This document outlines the lecture topics for an internal combustion engine and turbomachinery course. It includes the class policies, a weekly lecture outline, and introductions to key concepts like the Otto cycle, diesel cycle, gas turbines, and turbomachinery terminology. The lecture outline covers topics such as thermodynamic cycles, engine classifications, component design, and performance prediction. Definitions and diagrams are provided for critical turbomachinery elements like stages, velocity diagrams, and flow configurations. Challenges like compressor stall and surge are also discussed.
Gas turbine is an important topic usually studied in mechanical engineering, aeronautical engineering, power plant engineering, electrical engineering, and some other related engineering branches. The gas turbine is an air breathing heat engine, said to be the heart of the power plant produces electric power, by burning of gas (or) liquid fuels along with fresh air. The fresh air performs two main functions in gas turbine. The fresh air acts as a cooling agent for various parts of the power plants and gives required amount of oxygen for combustion of fuel. Topics covered in the ppt
Gas Turbines: Simple gas turbine plant- Ideal cycle, closed cycle and open cycle for gas turbines Efficiency, work ratio and optimum pressure ratio for simple gas turbine cycle Parameters of performance- Actual cycle, regeneration, Inter-cooling and reheating. the topics covered are almost same in all the universities. some problems were discussed in each and concept to make them understand clearly.
In the hydrocarbon processing and production industry, gas is compressed for transportation to consuming markets and for use in processing operations. This presentation is about the construction and operation of compressors.
In this presentation you will learn about the construction and operation of centrifugal compressors.
A steam turbine is a prime mover in which the potential energy of the steam is transformed into kinetic energy and later in its turn is transformed into the mechanical energy of rotation of the turbine shaft
Gas turbine is an important topic usually studied in mechanical engineering, aeronautical engineering, power plant engineering, electrical engineering, and some other related engineering branches. The gas turbine is an air breathing heat engine, said to be the heart of the power plant produces electric power, by burning of gas (or) liquid fuels along with fresh air. The fresh air performs two main functions in gas turbine. The fresh air acts as a cooling agent for various parts of the power plants and gives required amount of oxygen for combustion of fuel. Topics covered in the ppt
Gas Turbines: Simple gas turbine plant- Ideal cycle, closed cycle and open cycle for gas turbines Efficiency, work ratio and optimum pressure ratio for simple gas turbine cycle Parameters of performance- Actual cycle, regeneration, Inter-cooling and reheating. the topics covered are almost same in all the universities. some problems were discussed in each and concept to make them understand clearly.
In the hydrocarbon processing and production industry, gas is compressed for transportation to consuming markets and for use in processing operations. This presentation is about the construction and operation of compressors.
In this presentation you will learn about the construction and operation of centrifugal compressors.
A steam turbine is a prime mover in which the potential energy of the steam is transformed into kinetic energy and later in its turn is transformed into the mechanical energy of rotation of the turbine shaft
This compressor works on the principle of centrifugal action. It finds wide variety of applications in engineering field. It is available in market from low to high capacities.
Actual cycles for internal combustion engines differ from air-standard cycles in many respects.
Time loss factor.
Heat loss factor.
Exhaust blow down factor.
This compressor works on the principle of centrifugal action. It finds wide variety of applications in engineering field. It is available in market from low to high capacities.
Actual cycles for internal combustion engines differ from air-standard cycles in many respects.
Time loss factor.
Heat loss factor.
Exhaust blow down factor.
Engineering webinar material dealing with simple and basic Brayton Cycle and power cycle components/processes and their T - s diagrams, ideal and real operation and major performance trends when air is considered as the working fluid.
Engineering webinar material dealing with power cycles (Carnot, Brayton, Otto and Diesel), power cycle components/processes (compression, combustion and expansion) and compressible flow (nozzle, diffuser and thrust) when air is considered as the working fluid.
Engineering webinar material dealing with power cycles (Carnot, Brayton, Otto and Diesel), power cycle components/processes (compression, combustion and expansion) and compressible flow (nozzle, diffuser and thrust) when air, argon, helium and nitrogen are considered as the working fluid.
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.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
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.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
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.
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.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
2. Policy and Outline
Class policy
Mandatory attendance unless specially approved
No late homework
No makeup test/exams
Test schedule
Floating within 2 weeks
3. Lecture Outline
1. Introduction to Internal Combustion Engine
2. Introduction to Gas Turbine Engine
• Definition and Applications
• Thermal Cycles
• Applications
• Illustrations
1. Introduction to Turbomachinery Terms
• Definition and classifications
• Coordination systems and velocity diagrams
• Variables and geometry
4. Lecture Outline
4. Review of Aerodynamics and Fluidics
• Conservation: Mass, energy and Momentum
• Gas Dynamics: Compressible flow
4. Dimensionless Analysis
• Off Design Performance and specific speed
• Buckingham P-Theorem
• Application in Turbomachinery
5. Lecture Outline
6. Energy transfer between fluid and a rotor
• Euler’s Equation
• Energy Transfer and velocity diagram
• Reaction – Definition
• Definition of total relative properties
6. Radial Equilibrium Theory
• Derivation of Radial Equilibrium Equation
• Free vertex
• Problem
22. Otto Cycle Derivation
Thermal Efficiency:
= 1 - Q
Q
= Q - Q
H L
Q
L
H
H
th h
Air standard assumption (constant v + q)
Qin = m Cv T D
Cold-air standard assumption (constant c)
ö çè
T T
4
- 1
T
ö çè
÷ø
æ
÷ø
æ
T T
3
-1
T
= 1-
= 1 - m C v (T 4 - T 1
)
m C (T - T )
2
2
1
1
v 3 2
th h
Q = m Cv DT Rej
23. Otto Cycle Derivation
For an isentropic compression (and expansion)
process:
æ g æ
g
= V
= V
T
ö
2 ÷ ÷ø
1
where: γ = Cp/Cv
Then, by transposing,
= T
T
V
V
T
3
4
4
3
-1
2
-1
1
ö
ç çè
÷÷ø
ççè
= T
T
T
T
4
1
3
2
= 1- T
T
1
2
th Leading to h
24. Otto Cycle Derivation
The compression ratio (rv) is a volume ratio and is
equal to the expansion ratio in an otto cycle
engine.
