In engineering and science, dimensional analysis is the analysis of the relationships between different physical quantities by identifying their fundamental dimensions (such as length, mass, time, and electric charge) and units of measure (such as miles vs. kilometers, or pounds vs. kilograms vs. grams) and tracking these dimensions as calculations or comparisons are performed.
Dimensional analysis is one of the important topic of the fluid mechanics. It is useful for transferring data from one system to other system and also useful in reducing complexity of the equation.
Topics:
1. Introduction to Fluid Dynamics
2. Surface and Body Forces
3. Equations of Motion
- Reynold’s Equation
- Navier-Stokes Equation
- Euler’s Equation
- Bernoulli’s Equation
- Bernoulli’s Equation for Real Fluid
4. Applications of Bernoulli’s Equation
5. The Momentum Equation
6. Application of Momentum Equations
- Force exerted by flowing fluid on pipe bend
- Force exerted by the nozzle on the water
7. Measurement of Flow Rate
a). Venturimeter
b). Orifice Meter
c). Pitot Tube
8. Measurement of Flow Rate in Open Channels
a) Notches
b) Weirs
In engineering and science, dimensional analysis is the analysis of the relationships between different physical quantities by identifying their fundamental dimensions (such as length, mass, time, and electric charge) and units of measure (such as miles vs. kilometers, or pounds vs. kilograms vs. grams) and tracking these dimensions as calculations or comparisons are performed.
Dimensional analysis is one of the important topic of the fluid mechanics. It is useful for transferring data from one system to other system and also useful in reducing complexity of the equation.
Topics:
1. Introduction to Fluid Dynamics
2. Surface and Body Forces
3. Equations of Motion
- Reynold’s Equation
- Navier-Stokes Equation
- Euler’s Equation
- Bernoulli’s Equation
- Bernoulli’s Equation for Real Fluid
4. Applications of Bernoulli’s Equation
5. The Momentum Equation
6. Application of Momentum Equations
- Force exerted by flowing fluid on pipe bend
- Force exerted by the nozzle on the water
7. Measurement of Flow Rate
a). Venturimeter
b). Orifice Meter
c). Pitot Tube
8. Measurement of Flow Rate in Open Channels
a) Notches
b) Weirs
Dimensional analysis offers a method for reducing complex physical problems to the simplest (that is, most economical) form prior to obtaining a quantitative answer.
A fluid is a state of matter in which its molecules move freely and do not bear a constant relationship in space to other molecules.
In physics, fluid flow has all kinds of aspects: steady or unsteady, compressible or incompressible, viscous or non-viscous, and rotational or irrotational to name a few. Some of these characteristics reflect properties of the liquid itself, and others focus on how the fluid is moving.
Fluids are :-
Liquid : blood, i.v. infusions)
Gas : O2 , N2O)
Vapour (transition from liquid to gas) : N2O (under compression in cylinder), volatile inhalational agents (halothane, isoflurane, etc)
Sublimate (transition from solid to gas bypassing liquid state) : Dry ice (solid CO2), iodine
1. Introduction to Kinematics
2. Methods of Describing Fluid Motion
a). Lagrangian Method
b). Eulerian Method
3. Flow Patterns
- Stream Line
- Path Line
- Streak Line
- Streak Tube
4. Classification of Fluid Flow
a). Steady and Unsteady Flow
b). Uniform and Non-Uniform Flow
c). Laminar and Turbulent Flow
d). Rotational and Irrotational Flow
e). Compressible and Incompressible Flow
f). Ideal and Real Flow
g). One, Two and Three Dimensional Flow
5. Rate of Flow (Discharge) and Continuity Equation
6. Continuity Equation in Three Dimensions
7. Velocity and Acceleration
8. Stream and Velocity Potential Functions
Dimensional analysis offers a method for reducing complex physical problems to the simplest (that is, most economical) form prior to obtaining a quantitative answer.
