Here are the key steps to solve this problem:
1) Use Bernoulli's equation between points 1 and 2:
P1/γ + V12/2g + Z1 = P2/γ + V22/2g + Z2 + HL
2) Given: P1 = 200 kPa, Q = 30 L/sec, HL = 20 kPa
3) Use continuity equation: A1V1 = A2V2
4) Solve for P2
The pressure at point 2 is 180 kPa.
This is first or introductory lecture of Mechanics of Solids-1 as per curriculum formulated by Higher Education Commission and Pakistan Engineering Council
This is first or introductory lecture of Mechanics of Solids-1 as per curriculum formulated by Higher Education Commission and Pakistan Engineering Council
This powerpoint presentation deals mainly about bearing stress, its concept and its applications.
Members:
BARIENTOS, Lei Anne
MARTIREZ, Wilbur
MORIONES, Jan Ebenezer
NERI, Laiza Paulene
Sir Romeo Alastre - MEC32/A1
Solution Manual for Structural Analysis 6th SI by Aslam Kassimaliphysicsbook
https://www.unihelp.xyz/solution-manual-structural-analysis-kassimali/
Solution Manual for Structural Analysis - 6th Edition SI Edition
Author(s): Aslam Kassimali
Solution Manual for 6th SI Edition (above Image) is provided officially. It include all chapters of textbook (chapters 2 to 17) plus appendixes B, C, D.
1. The background of Fluid Mechanics
2. Fields of Fluid mechanics
3. Introduction and Basic concepts
4. Properties of Fluids
5. Pressure and fluid statics
6. Hydrodynamics
This powerpoint presentation deals mainly about bearing stress, its concept and its applications.
Members:
BARIENTOS, Lei Anne
MARTIREZ, Wilbur
MORIONES, Jan Ebenezer
NERI, Laiza Paulene
Sir Romeo Alastre - MEC32/A1
Solution Manual for Structural Analysis 6th SI by Aslam Kassimaliphysicsbook
https://www.unihelp.xyz/solution-manual-structural-analysis-kassimali/
Solution Manual for Structural Analysis - 6th Edition SI Edition
Author(s): Aslam Kassimali
Solution Manual for 6th SI Edition (above Image) is provided officially. It include all chapters of textbook (chapters 2 to 17) plus appendixes B, C, D.
1. The background of Fluid Mechanics
2. Fields of Fluid mechanics
3. Introduction and Basic concepts
4. Properties of Fluids
5. Pressure and fluid statics
6. Hydrodynamics
This project is to cover the graduation requirements for high Diploma of Higher College Of Technology. The research was on the earthquakes and it effects on the building. After that , designing system that help us to control the effect of earthquakes. This system has structure components that should be under consideration. Also, installing the Tuned Mass Dumper TMD in the structure and superstructure of building. This consisting of mass, spring and viscous dumper. The viscous dumper will absorb the energy of the vibration due to earthquakes. Part of calculations, it’s important to study the Flexibility influence coefficient. It focuses on the behavior in terms of stiffness and flexibility. Another important subject is mass stiffness and matrices. This provides the simplest representation of a building for the purposes of investigating lateral dynamic responses.
Economy report of UAE . this report is only for United Arab Emirates. This project shows you how to make proper economy report for any country. Students who study Economy at university, they really need to read this report. I call it project because it's huge of information and it's complete.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
3. Its specific gravity (relative density) is equal to the ratio
of its density to that of water at standard temperature and pressure.
ρL γ L
SL = =
ρW γW
Its specific gravity (relative density) is equal to the ratio
of its density to that of either air or hydrogen at some specified
temperature and pressure.