Compression Ratio
= V
V
V
r = V
4
3
1
2
v
r = v
s
+ 1
v
= v + v
s cc
v
= Total volume r
Clearance volume
cc
v
cc
v
where Compression ratio is defined as
25. Otto Cycle Derivation
Then by substitution,
g
-
1
æ g
-
÷÷øö
1 1
= ( r )
= V
T
V
T
v
2
1
2
ççè
The air standard thermal efficiency of the Otto cycle
then becomes:
) = 1 - 1 = 1 - ( r -1
( r v
)
1-
h g
th v g
26. Summarizing
= 1 - Q
th h Q = m Cv DT
Q
= Q - Q
H L
Q
L
H
H
ö çè
T T
4
- 1
T
ö çè
÷ø
æ
÷ø
æ
T T
3
-1
T
= 1-
2
2
1
1
th h
ö
æ
T
3
= T
T
2
T 1-
1 g
= ( r )
= V
T
V
v
2
1
1-
2
g
÷÷ø
ççè
T
4
1
T th h = -
1 1
T
) = 1 - 1 = 1 - ( r -1
( r v
)
1-
h g
th v g
2
where
and then
Isentropic
behavior
Otto Cycle Derivation
27. Otto Cycle P & T Prediction
Determine the temperatures and pressures at each point in
the Otto cycle. k=1.4
Compression ratio = 9:1
T1 temperature = 25oc = 298ok
Qin heat add in = 850 kj/kg
P1 pressure = 101 kPa
T2 = 717 p2 = 2189kpa
T3 = 1690k p3 = 5160kpa cv=1.205
T4 = 701k p4 =238kpa
29. Diesel Cycle Derivation
Thermal Efficiency (Diesel):
= 1 - Q
Q
= Q - Q
H L
Q
L
H
H
th h
For a constant pressure heat
addition process;
Q = m Cp DT
For a constant volume heat
rejection process;
Q = m Cv DT
Assuming constant specific heat:
ö çè
T T
4
- 1
T
h where: γ = Cp/Cv
ö çè
÷ø
æ
÷ø
æ
T T
3
-1
T
= 1 -
= 1 - m C v (T 4 - T 1
)
m C (T - T )
2
2
1
1
p 3 2
th
g
30. Diesel Cycle Derivation
For an isentropic compression (and expansion) process:
æ g g
= V
T
ö
æ
ö
2 ÷ ÷ø
V
T
1
ççè
However, in a Diesel
= T
T
V
V
3
4
4
3
-1
1
2
-1
ç çè
÷÷ø
V
V
V = V V
1 4 ¹
V
4
3
1
2
The compression ratio (rv) is a volume ratio and, in a diesel, is
equal to the product of the constant pressure expansion and
the expansion from cut-off.
31. Compression Ratio
V
V
r = V
vc ¹
V
4
3
1
2
Then by substitution,
V
v
r = r r = V
vc cp e · ·
V
3
4
2
3
ö
æ
T 1-
1 g
= ( r )
( )
ù
ú úû
é
( r -1)
ê êë
r - 1
= V
T
2
= 1 - 1
th g
( r )
cp
cp
-1
v
h
g
g
V
v
1
1-
2
g
÷÷ø
ççè
Diesel Cycle Derivation
32. Diesel Cycle P & T Prediction
Determine the temperatures and pressures
at each point in the Diesel Cycle
Compression Ratio = 20:1
Cut off ratio = 2:1
T1 temperature = 25oC = 298oK
Qin Heat added = 1300 kJ/kg
P1 pressure = 100 kPa
35. Dual Cycle Efficiency
Dual Cycle Thermal Efficiency
Qin = m Cv (T 2.5 - T 2 ) + m Cp (T3 - T 2.5 )
g g
h a b
V
3
V
2.5
= 1 - 1
ö çè
= P
é
a 3 b =
P
2
ù
úû
êë
÷ø
æ
- 1
( -1) + ( -1)
CR
( -1)
a ga b
where: γ = Cp/Cv
( ) Rej 4 1 Q = m Cv T -T
36. Diesel Cycle Derivation
Critical Relationships in the process include
ö
æ
T 1-
1 g
= ( r )
= V
T
V
v
2
1
1-
2
g
÷÷ø
ççè
F = m
Q
A
Q
cycle
æ
= V
P
ö
2 g
a fuel
= (r )
V
P
v
1
2
1
g
÷÷ø
ççè
Q = m Cp DT Q = m Cv DT
( )
ù
ú úû
é
( r -1)
ê êë
r - 1
= 1 - 1
th g
( r )
cp
cp
-1
v
h
g
g
37. Design Issue
Improve efficiency
Higher compression ratio
Combustion control
Ignition timing
Exhaust recuperate
Minimize shaking force/torque
Lubrication
Pollution control
Cost deduction – short stroke engine
38. MCHE 569 Project 1
Given a single cylinder internal combustion engine,
r=2.6”, l=10.4”, m2=0.060 blob,
rG2=0.4r, m3=0.12, rG3=0.36l,
m4=0.16blob. Piston dia. is 5.18”.