A fluid is a state of matter in which its molecules move freely and do not bear a constant relationship in space to other molecules.
In physics, fluid flow has all kinds of aspects: steady or unsteady, compressible or incompressible, viscous or non-viscous, and rotational or irrotational to name a few. Some of these characteristics reflect properties of the liquid itself, and others focus on how the fluid is moving.
Fluids are :-
Liquid : blood, i.v. infusions)
Gas : O2 , N2O)
Vapour (transition from liquid to gas) : N2O (under compression in cylinder), volatile inhalational agents (halothane, isoflurane, etc)
Sublimate (transition from solid to gas bypassing liquid state) : Dry ice (solid CO2), iodine
1. Introduction to Kinematics
2. Methods of Describing Fluid Motion
a). Lagrangian Method
b). Eulerian Method
3. Flow Patterns
- Stream Line
- Path Line
- Streak Line
- Streak Tube
4. Classification of Fluid Flow
a). Steady and Unsteady Flow
b). Uniform and Non-Uniform Flow
c). Laminar and Turbulent Flow
d). Rotational and Irrotational Flow
e). Compressible and Incompressible Flow
f). Ideal and Real Flow
g). One, Two and Three Dimensional Flow
5. Rate of Flow (Discharge) and Continuity Equation
6. Continuity Equation in Three Dimensions
7. Velocity and Acceleration
8. Stream and Velocity Potential Functions
Dimensional analysis means analysis of the dimensions of physical quantities. Dimensional analysis lowers the number of variables in a fluid phenomenon by mixing the some variables to form parameters which have no dimensions.
Fluid Mechanics Chapter 5. Dimensional Analysis and SimilitudeAddisu Dagne Zegeye
Introduction, Dimensional homogeneity, Buckingham pi theorem, Non dimensionalization of basic equations, Similitude, Significance of non-dimensional numbers in fluid flows
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
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.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
The Internet of Things (IoT) is a revolutionary concept that connects everyday objects and devices to the internet, enabling them to communicate, collect, and exchange data. Imagine a world where your refrigerator notifies you when you’re running low on groceries, or streetlights adjust their brightness based on traffic patterns – that’s the power of IoT. In essence, IoT transforms ordinary objects into smart, interconnected devices, creating a network of endless possibilities.
Here is a blog on the role of electrical and electronics engineers in IOT. Let's dig in!!!!
For more such content visit: https://nttftrg.com/
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
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2. Dimensional Analysis
• It is a pure mathematical technique to establish a relationship
between physical quantities involved in a fluid phenomenon by
considering their dimensions.
• In dimensional analysis, from a general understanding of fluid
phenomena, we first predict the physical parameters that will
influence the flow
• then we group these parameters into dimensionless combinations which
enable a better understanding of the flow phenomena.
• Dimensional analysis is particularly helpful in experimental work because it
provides a guide to those things that significantly influence the phenomena
• thus it indicates the direction in which experimental work should go.
3. Fundamental quantities- (Primary dimensions)
The physical quantities which can be treated as independent of other physical
quantities and are not usually defined in terms of other physical quantities, are
called fundamental quantities.(primary dimensions. Primary (sometimes
called basic) dimensions are defined as independent or fundamental dimensions,
from which other dimensions can be obtained.
Ex.: Mass, Length, Time etc.,
• Units are the standard elements we use to quantify these dimensions.
Ex.: Kg, Metre, Seconds etc.,
• For example, length is a dimension that is measured in units such as microns (m),
feet (ft), centimeters (cm), meters (m), kilometers (km), etc.There are seven
primary dimensions (also called fundamental or basic dimensions. They are
mass, length, time, temperature, electric current, amount of light, and
amount of matter
4. Non primary dimensions
• All nonprimary dimensions can be formed by some combination of
the seven primary dimensions
For example, force has the same dimensions as mass times acceleration (by
Newton’s second law). Thus, in terms of primary dimensions,
Dimensions of force:
5. EXAMPLE :
Primary Dimensions of Surface Tension
SOLUTION
The primary dimensions of surface tension are to be determined.