ρG γG
SG =
=
ρ ah γ ah
where: At standard condition
3
W = 1000 kg/m
3
W = 9.81 KN/m
4. °F - 32
1.8
°F =1.8°C+ 32
°C =
K
C 273
R
F 460
F
P=
KPa
A
dF
P=
KPa
dA
where: F - normal force, KN
A - area, m2
5. y
P3 A3
A
P1 A1
x
B
C
z
P2 A2
Fx = 0 and Fy = 0
P1A1 – P3A3 sin = 0
P2A2 – P3A3cos = 0
From Figure:
A1 = A3sin
A2 = A3cos
3
4
1
2
Eq. 3 to Eq. 1
P1 = P3
Eq. 4 to Eq. 2
P2 = P3
Therefore:
P1 = P2 = P3
6. Atmospheric pressure: The pressure exerted by the atmosphere.
At sea level condition:
Pa = 101.325 KPa
= .101325 Mpa
= 1.01325Bar
= 760 mm Hg
= 10.33 m H2O
= 1.133 kg/cm2
= 14.7 psi
= 29.921 in Hg
= 33.878 ft H2O
8. moving plate
v
v+dv
dx
x
v
Fixed plate
S dv/dx
S = (dv/dx)
S = (v/x)
= S/(v/x)
where:
- absolute or dynamic
viscosity
in Pa-sec
S - shearing stress in Pascal
v - velocity in m/sec
x -distance in meters
9. = /
m2/sec
Ev = - dP/(dV/V)
Where negative sign is used because dV/V is negative for a positive dP.
Ev = dP/(d / )
because -dV/V = d /
where:
Ev - bulk modulus of elasticity, KPa
dV - is the incremental volume change
V - is the original volume
dP - is the incremental pressure change
10. Where:
- surface tension, N/m
- specific weight of liquid, N/m3
r – radius, m
h – capillary rise, m
r
h
Surface Tension of Water
C
0
10
h
0.0742
20
2σ cos θ
γr
0.0756
0.0728
30
0.0712
40
0.0696
60
0.0662
80
0.0626
100
0.0589
11. FREE SURFACE
h1
1•
h
h2
2•
dP = - dh
Note:Negative sign is used because pressure decreases as elevation increases
and pressure increases as elevation decreases.
12. Pressure Head:
P
h
γ
where:
p - pressure in KPa
- specific weight of a fluid, KN/m3
h - pressure head in meters of fluid
MANOMETERS
Manometer is an instrument used in measuring gage pressure in length of some
liquid column.
Open Type Manometer : It has an atmospheric surface and is capable in
measuring gage pressure.
Differential Type Manometer : It has no atmospheric surface and is capable in
measuring differences of pressure.
13. Open Type Manometer
Fluid A
Differential Type Manometer
Fluid A
Open
Manometer Fluid
Fluid B
Manometer Fluid
14. Determination of S using a U - Tube
Open
Open
Fluid A
x
y
Fluid B
SAx = SBy
15. Example no. 1
A building in Makati is 84.5 m high above the street level. The required
static pressure of the water line at the top of the building is 2.5 kg/cm2.
What must be the pressure in KPa in the main water located 4.75 m
below the street level. (1120.8 KPa)
Point 1: Main water line, 4.75 m below street level
Point 2: 84.5 m above street level
∆h = h2 – h1 = (84.5 + 4.75) = 89.25 m
P2 = 2.5 kg/cm2 = 245.2 KPa
P2
P1
P1
P1
P1
(h2 h1 )
P2 (h2 h1 )
245.2 9.81(89.25)
1,120.743 KPa
16. Example No. 2
A mercury barometer at the ground floor of a high rise hotel in Makati
reads 735 mm Hg. At the same time another barometer at the top of
the hotel reads 590 mmHg. Assuming air density to be constant at
1.22 kg/m3, what is the approximate height of the hotel. (1608 m)
Point 1: Ground floor
1.22(9.81)
KN
For air :
0.012 3
h1 = 0 m
1000
m
P1 = 735 mm Hg = 98 Kpa
kg
1.22 3
P2 - P1 - (h2 - h1 )
Point 2: Roof Top
m
g KN
(P2 - P1 )
h2 = h (height)
h2 - h1
1000 m3
P2 = 590 mm Hg = 78.7 KPa
assumin g :
m
g 9.81
sec2
h2 - h1 h
h 1608.33 meters
17. Example No. 3
The reading on a pressure gage is 1.65 MPa, and the local barometer
reading is 94 KPa. Calculate the absolute pressure that is being measured in kg/cm2. (17.78 kg/cm2)
Example No. 4
A storage tank contains oil with a specific gravity of 0.88 and depth of
20 m. What is the hydrostatic pressure at the bottom of the tank in
kg/cm2. (1.76 kg/cm2)
Example No. 5
A cylindrical tank 2 m diameter, 3 m high is full of oil. If the specific
gravity of oil is 0.9, what is the mass of oil in the tank?