The crank rotates at 1850 rpm.
Compression ratio is 8:1.
Thermal condition:
T1 = 20 deg. C, P1 = 101kpa, Qin = 810 kJ/kg
Calculate in Excel:
Thermal condition of all 4 stroke
Thermal efficiency
Gas force
Gas torque
When theta = 0, 90, 180, 270, …720 calculate shaking force and torque
Gas-fuel mixture mass flow rate
If mass ratio of the mixture is 4 part air vs. 1 part fuel, calculate fuel consumption rate, and volumetric air
flow rate.
39. Gas Turbines - Definition
Definitions
Thermal energy conversion device
Fuel -> mechanical/electrical power
Fuel -> Propulsion
Difference from ICE
Absence of Reciprocating and Rubbing
Members
Power/Weight ration
40. Gas Turbine – Components
Frame
Casing
Front / main
Gas generator
Compressor – rotor/stator
Combustor
Power conversion
Turbine – rotor /stator/ exhaust
41. Gas Turbine / ICE
Higher Efficiency,
High power/weight
Robust Combustion/Insensitive to fuel
condition
Minimum Power output
Complexity/Maintenance
Higher Cost
42. Application of Turbine
Power Generation
Lycoming TF-35
Garrett’s GTCP660 Auxiliary Power Unit
Propulsion
Turbojet: GE J85-21 (F-5E/F) ; CJ610
Turbofan: Garatte F-109 (T-46 Twin-Shaft)
Turboprop Garret’s TPE331-14
43. Turbine Configuration
Shaft arrangement
Single: Fix speed and load
Twin/Triple shafting
HPT drives compressor and LPT not need for gear
reducer
High efficiency at variable speed
High reliability at variable power
Multiple coaxial shaftes
Complex control, high efficiency with more flexibility
44. Ch 2. Terminology of Turbomachinery
Critical, challenging and special design
problem for turbomachinery is with blades.
Definition of turbomachines
Energy conversion device
Continues flow
Dynamics acting
Rotating blade rows
45. Classification of Turbomachine
By function
Work absorber - Compressors, fans and pumps
Worker - Turbines
By fluid
Compressible
Incompressible
By meridional flow path
Axial
Radial
46. Stage
Definition -- Stator and rotor pair
Stator
Convert fluid thermal to fluid kinetic energy
No energy transfer to or from blade
Rotor
Energy transfer from or to the fluid -- fluid total
energy change
47. Coordinate System and Velocity Diagram
Coordination system
Polar cylindrical system
Radial – r, tangential θ, axial – z
Velocity diagram
Total (absolute) velocity -- V
Relative (fluid flow vs. blade) -- W
Blade velocity due to rotation – U
1 – inlet, 2 -- exit
V=W+U
48. Blade VD
Stator
U = 0
V = W
Rotor
V=W+U
Impeller
Compressor and turbine VD are reversed
Subscription convention Vr1 , …
49. Axial Flow Turbine
Sign convention
Positive if along the rotation
How to determine fluid acting surface
Turbine – Fluid acting on the convex side of
blade airfoil
Compressor – Concave side
50. Comparison Between Axial and Radial
Flow Turbine
Signal stage efficiency
Radial is higher
Loss between stages
Radial is higher
Way to improve efficiency
Radial – make the diameter of the rotor larger
Axial – add stages
51. Compressor Stall, Surge
Stall
In axial compressors, gas density/pressure, sometime even
temperature, may change sharply in certain stage
Low-speed, low-flow, high stagger, stall is imperceptible,
and recoverable
Surge
Domino stalls occur from last stage in high speed
compressor
Non-recoverable, cause temperature rise, significantly
reduce the performance of the compressor, and often end
up with blade damage
52. Turbine Choke / Blade Cooling
Choke / shock
Relative velocity become supersonic
Blade
High temperature alloy
Intensive cooling
Current technology – turbine temperature can be
25% high than the melting point of the blade
53. Variable Geometry in Compressor
and Turbine
Power = pressure * volume flow rate
Recover from surge in compressor
Startup – ignition – surge
Squeeze stall out
Different turbine work at different design point
Keep pressure the same, reduce flow channel cross-section
area reduces volume flow rate reduce power
and mass flow rate to maintain the pressure and less
mass flow burn less fuel
54. Ch3. Aerodynamics of Flow Processes
General flow governing equation
Total properties
Ideal gas isentropic properties
Sonic speed and mach numbers
Mach number expressed relations
Isentropic relation in term of local mach
Critical velocity and critical properties
Isentropic relation in term of critical mach
55. Continue
Compressible flow in isentropic nozzle
Varying-area equation
DeLaval nozzle - CD nozzle
Unfavorable back pressure gradient
Other important relations for nozzle
Choking flow
Shock equations
56. Continue Outline
Definition of turbomachinery isentropic
efficiency
Total-total efficiency
Compressor
Turbine
Total-static efficiency
Total condition of an incompressible flow
Limitation of Bernoulli's equation
57. General Flow Governing Equation
Continuity equation
m = ×V A = ×V A = const 1 1 1 2 2 2 r r
Linear momentum equation
Energy equation
q w h h V V g Z Z
+ = - + - + -
( ) 1
( ) ( )
shaft
+ = - + - + -
[( ) ( ) ( )]
2 1
2
1
2
1
2 2
2 1
2 1
2
1
2
2 2
2 1
Q W m h h V V g Z Z
Shaft
( ) ( ) x 2x 1x y 2 y 1y F = m × V - V F = m × V - V
58. Total Properties
Isentropically convert all energy into enthalpy
Total/Stagnational, local/static
= + 2 +
h ( h ) 1
V gZ
t
2
= =
h c T h c T
t p t p
P P
r rt
t
59. Ideal gas isentropic relations
State
equation and
Constants
Entropy
change of a
process
Isentropic
process
p = RT R =
J
kg K
for compressor
for turbine
1.4
1.33
287
g
=
g
=
r
g
c = × R c = × R
g - g -
D = × -
P
P v
s c T
R
ln( 2
) ln( 2
) 1
1
1
1
1
P
T
P
g g
1
T
2
1
r
2
1
P
2
1
-
ö
÷ ÷ø
æ
= ÷ ÷ø
ç çè
ö
æ
=
ç çè
g
r
T
P
60. Ideal Gas Adiabatic Relations
Adiabatic means Tt = const.