Analysis
Force has dimensions of mass times acceleration, or {mL/t2 }. Thus,
6. Geometric Units Dimensions
Area 𝑚2 𝐿2
Volume 𝑚3 𝐿3
Kinetic
Velocity m/s L/T (L𝑇−1)
Acceleration m/𝑠2 L𝑇2 (L𝑇−2)
Discharge m3 /s L3/T(L3T-1)
Dynamic
Force N ML/T (ML𝑇−1)
Density g/𝑚3 M/𝐿3 (M𝐿−3)
The physical quantities whose defining operations are based on other physical
quantities, are called derived quantities.
All physical quantities other than the seven base quantities are derived
quantities
Swcondary dimensions are those quantities which posses more than one
fundamental dimensions
Secondary or Derived Dimensions:
7. Dimensionless quantity
Physical quantities which do not possess dimensions are called
dimensionless quantities.
Example: Angle, specific gravity, strain.
In general, physical quantity which is a ratio of two quantities of same
dimension will be dimensionless.
Example:
Reynold’s number 𝑅 𝑒 =
𝜌𝑈𝐿
𝜇
is a dimensionless number
Therefore the Dimensions of numerator 𝜌𝑈𝐿 = (M𝐿−3
) (L𝑇−1
) (L)
Simplifying we get 𝑀𝐿−1
𝑇−1
Dimensions of denominator 𝜇 = 𝑀𝐿−1
𝑇−1
Therefore 𝑅 𝑒 =
𝜌𝑈𝐿
𝜇
=
𝑀𝐿−1 𝑇−1
𝑀𝐿−1 𝑇−1 hence dimensionless.
8. Necessity of Dimensional analysis
• In some of the practical real flow problems in fluid mechanics can be
solved by using equations and analytical procedures.
• Solutions of some real flow problems depend heavily on experimental
data.
• Sometimes, the experimental work in the laboratory is not only time
consuming, but also expensive.
• So, the main goal is to extract maximum information from fewest
experiments.
• In this regard, dimensional analysis is an important tool that helps in
correlating analytical results with experimental data and to predict the
prototype behaviour from the measurements on the model.
9. Objectives of Dimensional Analysis
1) Checking the dimensional homogeneity of any fluid flow equation.
2) Deriving fluid mechanics equations expressed in terms of non-dimensional
parameters to show the relative significance of each parameter.
3) Planning tests and presenting experimental results in a systematic manner.
4) Analysing complex flow phenomena by use of scale models (model similitude).
5) Conversion from one dimensional unit to another
6)Checking units of equations (Dimensional Homogeneity)
7) Defining dimensionless relationship using
a) Rayleigh’s Method
b) Buckingham’s π-Theorem
8) Model Analysis
10. DIMENSIONAL HOMOGENEITY
Principle of dimensional homogeneity states that an equation which
expresses a physical phenomenon of fluid flow must be algebraically correct
and dimensionally homogeneous
An equation is said to be dimensionally homogeneous, if the dimensions on
its left hand side are same as the dimensions pf the terms on the left hand
side
Example : Consider the equation V= 2𝑔ℎ
Dimensions of LHS V = L/T =LT-1
Dimensions of RHS = 2𝑔ℎ =
