴+ ∆𝑊𝐵 ≠ ∆𝑊𝐶
∆𝑄𝐴+ ∆𝑊𝐴 + ∆𝑄𝐵+ ∆𝑊𝐵 = ∆𝑄𝐶+ ∆𝑊𝐶
∆𝑈𝐴+ ∆𝑈𝐵 = ∆𝑈𝐶 U depends only on the state!!

More Related Content

Similar to Lecture 2.pptx

Chap2a jan13
Chap2a jan13Chap2a jan13
Chap2a jan13
Kennie Raj
 
1st Lecture on Chemical Thermodynamics | Chemistry Part I | 12th Std
1st Lecture on Chemical Thermodynamics | Chemistry Part I | 12th Std1st Lecture on Chemical Thermodynamics | Chemistry Part I | 12th Std
1st Lecture on Chemical Thermodynamics | Chemistry Part I | 12th Std
Ansari Usama
 
Comrac thermodynamics and heat transfer.pdf
Comrac thermodynamics and heat transfer.pdfComrac thermodynamics and heat transfer.pdf
Comrac thermodynamics and heat transfer.pdf
JerlizjoyCasaba
 
First law of thermodynamics
First law of thermodynamicsFirst law of thermodynamics
First law of thermodynamics
MattSmith321834
 
thermodynamics tutorial.pptxyjhhjnnbhhbhh
thermodynamics tutorial.pptxyjhhjnnbhhbhhthermodynamics tutorial.pptxyjhhjnnbhhbhh
thermodynamics tutorial.pptxyjhhjnnbhhbhh
teddiyfentaw
 
ET QB UNIT 1.pdf
ET QB UNIT 1.pdfET QB UNIT 1.pdf
ET QB UNIT 1.pdf
RAMESHBABU725
 
ET QB UNIT 1.pdf
ET QB UNIT 1.pdfET QB UNIT 1.pdf
ET QB UNIT 1.pdf
RameshbabuRrb
 
ديناميكا نظري بارت1,.pdf
ديناميكا نظري بارت1,.pdfديناميكا نظري بارت1,.pdf
ديناميكا نظري بارت1,.pdf
sdsd116241
 
6.-Thermodynamics.pdf
6.-Thermodynamics.pdf6.-Thermodynamics.pdf
6.-Thermodynamics.pdf
HEMAMALINIKANASAN
 
Thermodynamic, part 1
Thermodynamic, part 1Thermodynamic, part 1
Heat and Thermodynamics cheat sheet
Heat and Thermodynamics cheat sheetHeat and Thermodynamics cheat sheet
Heat and Thermodynamics cheat sheet
Timothy Welsh
 
Unit 2.1 thm
Unit 2.1 thmUnit 2.1 thm
Unit 2.1 thm
MD ATEEQUE KHAN
 
Heat and thermodynamics - Preliminary / Dr. Mathivanan Velumani
Heat and thermodynamics -  Preliminary / Dr. Mathivanan VelumaniHeat and thermodynamics -  Preliminary / Dr. Mathivanan Velumani
Heat and thermodynamics - Preliminary / Dr. Mathivanan Velumani
Mathivanan Velumani
 
Clausius inequality and entropy
Clausius inequality and entropyClausius inequality and entropy
Clausius inequality and entropy
Nishant Narvekar
 
Ch 8 - Energy, Enthalpy, and Thermochemistry.pdf
Ch 8 - Energy, Enthalpy, and Thermochemistry.pdfCh 8 - Energy, Enthalpy, and Thermochemistry.pdf
Ch 8 - Energy, Enthalpy, and Thermochemistry.pdf
CharbelRahme2
 
Vapor absorption and vapor compression hvac refrigeration
Vapor absorption and vapor compression hvac refrigeration Vapor absorption and vapor compression hvac refrigeration
Vapor absorption and vapor compression hvac refrigeration
NIKHIL GUPTA
 
Thermodynamics Lecture
Thermodynamics LectureThermodynamics Lecture
Thermodynamics Lecture
BILAL ABDULLAH
 
The first law of thermodynamics
The first law of thermodynamicsThe first law of thermodynamics
The first law of thermodynamics
Dr. Tanuja Nautiyal
 
chapter07_1_0.ppt
chapter07_1_0.pptchapter07_1_0.ppt
chapter07_1_0.ppt
JeromeJavier8
 