s R P
T
g
/ ln
ö
æ
ö
2
æ
ö
æ
ö
æ
P
2
æ D -
T
2
P
s
t
q e P
2
2
2
t
g
Adiabatic process is a better assumption for all
stationary turbo components
÷ ÷ø
ç çè
÷ ÷ø
ç çè
= =
÷ ÷ø
ç çè
- = D ÷ ÷ø
ç çè
=
-
÷ ÷ø ö
ç çè
-
1
1
1
1
1
1
1
1
/
T
P
P
T
P
P
cP
t
t
g
g
61. Sonic Speed and Mach Number
Sonic speed
a dp g
Mach Number
RT
= =
d
r
M = V
a
62. Isentropic Relations in Term of Mach
Total to local
g
çè
2
ö g
g
-
ö çè
2 1
1
1
M
çè
2
ö 1 1
2
1 1
2
1 1
2
-
÷ø
T
P
t
r
=æ + -
÷ø
=æ + -
÷ø
=æ + -
g
g
r
g
M
P
M
T
t
t
63. Critical Property
The local condition at
unity mach
ö
æ
+
cr t cr cr t T T V a R ×T
Critical mach
g
+
= = × ÷ ÷ø
ç çè
=
1
2
1
2
g
g
)
M V
cr g
× + -
2 M 2
(1 1
1
2
2
1
M
R T
t
+
=
×
+
=
g
g g
64. Isentropic Flow in Critical Mach
2
g
g
-
ö
ö
2 1
1
1
2
æ
= - g
-
1 1
T T M
t cr
1
æ
g
= - g
-
1 1
P P M
t cr
1
æ
g
r r g
= - -
1 1
t cr
1
-
ö
÷ ÷ø
ç çè
+
÷ ÷ø
ç çè
+
÷ ÷ø
ç çè
+
g
g
M
65. Isentropic Flow in Varying Nozzle
To increase the speed of fluid
Converging the subsonic flow
Diverging the supersonic flow
g
+
1
2( 1)
g M
1`
-
2
2
2
1
A
*
ö
æ + =
1 1 -
+
÷ ÷ø
ç çè
g
g
A M
66. Nozzles in turbomachinery
The most important feature
Diffuser must be carefully designed so that
the flow remains attached to the wall
Unfavorable pressure gradient makes the
design curve of diffuser
78. Definition of Turbomachinery Efficiency
Total-to-total
efficiency
Compressor
Turbine
1
1
= D
h
( )
t ideal
( )
1
2
1
1
2
g
- ÷ø ö
çè æ
- ÷ø ö
çè æ
=
D
-
-
t
t
t
t
t actual
t t
T
T
P
P
h
g
h
1
1
h
= ( D )
- -
h
t actual
g ( )
1
1
2
1
2
- ÷ø ö
çè æ
- ÷ø ö
çè æ
=
D
g
t
t
t
t
t ideal
t t
P
P
T
T
h
79. Turbine Efficiency
Total-to-static
Efficiency –
use in
applications
where exhaust
is counted as
waste, such as
power plant
h
= D
- -
ù
g
( g
-
1
2 ) 1
1 2
( )
é
2 2
P P
1
2
2 2
2
1
1
2
1
,
1
(1 )
1
1
g
-
+
-
= -
+
=
ú ú
û
ê ê
ë
÷ø ö
çè æ
-
-
g
g
g
g
g
g
h
t cr
t
t
P t
t actual
t s turbine
P M
M
P
c T P
80. Compressibility and Bernoulli
Equation
Error of Bernoulli when used in compressible flow
é
g
- = æ + - -
1 1 1
ö çè
M<= 0.3 incompressible
...