𝐿
𝑇2xL =
𝐿2
𝑇2 =
𝐿
𝑇
= LT-1
Dimensions of LHS= Dimensions of RHS
Hence the equation is homogeneous
11. Example : Consider the equation s= ut+
1
2
a𝑡2
Dimensions of LHS S= distance = m= L1
Dimensions of RHS =ut=m/s xs = L/T xT = L1
Dimensions of RHS= ½ at2 =m/s2 x s2 = L/T2 xT2 = L1
Dimensions of LHS= Dimensions of RHS
Hence the equation is homogeneous
12. Check the dimensional homogeneity of Bernoulli’s equation of energy
Bernoulli’s equation is P+1/2 𝜌𝑉2
+𝜌𝑔ℎ = 𝑐
Solution :
Dimension of P =
𝐹𝑜𝑟𝑐𝑒
𝐴𝑟𝑒𝑎
=
𝑀𝑎𝑠𝑠 𝑥
𝐿𝑒𝑛𝑔𝑡ℎ
𝑇𝑖𝑚𝑒2
𝐿𝑒𝑛𝑔𝑡ℎ2 =
𝑀
𝐿
𝑇2
𝐿2 =
𝑀
𝑇2 𝐿
Dimensions of 1/2 𝜌𝑉2
=
𝑀𝑎𝑠𝑠
𝑉𝑜𝑢𝑚𝑒
𝐿𝑒𝑛𝑔𝑡ℎ
𝑇𝑖𝑚𝑒
2
=
𝑀
𝐿3
𝐿
𝑇
2
=
𝑀
𝑇2 𝐿
Dimensions of 𝜌𝑔ℎ =
𝑀𝑎𝑠𝑠
𝑉𝑜𝑢𝑚𝑒
𝐿𝑒𝑛𝑔𝑡ℎ
𝑇𝑖𝑚𝑒2 𝐿𝑒𝑛𝑔𝑡ℎ =
𝑀
𝐿3
𝐿
𝑇2 𝐿 =
𝑀
𝑇2 𝐿
Therefore all the additive terms of the Bernoulli’s equation are having the same
dimensions
Therefore from the law of homogeneity the dimensions of the constant shall also
have the dimensions on the left hand side
Therefore the dimension of the right hand side C is
𝑀
𝑇2 𝐿
13. METHODS OF DIMENSIONAL ANALYSIS
There are two methods of dimensional analysis used.
(i) Rayleigh's method
(ii) Buckingham π Theorem
RAYLEIGH'S METHOD
In this method, the expression is determined for a variable for
maximum three or four variables only.
If the number of independent variables becomes more than four, it is
very difficult to find the expression for the dependent variable
14. Steps involved in Rayleigh's method
1. First, the functional relationship is written with the given data.
Consider X as a variable which depends on X1, X2, X3,… Xn
So, the functional equation is written X=f(X1, X2, X3,…Xn)
2. Then the equation is expressed in terms of a constant with exponents like
powers of a, b, c ... Therefore, the equation is again written as:
X=ϕ(X1
a,X2
b,X3
c, ...Xn
z)
Here, (ϕ)= Constant a, b, c, ... z = Arbitrary power
3. The values of a, b, c, ... z are determined with the help of dimensional
homogeneity. It means, the powers of the fundamental dimensions on both
sides are compared to obtain the values of exponents.
4. Finally, these exponents/power values are substituted in the functional
equation and simplified to obtain the suitable form.
15. Example:
Let us consider the frictional resistance of fluid flow per unit area of the
inside surface of the pipe
A reasonable assumption can be made that the resistance which causes
pressure drop of the fluid (Δp)is a function of diameter of pipe (D),
fluid density (𝜌) fluid velocity u and fluid viscosity 𝜇, or
Δp= f[u,D, 𝜌, 𝜇]
Δp = c ua D b 𝜌c 𝜇d
where C is a dimensionless constant. The dimensional equation of the
above expression in fundamental dimensions M, L and T are
𝑀𝐿𝑇−2
𝐿2 = 𝐿𝑇−1 𝑎
𝐿 𝑏
𝑀𝐿−3 𝑐
𝑀𝐿−1
𝑇−1 𝑑
M𝐿−1
𝑇−2
=𝐿 𝑎−𝑏−3𝑐−𝑑
𝑇−𝑎−𝑑
𝑀−𝑐+𝑑
16. For the homogeneity of
M : 1 = c + d,
L : − 1 = a + b – 3 c – d and,
t : − 2 = − a – d.