Presentation chapter 11
Presentation chapter 11Presentation chapter 11
Presentation chapter 11
Muhammad Imtiaz
 

Similar to Lecture 2.pptx (20)

Chap2a jan13
Chap2a jan13Chap2a jan13
Chap2a jan13
 
1st Lecture on Chemical Thermodynamics | Chemistry Part I | 12th Std
1st Lecture on Chemical Thermodynamics | Chemistry Part I | 12th Std1st Lecture on Chemical Thermodynamics | Chemistry Part I | 12th Std
1st Lecture on Chemical Thermodynamics | Chemistry Part I | 12th Std
 
Comrac thermodynamics and heat transfer.pdf
Comrac thermodynamics and heat transfer.pdfComrac thermodynamics and heat transfer.pdf
Comrac thermodynamics and heat transfer.pdf
 
First law of thermodynamics
First law of thermodynamicsFirst law of thermodynamics
First law of thermodynamics
 
thermodynamics tutorial.pptxyjhhjnnbhhbhh
thermodynamics tutorial.pptxyjhhjnnbhhbhhthermodynamics tutorial.pptxyjhhjnnbhhbhh
thermodynamics tutorial.pptxyjhhjnnbhhbhh
 
ET QB UNIT 1.pdf
ET QB UNIT 1.pdfET QB UNIT 1.pdf
ET QB UNIT 1.pdf
 
ET QB UNIT 1.pdf
ET QB UNIT 1.pdfET QB UNIT 1.pdf
ET QB UNIT 1.pdf
 
ديناميكا نظري بارت1,.pdf
ديناميكا نظري بارت1,.pdfديناميكا نظري بارت1,.pdf
ديناميكا نظري بارت1,.pdf
 
6.-Thermodynamics.pdf
6.-Thermodynamics.pdf6.-Thermodynamics.pdf
6.-Thermodynamics.pdf
 
Thermodynamic, part 1
Thermodynamic, part 1Thermodynamic, part 1
Thermodynamic, part 1
 
Heat and Thermodynamics cheat sheet
Heat and Thermodynamics cheat sheetHeat and Thermodynamics cheat sheet
Heat and Thermodynamics cheat sheet
 
Unit 2.1 thm
Unit 2.1 thmUnit 2.1 thm
Unit 2.1 thm
 
Heat and thermodynamics - Preliminary / Dr. Mathivanan Velumani
Heat and thermodynamics -  Preliminary / Dr. Mathivanan VelumaniHeat and thermodynamics -  Preliminary / Dr. Mathivanan Velumani
Heat and thermodynamics - Preliminary / Dr. Mathivanan Velumani
 
Clausius inequality and entropy
Clausius inequality and entropyClausius inequality and entropy
Clausius inequality and entropy
 
Ch 8 - Energy, Enthalpy, and Thermochemistry.pdf
Ch 8 - Energy, Enthalpy, and Thermochemistry.pdfCh 8 - Energy, Enthalpy, and Thermochemistry.pdf
Ch 8 - Energy, Enthalpy, and Thermochemistry.pdf
 
Vapor absorption and vapor compression hvac refrigeration
Vapor absorption and vapor compression hvac refrigeration Vapor absorption and vapor compression hvac refrigeration
Vapor absorption and vapor compression hvac refrigeration
 
Thermodynamics Lecture
Thermodynamics LectureThermodynamics Lecture
Thermodynamics Lecture
 
The first law of thermodynamics
The first law of thermodynamicsThe first law of thermodynamics
The first law of thermodynamics
 
chapter07_1_0.ppt
chapter07_1_0.pptchapter07_1_0.ppt
chapter07_1_0.ppt
 
Presentation chapter 11
Presentation chapter 11Presentation chapter 11
Presentation chapter 11
 

Recently uploaded

一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
ecqow
 
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
sydezfe
 
ITSM Integration with MuleSoft.pptx
ITSM  Integration with MuleSoft.pptxITSM  Integration with MuleSoft.pptx
ITSM Integration with MuleSoft.pptx
VANDANAMOHANGOUDA
 
Blood finder application project report (1).pdf
Blood finder application project report (1).pdfBlood finder application project report (1).pdf
Blood finder application project report (1).pdf
Kamal Acharya
 