2 1
M
4 40 1600
1
ù
1
2
2 4 6
2
2
2
= + + + +
ú ú
û
ê ê
ë
- ÷ø
M M M
M
P P
t
V
g
r
g
g
81. Chapter 4
Dimensional analysis
Buckingham Π-Theorem
Off-design performance of gas turbine
Dimensional analysis in turbomachinery
Specific speed
82. Dimensional Analysis
Buckingham π-theorem
Select all related as a set of n variables
Determine k (either MLT 3, or MLTt 4)
Select k most important variables as the central
group
Multiply each of the rest n-k variables to solve for
n-k πs
Set up the system of equation
Arbitrarily set one variable’s exponential as unity
Solve the rest exponentials
83. Application to Turbomachinery
Geometric similarity
Dimensional proportional
Dynamical similarity
Geometrical similar machines with each velocity
vector parallel
Similarity principle
Geometrically similar
Non-dimensional term/number identical
84. Performance Characteristic
Head coefficient
Head efficiency
f Q
gH
y r
,
f Q
gH
h r
Power coefficient
ö
ö
÷ ÷ø
æ
æ
,
f Q
act
P P
h r
ç çè
æ
= = =
÷ ÷ø
ç çè
= =
ö
÷ ÷ø
ç çè
= =
m
m
m
2
3
2
3
2
2 3
ˆ ,
ND
ND
o
P
ND
ND
gH
ND
ND
U
i
P
ideal
H
85. Compressible-flow Turbomachine
æ
m RT
f
t in
ND
Pr, , t
, ,Re,
Pr : Total - to -Total Pressure ratio
: Total - to total efficiency
ö
: Total temperature change vs. inlet total temperature
h
t t
t
R : Gas constant
: ratio of specific heat of the gas mixture
g
Compressor 1.4
Turbine 1.33
,
, ,
2
,
,
=
=
D
÷ ÷
ø
ç ç
è
D =
-
-
g
g
h g
t in
t in t in
t in
t t
T
T
RT
D P
T
T
86. Another Function and More Terms
æ
m T
f
t ,
in
h
Pr, , ,
N
, ,
,
P
t
T
t
t
ö
: Standard atmosphere temperature, i.e. 298K
: Standard atmosphere pressure, 101 kPa
T
STP
STP
STP
STP
t in t in
t in
t t
P
P
T
T
P
T
T
= =
÷ ÷
ø
ç ç
è
D =
-
q d
87. Map and Characteristics
Turbine or compressor map – the plot
Characteristic – the curves in the plot
Design point of compressor is close to surge
Design point for turbine is close to choke
88. Specific Speed – Incompressible
N Q
4
(gH)3
Ns =
It was experimentally verified that certain
type of turbomachinery (axial, radial,
mixture) gives highest possible performance
(efficiency) over certain range of specific
speed value
89. Specific Speed - Compressible
N Q
ex
Qex is the volumetric flow rate at stage exit, which is
not the same as that at the inlet due compressible
flow
is the idea specific work extracted from or to
the turbomachine
4
( h
)3 t ,ideal
Ns
D
=
t ideal h , D
90. Ch5. Euler’s Equation
Energy transfer between fluid and rotors
Force/torque generated through momentum
change
Energy transfer happens while these force/torque
do works
91. Momentum Change at All Directions
Axial velocity change
Axial load on to the shaft – no works
Radial velocity change
Radial load bending moment vibration
Destructive works
Both of above should be minimized
Tangential direction – effective works
92. Euler’s Equation
Torque
Power
Specific work
m r V rV
= -
( )
q q
2 2 1 1
P = = m U V -
U V
( )
q q
2 2 1 1
q q
tw
2 2 1 1
t
p = U V -
U V
93. Component of Energy Transfer
Typical velocity
diagram
Vz1 = Vz2 = const
V Vz z
W - ( U - V )
= V -
V
q q
W - ( V - U )
= V -
V
q q
W - ( U + V - 2 U V )
= V -
V
q q q
U V = V + U -
W
( ) ( ) ( )
2
2
2
1
2
2
2
2
2
1
2
2
2
1
q
1 1 2 2
2
2
2
2
2
2
2 2
2
2
2
2 2 2
2
2
2
2
2
2
2
1
2
1
2
1 1
2
1
2
2
2
2
2
2 2
2
2
2
2
2
1
U V - U V = V - V + U - U + W -
W
=
q q
94. Heads
Dynamic Head (Absolute V)
Total kinetic energy lost/gain in fluid flow
Effective shaft works
Convective Head (U)
Annual expansion/shrinkage
Small
Static Head (relative W)
Action of fluid flow to stages
95. Enthalpy Across A Stage
Absolute
Relative
Rothalpy
g
-
T T M M
= + =
(1 )
g
-
T T M M
= + =
(1 )
Ts Local Static temperature
h = c T -
absolute total
t p t
h = c T -
relative total
t r p t r
I h UV Rothalpy
t
a W
t r s r
V
a
t s
r
= - -
q
, ,
2
2
1
,
2
2
1
: ( )
96. Reaction
Definition
2
1
2
2
2
2
2
1
R = U - U + W -
W
( ) ( )
2
1
2
2
2
2
2
1
2
2
2
1
V - V + U - U + W -
W
( ) ( ) ( )
2
2
2
1
2
1
2
2
Turbine
R = U - U + W -
W
( ) ( )
2
2
2
1
2
1
2
2
2
1
2
2
V V U U W W
( ) ( ) ( )
Compressor
- + - + -
97. Stage Blade Design vs. Reaction
Inlet and exit angles for stator
α0, α1
Inlet and exit angles for rotor
β0, β1
Deviation angle
difference of flow and metal
Swirl angle
local absolute angles
99. Incidence and Deviation Angles