18. Forces Acting on Plane Surfaces
Free Surface
hp
S
h
S
S
M
M
y
F
•C.G.
•C.P.
•C.G.
•C.P.
yp
e
N
N
F - total hydrostatic force exerted by the fluid on any plane surface MN
C.G. - center of gravity
C.P. - center of pressure
19. where:
Ig - moment of inertia of any plane surface MN with respect to the axis at its centroids
Ss - statical moment of inertia of any plane surface MN with respect to the axis SS not
lying on its plane
e - perpendicular distance between CG and CP
20. Forces Acting on Curved Surfaces
FV
Free Surface
D
E
Vertical Projection of AB
F
h
C
A
C’
L
C
C.G.
Fh
C.P.
B
B’
B
hp
21. Fh = γhA
A = BC x L
A - area of the vertical projection of AB, m2
L - length of AB perpendicular to the screen, m
FV = γV
V = AABCDEA x L, m3
2
F = Fh + Fv
2
23. S = F/2(1t) 3
From figure, on the vertical projection the pressure P;
P = F/A
A = 1D
F = P(1D) 4
substituting eq, 4 to eq. 3
S = P(1D)/2(1t)
PD
S
KPa
2t
where:
S - Bursting Stress KPa
P - pressure, KPa
D -inside diameter, m
t - thickness, m
24. Laws of Buoyancy
Any body partly or wholly submerged in a liquid is subjected
to a buoyant or upward force which is equal to the weight of
the liquid displaced.
1.
where:
W - weight of body, kg, KN
BF - buoyant force, kg, KN
- specific weight, KN/m3
- density, kg/m3
V - volume, m3
Subscript:
B - refers to the body
L - refers to the liquid
s - submerged portion
W
Vs
BF
W = BF
W = BVB KN
BF = LVs KN
W = BF
W = BVB
BF = LVs
25. W
2.
Vs
BF
T
W = BF - T
W = BVB KN
BF = LVs KN
W = BF - T
W = BVB
BF = LVs
where:
W - weight of body, kg, KN
BF - buoyant force, kg, KN
T - external force T, kg, KN
- specific weight, KN/m3
- density, kg/m3
V - volume, m3
Subscript:
B - refers to the body
L - refers to the liquid
s - submerged portion
26. 3.