UNIT 4 LINEAR INTEGRATED CIRCUITS-DIGITAL ICS
UNIT 4 LINEAR INTEGRATED CIRCUITS-DIGITAL ICSUNIT 4 LINEAR INTEGRATED CIRCUITS-DIGITAL ICS
UNIT 4 LINEAR INTEGRATED CIRCUITS-DIGITAL ICS
vmspraneeth
 
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENTNATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
Addu25809
 
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
MadhavJungKarki
 
Zener Diode and its V-I Characteristics and Applications
Zener Diode and its V-I Characteristics and ApplicationsZener Diode and its V-I Characteristics and Applications
Zener Diode and its V-I Characteristics and Applications
Shiny Christobel
 
smart pill dispenser is designed to improve medication adherence and safety f...
smart pill dispenser is designed to improve medication adherence and safety f...smart pill dispenser is designed to improve medication adherence and safety f...
smart pill dispenser is designed to improve medication adherence and safety f...
um7474492
 
AI-Based Home Security System : Home security
AI-Based Home Security System : Home securityAI-Based Home Security System : Home security
AI-Based Home Security System : Home security
AIRCC Publishing Corporation
 
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan KOZAK
 
一比一原版(USF毕业证)旧金山大学毕业证如何办理
一比一原版(USF毕业证)旧金山大学毕业证如何办理一比一原版(USF毕业证)旧金山大学毕业证如何办理
一比一原版(USF毕业证)旧金山大学毕业证如何办理
uqyfuc
 
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx
SENTIMENT ANALYSIS ON PPT AND Project template_.pptxSENTIMENT ANALYSIS ON PPT AND Project template_.pptx
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx
b0754201
 
Object Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOADObject Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOAD
PreethaV16
 
SCALING OF MOS CIRCUITS m .pptx
SCALING OF MOS CIRCUITS m                 .pptxSCALING OF MOS CIRCUITS m                 .pptx
SCALING OF MOS CIRCUITS m .pptx
harshapolam10
 
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Transcat
 
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
ydzowc
 
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELDEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
ijaia
 
Data Driven Maintenance | UReason Webinar
Data Driven Maintenance | UReason WebinarData Driven Maintenance | UReason Webinar
Data Driven Maintenance | UReason Webinar
UReason
 
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
Paris Salesforce Developer Group
 

Recently uploaded (20)

一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
 
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
 
ITSM Integration with MuleSoft.pptx
ITSM  Integration with MuleSoft.pptxITSM  Integration with MuleSoft.pptx
ITSM Integration with MuleSoft.pptx
 
Blood finder application project report (1).pdf
Blood finder application project report (1).pdfBlood finder application project report (1).pdf
Blood finder application project report (1).pdf
 
UNIT 4 LINEAR INTEGRATED CIRCUITS-DIGITAL ICS
UNIT 4 LINEAR INTEGRATED CIRCUITS-DIGITAL ICSUNIT 4 LINEAR INTEGRATED CIRCUITS-DIGITAL ICS
UNIT 4 LINEAR INTEGRATED CIRCUITS-DIGITAL ICS
 
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENTNATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
 
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
1FIDIC-CONSTRUCTION-CONTRACT-2ND-ED-2017-RED-BOOK.pdf
 
Zener Diode and its V-I Characteristics and Applications
Zener Diode and its V-I Characteristics and ApplicationsZener Diode and its V-I Characteristics and Applications
Zener Diode and its V-I Characteristics and Applications
 
smart pill dispenser is designed to improve medication adherence and safety f...
smart pill dispenser is designed to improve medication adherence and safety f...smart pill dispenser is designed to improve medication adherence and safety f...
smart pill dispenser is designed to improve medication adherence and safety f...
 