Incidence angle
Flow angle to leading edge metal angle
Always exists like attacking angle
Positive or negative
Deviation angle
Insufficient flow momentum change
A very important controlled feature in compressor
A measure to adverse/unfavorable pressure gradient
100. Real-life Flow path in Axial Turbo
Explain with isentropic and γ / (γ-1)>>1
Total pressure drop much faster than temperature
Total density decrease across rotor
If Mach change over rotor is neglected,
Static density decreases across the rotor
To keep Vz constant, the annular cross area
Decreasing for compressor
Increasing for turbine
Flow passage over stator, due to significant M increase
Converging for compressor
Diverging for Turbine
101. Definition of Total Relative Properties in
the Rotor Sub-domain
Relative properties can be modeled as flow through nozzle
at speed W across
T const across rotor
1
T T W
M
c
W
RT
W
W
cr tr
T T M T M
g
-
g
-
= + =
= =
g
g
= - = -
tr t
g
g
r cr
P = P - M = P -
M
g
g
- -
1
2
2 1
-
1
(1 ) (1 )
2 1
-
1
(1 ) (1 )
g
-
tr r cr
t
2 1
1
1
,
g
1 1
,
,
1
2
2
g
-
1
(1 ) (1 )
1
1
2
1
1
2
1
1
,
,
2
- -
+
+
+
+
+
+
+
= - = -
g g
g
g
g
g
g
g
g
r r M r M
tr t
r cr
t r
p
tr s
r cr
102. Continue
General term
Isentropic – Total
relative pressure is
constant across rotor
Other process total
relative pressure
decrease
2
T =
T
tr tr
1 2
P
t
( 2
) 1
1
1
2
1
g
-
=
g
T
t
t
t
T
P
P
tr
P
tr
104. Ch6 Radial Equilibrium Theory
Background
Study for thermal properties as traverses a stage
Pitch line analysis
How properties (except U) vary at a given axial location
Assumption – axi-symmetric flow
Note – Wake at gap is negligible
The Problem
Find the relationship among fluid properties, annual
geometry, and velocity
105. Derivation
Pressure force, and
mass of the differential
control elements
F p dp r dr d
top
= - + +
( )( )
F prd
dp dr d
under
=
F p r
side
= + +
2( )( )sin( )
2 2 2
F = F + F + F = r × dp ×
d
p top under side
[ ] r q
r p p q
p
q
q
q
q
m = r + dr - r d =
rdrd
2
( )
2 2
106. Acceleration
Centrifigal
a V
Centrifigal
Meridional curvature
a V
m
Convective sin( )
cos( )
2
2
convective m m
m
m
meridional centrifigal
a V
r
r
a
a
q
=
=
=
-
107. Radial Equilibrium Theory
F=ma
a a a
= + + -
Centrifigal meridional centrifigal convective
× × = - -
cos( ) sin( )
2 2
V
2 2
V
q
V
F
dm
r dp d
dp
V
m
1 = q
- m
cos( ) -
sin( ) ( )
2 2
V
V
dp
1 m
cos( ) V sin( ) ( Converging
)
r
r
dr
V diverging
r
r
dr
V
r
r
rdrd
m m m
m
m m m
m
m m m
m
a a
r
a a
r
a a
r q
q
q
= + +
108. Simplified cases
Vm = const
Vr=0
Invoke
total
enthalpy
1 dp V
2 q
r
r
dr
=
2 2 1
h h c T V V V V
= + = + + = + +
( ) ( )
1
+
meridional centrifigal convective
dV
dV
V V
= + + -
t z
( )
q
g
-
p dp
= Û - = Û =
g g
g
= + + -
V
r
dV
q
dV
dr
const
dV
V V
t z
dV
dr
dh
dh
dh
dr z
p d
r r r
dp
p
dr
2
0
p
dp
d
dp
dr
dr
dr
dr z
dp
dr
d
dr p
dr
dr
dr
dr
dr
dr
dr z
p
p z z
V
t
V V
a
t z
2
2
2
r
( 1
)
1
1
1
1
g
1
2 2
2
2
2
q q
q
g
g r r
q
g
r r
r
g r r
q
g r
q q
= + +
-
-
-
109. Continue Simplification
dVz / dr = 0 dht / dr = 0
Free Vertex
0 = 0
+ +
2 V
dV
dV
Nature fluid flow
Flow vorticity – flow particles spinning around
its own axis
Least vorticity in free vortex flow
Free vortex blade design is most desired in
aerodynamics, but unrealistic
Disadvantage in structural design and
manufacturing
Boundary layer and tip leakage cancel the idea
effect of free-vortex
V
rV const
V
r
dr
r
dr
= - Û =
q
q
q q
q q
110. Chapter 7 Axial Flow Turbine
Steam Turbine
Superheated Region
Wet Mixture Region
Gas Turbine
Similar to superheat steam turbine
High temperature alloy
Basic gas turbine design process
111. Stage Definition
Stator followed by rotor
Stator airfoil cascades – vanes
Rotor airfoil cascades – blades
Design process
Preliminary phases
Compressor/combustor exit, inlet path/nozzle,
Stage 1,2,3,4, Casing, pitch line, interstage axial gap
Detailed phases
Blade geometry design
Real flow effects
Empirical equation
Stacking vanes and blade sections
CAD Approach to axial turbine
112. Preliminary Design of Axial-Flow Turbines
Given conditions
Turbine inlet conditions (p, t,α,β)
Rotary speed
min. tip clearance,
max tip Mach
Envelope radial constrains (casing), max axial
length, max diverging angle
Interstage Tt, max exit flow rate (A*N^2), Mach
Other, (such as overall efficiency, etc.)