On solving these equations
we have
b = − d,
c = 1 – d and
a = 2 – d.
∆𝑝 = 𝑐𝑢2−𝑑
𝐷−𝑑
𝜌1−𝑑
𝜇 𝑑
= C𝜌𝑢2 𝜇
𝜌𝑢𝐷
𝑑
=C
𝜌𝑢2
𝑅 𝑒
𝐷
Where 𝑅 𝑒
𝐷
=
𝜌𝑢𝐷
𝜇
= Reynolds number.
The values of constants C and D have to
be determined by experiment
17. Problem: Fluid flow through a small orifice discharging freely into atmosphere under a constant head depends on the
parameters discharge Q diameter d, constant head H. ρ the mass density and µ the dynamic viscosity of the fluid flowing
through the orifice.
Q= f(µ, ρ, d, H, g)
Q = C(μa ,ρb,dc,Hdge) where C is a dimensionless constant.
Substituting the proper dimensions for each variable in this exponential equation in M-L-T system,
(L3/T) = (M°L°T°) (M/LT)a (M/L3)b (L)c(L)d(L/T2)e
For dimensional homogeneity the exponents of each dimension on the both sides of the equation must be identical.
Thus
for M : 0 = a + b
for L : 3 = – a –3b + c + d + e
for T :– 1 = – a – 2e
Since there are five unknowns in three equations, three of the unknowns must be expressed in terms of the other two
b=-a
e=
1
2
-
𝑎
2
c=
5
2
−
3𝑎
2
-d
18. Q=c 𝜇 𝑎
𝜌−𝑎
𝑑
5
2
−
3𝑎
2
−𝑑
𝐻 𝑑
𝑔
1
2
−
𝑎
2
=c 𝑑
5
2 𝑔
1
2 𝜇 𝑎
𝜌−𝑑
𝑑
−3𝑎
2 𝑔
−𝑎
2 , 𝐻 𝑑
𝑑−𝑑
Q=c
𝜇
𝜌𝑑
3
2 𝑔
1
2
𝑎 𝐻
𝑑
𝑑−
1
2
𝑑2
𝐻
1
2 𝑔
1
2 ( multiplying and dividing by
𝜋
4
2)
=
𝐶
𝜋
4
2
𝜇
𝜌𝑑
3
2
𝑔
1
2
𝑎 𝐻
𝑑
𝑑−
1
2 𝜋
4
𝑑2
2𝑔𝐻
= 𝑎 2𝑔𝐻 𝑓1
𝜇
𝜌𝑑
3
2 𝑔
1
2
,
𝐻
𝑑
This expression may be written in usual form i. e., Q=𝐶 𝑑a 2𝑔𝐻
Where 𝐶 𝑑 is the coefficient of discharge of the orifice which can be
expressed as 𝐶 𝑑 =𝑓1
𝜇
𝜌𝑑
3
2 𝑔
1
2
,
𝐻
𝑑
Note: 𝐶 𝑑 is a non dimensional factor
19. Example :Find the equation for the power developed by a pump if it
depends on head H ;discharge Q and specific weight 𝛾 of the fluid
P = f (H, Q, 𝛾 )
P = C HaQb 𝛾 c
[P] = [H]a [Q]b [𝛾]c -----(a)
[L2MT-3] = [LMoTo]a[L3M 0T-1]b[L-2MT-2]c
for M : 1 = c ---(i)
for L : 2 = a + 3b – 2c ---(ii)
for T :– 3 = – b – 2c ---(iii)
(i )in( iii) gives b=1
substituting b and c value in( ii) we get a=1
Substituting a,b and c in (a) we get
[P] = [H]1 [Q]1 [𝛾]1
When K = 1
P= 𝛾𝑄𝐻