AI-Based Home Security System : Home security
AI-Based Home Security System : Home securityAI-Based Home Security System : Home security
AI-Based Home Security System : Home security
 
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
 
一比一原版(USF毕业证)旧金山大学毕业证如何办理
一比一原版(USF毕业证)旧金山大学毕业证如何办理一比一原版(USF毕业证)旧金山大学毕业证如何办理
一比一原版(USF毕业证)旧金山大学毕业证如何办理
 
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx
SENTIMENT ANALYSIS ON PPT AND Project template_.pptxSENTIMENT ANALYSIS ON PPT AND Project template_.pptx
SENTIMENT ANALYSIS ON PPT AND Project template_.pptx
 
Object Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOADObject Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOAD
 
SCALING OF MOS CIRCUITS m .pptx
SCALING OF MOS CIRCUITS m                 .pptxSCALING OF MOS CIRCUITS m                 .pptx
SCALING OF MOS CIRCUITS m .pptx
 
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
 
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
 
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELDEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
 
Data Driven Maintenance | UReason Webinar
Data Driven Maintenance | UReason WebinarData Driven Maintenance | UReason Webinar
Data Driven Maintenance | UReason Webinar
 
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
 

Lecture 2.pptx

  • 1. The First Law of Thermodynamics 1
  • 2. Development of Thermodynamics  Based on general understanding of interconversion between heat and work, first and second laws were developed  They are postulates and no contrary experience observed so far  These laws were later developed into a network of equations  Have wide ranging application in all branches of engineering 2
  • 3. System and Surroundings  System: Body of matter that is of interest  Surroundings: Everything else  Universe: System + Surroundings 3 System Surroundings
  • 4. Size of a system  Size of the system: Expressed as mass (m), moles (n) or total volume (Vt)  𝑛 = 𝑚 𝑚𝑜𝑙𝑒𝑐𝑢𝑙𝑎𝑟 𝑤𝑒𝑖𝑔ℎ𝑡  Molecular weight or molar mass Molar mass of water : 18 4
  • 5. Density and Volume  𝑴𝒐𝒍𝒂𝒓 𝒗𝒐𝒍𝒖𝒎𝒆 𝑽 = 𝑽𝒕 𝒏 (SI Units: 𝒎𝟑 𝒌𝒎𝒐𝒍−𝟏 )  𝑆𝑝𝑒𝑐𝑖𝑓𝑖𝑐 𝑣𝑜𝑙𝑢𝑚𝑒 𝑉 = 𝑉𝑡 𝑚 (SI Units: 𝒎𝟑𝒌𝒈−𝟏)  𝑴𝒐𝒍𝒂𝒓 𝒅𝒆𝒏𝒔𝒊𝒕𝒚 𝝆 = 𝟏 𝒎𝒐𝒍𝒂𝒓 𝒗𝒐𝒍𝒖𝒎𝒆 (SI Units: 𝒌𝒎𝒐𝒍 𝒎−𝟑 )  𝑆𝑝𝑒𝑐𝑖𝑓𝑖𝑐 𝑑𝑒𝑛𝑠𝑖𝑡𝑦 𝜌 = 1 𝑠𝑝𝑒𝑐𝑖𝑓𝑖𝑐 𝑣𝑜𝑙𝑢𝑚𝑒 (SI Units: 𝒌𝒈 𝒎−𝟑 ) 5
  • 6. Extensive and Intensive Properties  Extensive Properties depend on the size (quantity) of the system  Intensive properties: Independent of the size  What is molar volume, V for the cases above? 6 n = 5 mol Vt = 100 lit n = 10 mol Vt = ? n = 10 mol Vt = 200 lit n = 10 mol Vt = 200 lit V=20 lit/mol n = 5 mol Vt = 100 lit V=20 lit/mol
  • 7. Extensive and Intensive Properties  Specific volume (m3/kg), molar or specific density are also intensive  Applicable only for systems where all physical properties are uniform throughout (homogeneous system)  In a two-phase system containing vapor and liquid, each phase will have different values of molar volumes (or densities). 7
  • 8. Temperature  Galileo (Early 1600’s): Thermoscope  Romer (early 1700’s) : Developed numerical scale  Farenheit (used Hg, 4 divisions per degree) 8