113. Preliminary Design -- Find
Meridional flow path
Flow condition along pitch line
Hub and tip velocity diagram (assuming free-vortex
stages)
114. Design Processes
Step 1 -- Justify axial turbine type
Ns = N*Q^0.5/(Δht)^0.75 > = 0.775
Δht is enthalpy change over a single stage, you change the number of stages
to make the Ns to be optimum (usually “1”)
Step 2 –Split work across turbine individual stages (Δht1, Δht2…),
according to experience
Efficiency
Off-design, and operation conditions usually 60:40, 55:45,50:50
Step 3 According to the experienced work split, and efficiency, determine
interstage total condition
Too small axial gap triggers strong and dangerous flow interaction
Too large axial gap increases end-wall friction loss
Stator/rotor gap is more critical that interstage because large swirl velocity
115. Formulating an Simplified Approach
Calculate specific speed
Find optimum number of stage
Estimate turbine efficiency
Define a stage work coefficient
c T
= = D = - = - = -
W W
V V
U V V
( ) 1 2 1 2 )
W
y s p t
q 1 q 2
q q q q
2 2
2
y = V
b -
b
(tan tan ) 1 2
U
Define Flow coefficient
U
U
U
U
U
z
Vz
f
= U
= -
(tan tan ) 1 2 y f b b
116. Coefficient Design-1
V - V = W - W =
U
q q q q
W - W = W + W - W - W = W -
W
Z Z
q q q q
2
1
1 2 1 2
2
1
W W
= +
q q
W W
= -
q q
-
R W W
-
= -
2 ( ) 2 ( ) 2
q q
(tan tan )
2
q q
W q = W q
= W =
V
b b
tan tan
2
2
(tan tan )
R V
2
1 2 1 2
1
1
1 2
1 2
2
2
1 2
2
2
2
1
2
2
2 2
1
2 2
2
2
1
2
2
b b f b b
= + = +
U
U
U W W
U V V
z
z z
117. Coefficient Design-2
f b b
= +
(tan tan )
2
1 2
tan = tan +
1
f
2 2
a b
f
a b
tan 1
= -
R
( 2 )
2
tan 1
y
f
b
y
f
b
y f b b
tan tan 1
( 2 )
2
(tan tan )
1 1
2
1
1 2
= +
ì
ï ïî
ï ïí
= - +
Û
ïî
ïí ì
= -
R
R
118. Example 7-1
Flow inlet angle 0
Mass flow rate m 20kg/s
³
Stage efficiency 90%
Inlet total temperature 1100 K
Inlet total pressure 4 bars
Total Pressure ration 1.873
Rotational speed 15000 rpm
£
=
=
Mean blade speed 340 /
Stage work coefficient ( h
t
= = -
Assume 1.333, R 287 /
Find one stage turbine
m s
kJ kg K
-
D £
:
) 1.5
U
Given :
gas
2
0
g
a
119. Solution
Calculate specific speed
As a rule of thumb, you may assume the density
of the fluid is 1kg/m^3
It may invoke too much error if calculate
isentropic process, why? -- rotor
This is just an initial calculation, so it is not wise
to spend too much time and effort to make your
result very accurate
120. Step 1.
From density; mass flow rate volumetric flow rate
From inlet total temperature; inlet/exit total pressure
ratio outlet temperature assuming isentropic
process
Inlet/exit temperature and Cp total enthalpy
change over the turbine stages
Calculate Ns using N*Qex^1/2 / (Δht)^0.75
Increase number of stages to make Ns per each stage
to be > 0.775
121. Design the stages
ψ
Cp T
=D = ´D
t t
2 2
D = - = - = -
P
T
U
h
U
t
t
ö
æ
g
ö
æ
,2
,2
U use the given m s
T
t
,2
One stage may be fine
¬
g
Cp R
P
T
T
T T T T T T
t
tt
t
t
t t t t t t
-
=
1
= ----
÷ ÷ ÷
ø
ç ç ç
è
÷ ÷ø
ç çè
- = -
-
1.427
340 /
1 1
(1 )
1
1 ,
1 ,
1 ,
,0 ,2 ,1 ,2 ,1
y
g
h
y
g
122. Φ
Use Φ and α2 to set R close to 0.5
ì
tan 1
= -
R
1 y
f
b
( 2 )
2
Try α2 = 0 R=?
and α2 =-15 R=?
ì
ï ïî
ï ïí
tan 1
= - +
y
f
( 2 )
2
= +
ï ïî
ï ïí
= +
f
b
2
a b
f
a b
tan tan 1
tan tan 1
2 2
1 1
or
R
123. Other parameters
U=340 m/s and N – 1500rpm
rm = 0.216m
α1= atan (tanβ1+1/Φ)=?
Sketch the velocity diagram
Calculate V1, W1, V2, W2
Check Mcr
None of the Mach can be greater than 1
124. Blade Design at 0,1,2
Density
From mass flow rate
m
r r m
hub m
æ
æ
+
m r VA r r 1 g
1
V
1
r r r
Þ = = ´ ´ -
2 ( )
m
A m
p
r r m
tip m
cr
m tip hub
t
V r
V r
V
V
´ ´
= -
´ ´
= +
ö
÷ ÷
ø
ç ç
è
ö
÷ ÷ø
ç çè
= Þ = - -
1
-
1
2
r p r p
r
g
g
2 2 2 2
126. Design for blade shape
Aspect ratio
Chord (the axial projective length of blade)
Cz_vane, Cz_blade
Gap between rotor and stator
Gap = 0.25*(Cz_vane+Cz_blade)/2
1/8 of the stage solidity length
127. Detail turbine airfoil cascades
Select an airfoil
Camber the center line to achieve the inlet
and exit flow
Consider other factors that affects the
efficiency of the flow
The detailed design procedure
128. Detail Design Procedure
With the velocity diagram
Design for the efficiency of flow deflection
Blade geometry parameters
Iterative process
Given inlet/exit condition
Find the most efficient shape of blade
Real flow considerations
Some CAD packages
129. Blade Geometry
Geometry to be determined -- page 120
Suction side (SS) and pressure side (PS)
Design Principle
Higher loaded – larger P/V difference between SS
and PS
Real fluid consideration
131. Force Applied To The Blade
Cascade x-y coordination r- θ - z
X Z (axial direction)
Y θ direction
S - pitch of blades
Circulation around each blade
S V V
S 2
r
= G = -
F P P S F V
= - = G
( )
x in exit y z
F Rp P S Rp P
exit
in
x in
P
no blades
= - =
(1 )
( )
._
2 1
r
p
q q
132. Real Fluid Effects
Pitch/axial chord ratio s/c
Aspect ratio h/c
Incidence
Tip clearance
Viscosity and friction
133. Pitch/axial chord ratio s/c
Definition of s and c
s: circular pitch of at given radius, usually the
meridional
c: tip to trail linear distance, not counting the
curvature of the blade
Figure 7.14 on Page 124