T
W
Vs
BF
W = BF + T
W = BVB KN
BF = LVs KN
W = BF + T
W = BVB
BF = LVs
where:
W - weight of body, kg, KN
BF - buoyant force, kg, KN
T - external force T, kg, KN
- specific weight, KN/m3
- density, kg/m3
V - volume, m3
Subscript:
B - refers to the body
L - refers to the liquid
s - submerged portion
30. 1. Without Energy head added or given up by the fluid (No work done
bythe system or on the system:
P1 v12
P2 v 2 2
+
+ Z1 =
+
+ Z2 + H L
γ 2g
γ 2g
2. With Energy head added to the Fluid: (Work done on the system
P1 v12
P2 v 2 2
+
+ Z1 + h t = +
+ Z2 + H L
γ 2g
γ 2g
3. With Energy head added given up by the Fluid: (Work done by the
system)
P1 v12
P2 v 2 2
+
+ Z1 + =
+
+ Z2 + H L + h
γ 2g
γ 2g
Where:
P – pressure, KPa
v – velocity in m/sec
Z – elevation, meters
+ if above datum
- if below datum
- specific weight, KN/m3
g – gravitational acceleration
m/sec2
H – head loss, meters
31. APPLICATION OF THE BERNOULLI'S ENERGY THEOREM
Nozzle
Base
Tip
Q
Jet
P1
v12
2g
Z1
P2
v22
2g
Z2
2
v
1 2
2g
HL
1
2
Cv
Q
Av m3 /sec
where: Cv - velocity coefficient
HL
32. Venturi Meter
B. Considering Head loss
P1
γ
Q'
Q'
1
2
2
Meter Coefficient
Manometer
A. Without considering Head loss
2
2
v1
P v2
Z1 2
2g
γ 2g
A1v1 A2 v 2
actual flow
2
P1 v 1
P2 v 2
Z1
γ 2g
γ 2g
Q A1v1 A2 v 2
Q theoretica flow
l
Z2
Q'
C
Q
Z 2 HL
39. MP
MP
where:
EI(cosθ)
KW
1000
3 EI(cosθ)
KW
1000
P - pressure in KPa
T - brake torque, N-m
v - velocity, m/sec
N - no. of RPM
- specific weight of liquid, KN/m3
WP - fluid power, KW
Z - elevation, meters
BP - brake power, KW
g - gravitational acceleration, m/sec2
MP - power input to
HL - total head loss, meters
motor, KW
E - energy, Volts
I - current, amperes
(cos ) - power factor
40. HYDRO ELECTRIC POWER PLANT
1
Headrace
Penstock
turbine
2
Tailrace
Y – Gross Head
42. Fundamental Equations
1. Net Effective Head
A.
Impulse Type
h = Y – HL
Y = Z1 – Z 2
Y – Gross Head, meters
Where:
Z1 – head water elevation, m
Z2 – tail water elevation, m
B. Reaction Type
h = Y – HL
Y = Z1 –Z2
h
PB
2
vB
2g
ZB
meters
Where:
PB – Pressure at turbine inlet, KPa
vB – velocity at inlet, m/sec
ZB – turbine setting, m
- specific weight of water, KN/m3
43. 2. Water Power (Fluid Power)
FP = Q h KW
Where:
Q – discharge, m3/sec
3. Brake or Shaft Power
BP
2 TN
KW
60,000
Where:
T – Brake torque, N-m
N – number of RPM
4. Turbine Efficiency
BP
e
x 100%
FP
e eh evem
Where:
eh – hydraulic efficiency
ev – volumetric efficiency
em – mechanical efficiency
44. 5. Generator Efficency
g
g
Generator Output
x 100%
Brake or Shaft power
GP
x 100%
BP
6. Generator Speed
N
120f
RPM
n
Where:
N – speed, RPM
f – frequency in cps or Hertz
n – no. of generator poles (usually divisible by four)
45. Pump-Storage Hydroelectric power plant: During power generation the turbine-pump acts
as a turbine and during off-peak period it acts as a pump, pumping water from the
lower pool (tailrace) back to the upper pool (headrace).
Turbine-Pump
46. A 300 mm pipe is connected by a reducer to a 100 mm pipe. Points 1 and 2 are at the
same elevation. The pressure at point 1 is 200 KPa. Q = 30 L/sec flowing from 1 to 2, and
the energy lost between 1 and 2 is equivalent to 20 KPa. Compute the pressure at 2 if the
liquid is oil with S = 0.80. (174.2 KPa)
300 mm
100 mm
1
2
47. A venturi meter having a diameter of 150 mm at the throat is installed in a 300 mm
water main. In a differential gage partly filled with mercury (the remainder of the tube
being filled with water) and connected with the meter at the inlet and at the
throat, what would be the difference in level of the mercury columns if the discharge is
150 L/sec? Neglect loss of head. (h=273 mm)
48. The liquid in the figure has a specific gravity of 1.5. The gas pressure PA is 35 KPa and PB is 15 KPa. The orifice is 100 mm in diameter with Cd = Cv = 0.95. Determine the velocity in
the jet and the discharge when h = 1.2. (9.025 m/sec; 0.071 m3/sec)
PA
1.2 m
PB