  • 9. Temperature  Celsius (1744) : Celsius scale  Amontons (early 1700’s) provided approximate estimate of absolute zero by observing PVT relationship of various gases  At this temperature, P → 0 (corresponding to the intercept)  Absolute temperature scales (Kelvin and Rankine) 9
  • 10. Temperature  Celsius (1744) : Celsius scale  Amontons (early 1700’s) provided approximate estimate of absolute zero by observing PVT relationship of various gases  At this temperature, P → 0 (corresponding to the intercept)  Absolute temperature scales (Kelvin) 10
  • 11. Temperature  Absolute temperature scale (Rankine)  Relationship between temperatures t ℉ = 1.8 t ℃ + 32 𝐓 °𝐑 = t ℉ + 459.67 𝐓 𝐊 = t ℃ + 273.15 𝐓 °𝐑 = 1.8 𝐓 𝐊  DIY: Convert 80 ℉ into the other three temperature scales 11
  • 12. Absolute Pressure  Pressure: Absolute and Gauge pressure 𝑃𝑎𝑏𝑠 = 𝑃 𝑔𝑎𝑢𝑔𝑒 + 𝑃𝑎𝑡𝑚  Recall conversions between various units for pressure Pa, psi, bar, atm, mmHg etc. 12
  • 13. Work  Work done on the system: Positive sign  When we compress a gas is work positive or negative?  During compression volume change is negative  Work and volume change have opposite signs!!  𝑑𝑊 = 𝐹 × 𝑑𝑖𝑠𝑡𝑎𝑛𝑐𝑒 = −𝑃 𝐴 𝑑𝑉𝑡 𝐴 = −𝑃 𝑑𝑉𝑡 (applicable only for special processes) 13
  • 14. Work depends on the path! 𝑊 = − 𝑉1 𝑡 𝑉2 𝑡 𝑃 𝑑𝑉𝑡 14  Work is a path variable
  • 15. Energy 15  ∆𝐾. 𝐸. = ∆ 𝑚 𝑢2 2  ∆𝑃. 𝐸. = ∆ 𝑚𝑔ℎ this is potential energy due to gravity  other forms such as potential energy due to configuration (example a compressed spring) are also possible  Energy resides in the system  When work is done by the system on the surroundings (or vice-versa) energy is transferred
  • 16. Joule’s Experiments 16  Relationship between heat and work W ∆𝑇 > 0
  • 17. Internal Energy 17  Energy Stored in fluid  Does NOT include macroscopic K.E and P.E  Energy of molecules internal to the substances  Total internal energy Ut is in kJ  Molar internal energy U (kJ/kmol)  U is an intensive property, Ut is an extensive property
  • 18. Internal Energy 18 U Molecular K.E Translation, rotation, vibration of molecules Molecular P.E Intermolecular forces Sub-molecular bonding, electrons, nuclei etc.  Can not be measured directly  Change in U i.e. ∆𝑈 manifests in other forms  ∆𝑈 is sufficient for thermodynamic analysis
  • 19. Development of First Law 19  Recall the example of conversion of work to heat due to stirring  Energy disappearing in one form appears in another  Total of all energies is constant ∆ Energy of system + ∆ Energy of surroundings = constant W ∆𝑇 > 0
  • 20. First Law for Closed System 20  Closed system: No transfer of matter across the boundary System Surroundings  Energy transfers as heat or work  Q = heat added to the system  W = work done on the system  ∆ Energy of system = Q + W W Q  ∆ Energy of surroundings = −Q − W
  • 21. First Law for Closed System 21 System Surroundings For a closed system ∆ Energy of system = ∆𝑈𝑡 d𝑈𝑡 = dQ + dW 𝒅 𝒏𝑼 = 𝐝𝐐 + 𝐝𝐖 W Q ∆ Energy of system = Q + W
  • 22. U does not depend on path! 22 P1 : 1 bar T1 : 27 oC V1 : 10 lit P2 : 0.5 bar T2 : 327 oC V1 : 10 lit P1 : 1 bar T2 : 327 oC V3 : 5 lit Isochoric Isothermal ∆𝑄𝐴 , ∆𝑊𝐴 ∆𝑄𝐵 , ∆𝑊𝐵 Isobaric ∆𝑄𝐶 , ∆𝑊𝐶 ∆𝑄𝐴+ ∆𝑄𝐵 ≠ ∆𝑄𝐶 ∆𝑊𝐴+ ∆𝑊𝐵 ≠ ∆𝑊𝐶 ∆𝑄𝐴+ ∆𝑊𝐴 + ∆𝑄𝐵+ ∆𝑊𝐵 = ∆𝑄𝐶+ ∆𝑊𝐶 ∆𝑈𝐴+ ∆𝑈𝐵 = ∆𝑈𝐶 U depends only on the state!!