Conclusion: larger deflection smaller s/c
134. Aspect Ratio h/c
Definition
h: tip-hub distance (delta-R)
c: tip to hub distance of blade
Design perference - smaller the better
<<1.0 boundary layer affects performance
>6.0 vibration and bending stress
Old optimum value is 3.0 ~~ 4.0
Modern design is around 1.0
135. Incidence
Gas (attacking) angle and metal angle
Profile (pressure) loss coefficient Yp
Yp = ( Total pressure loss )
(exit total to local pressure Difference)
Reaction blade (momentum absorber – both
velocity magnitude and direction change counts)
has lower Yp than Impulse blade (direction only)
Lead edge thickness reduces sensitivity of
incidence effect on Yp
136. Tip Clearance
Tip leakage
Direct leakage axial leakage
Indirect leakage tangential from pressure side
to suction side
Leakage prevention
Direct leakage prevention slot in casing
Indirect leakage prevention Full or partial
shroud
137. Reynolds Number - Viscosity
Similar to a plate
Re > 10^5 Ypconstant
Re > 10^5 Yp change rapidly
138. Guideline For Blade Design
Criterion for Acceptable Diffusion
Downstream turning angle of cambered airfoil
Location of front stagnation point
Trailing edge thickness
Effect of Endwall contouring
139. Criterion for Acceptable Diffusion
Diffusion – expansion or de-compression
Velocity decline Diffusion aversive pressure
(with large deflection) boundary layer separation
large loss
Diffusion factor
0.25
ö
P
P
t exit t V
1
max ( )
ö
P
t V
max ( )
£
ö
÷ ÷ø
-
÷ ÷ø
- ÷ ÷ø
=
Vcr
Vcr
P
P
P
l
140. Downstream Turning Angle
Definition:
A build-in camber angle of airfoil centerline – design for
camber curve of airfoil
Reasoning: straight portion of latter half camber line in
airfoil
The purpose is to control diffusion
With the angle δ build into blades squeeze the
subsonic flow path increase flow momentum
decrease diffusion
However, if too much Mach ~~ 1.0 supersonic
pocket shock abrupt total pressure drop
With M~~0.8, δ = [8.0, 12] deg
141. Location of Front Stagnation Point
Front Stagnation Point the point where
flow hit metal surface at 90deg
Actual stagnation point s can be far from the
theoretically point a
With high flow velocity separation
Correction
Negative incidence angle
leading edge radius, arc length …
142. Trailing Edge Thickness
Trailing edge of airfoil
Flow from different blades mixed after
trailing edge sudden expansion duct flow
Thinner the better, but
Strength consideration
Coolant pass
143. Endwall Contouring
Contour of surface of either casing or hub
Purpose of the contouring -- to improve blade
aerodynamic loading
Form a nozzle to change the flow property
Accelerate the flow at rear portion of suction side
Force the boundary layer thinner
Gather/collect the scatter fluid
144. Useful Equations
Choice of stagger angle
Stagger angle between the connecting line airfoil front
tip to trailing edge and the axial direction
é
ö çèb = - æ b - b
0.95 tan 1 tan 1 tan 1 + úû
Note:
Stator design use α instead of β
One of the two angle is negative
5
2
ù
êë
÷ø
145. Optimum Spacing and Chord Ratio
Definition of Zweifel’s loading coefficient
Zweifel’s law
Optimum Zweifel’s coefficient is 0.8
ö
- ÷ ÷ø
æ
=
ç çè
s
y b b b
2 cos (tan tan )
c
z
Solidity Ratio :
s
=
c
z
s
0.8 2cos (tan tan )
2 1 2
2
2 1 2
2
s = b b -
b
T
146. Staking of 2D Sections
Blade design is first done by design sections at each
radius
Staking these 2d Sections to form a 3D blade
Experiment and and reworking
Problems: secondary flow – flow crossed original design
path into other plane
Method of staking
Fix a staking axis
Rotate each design 2d airfoil to optimize
147. Chapter 8 Axial Flow Compressors
Introduction
Centrifugal compressor is first used
Axial flow compressor is much more efficnet
Axial turbine can be used as a compressor if
reversed, at price of significant efficiency loss
148. Axial compressor vs turbine
Turbine
Fluid flow from high pressure to low pressure
naturally
Accelerating though passage
Compressor
Fluid flow from low pressure to high pressure
Convert kinetic energy to pressure potential
Compression must be a slow decelerating flow
149. Multi-stage Compressors and Stage
Definition
Multi-staging is necessary
Pressure ratio vs performance
Compressor stages
Inlet Guide vane – nozzle axial flow to
tangential flow
Rotor-stator for each stage
Subscription 1 rotor inlet; 2 rotor
outlet/stator inlet; 3vane outlet
V3=V1; α3=α1
150. Compressor Blade
Simpler than turbine blade
Selected from standard
British C4 – design from pressure distribution but
no definite form
Base profile and camber line
Standard parameter – t/c 10% above appr. 40%
151. US NACA Series
Classified according to CL
The amount of cambers
4, 5, 6, 7 series
Most commonly used is 65xxx
Deflection angle ε
Solidity c/s
152. Real Flow Effect
Incident and deviation
Total pressure loss coefficient (PLC) ΔPt/
(ρV^2/2)
Deflection angle
Stalling
PLC is twice as minimum
Nominal e* is 0.8 of stalling es
Positive incident angle cause high loss
153. Reynolds Number
Lower than 2x10^5 leads to high profile loss
Higher than 3x10^5 does not change much
Critical Re is 3x10^5
This effect is partially affected by the
turbulence.