Filtration of Liquids - Chapter 4 solution (Particle Technology by Holdich)Bobby Canja
This is the my own solution to chapter 4 problems from Fundamentals of Particle Technology by Holdich. I hope it helped you. :) Just e-mail me if ever there are corrections at vic_zhou14@yahoo.com.ph.
-Detective Freddie
Classification of signals
Deterministic and Random signals
Continuous time and discrete time signal
Even (symmetric) and Odd (Anti-symmetric) signal
Periodic and Aperiodic signal
Energy and Power signal
Causal and Non-causal signal
Kalman filter is a algorithm of predicting the future state of a system based on the previous ones.
In the presentation, I introduce to basic Kalman filtering step by step, with providing examples for better understanding.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
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.
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Filtration of Liquids - Chapter 4 solution (Particle Technology by Holdich)Bobby Canja
This is the my own solution to chapter 4 problems from Fundamentals of Particle Technology by Holdich. I hope it helped you. :) Just e-mail me if ever there are corrections at vic_zhou14@yahoo.com.ph.
-Detective Freddie
Classification of signals
Deterministic and Random signals
Continuous time and discrete time signal
Even (symmetric) and Odd (Anti-symmetric) signal
Periodic and Aperiodic signal
Energy and Power signal
Causal and Non-causal signal
Kalman filter is a algorithm of predicting the future state of a system based on the previous ones.
In the presentation, I introduce to basic Kalman filtering step by step, with providing examples for better understanding.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
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.
This is a assigned group presentation given by my Computer Science course teacher at Green University of Bangladesh, Bangladesh.
My Presentation Topic was - Cloud Computing
This group presentation includes the work Md. Shahidul Islam Prodhan, pages no 10 - 15.
www.facebook.com/TheShahidul
www.twitter.com/TheShahidul
www.linkedin.com/TheShahidul
Natalia Rutkowska - BIM School Course in Krakówbim.edu.pl
Teaching effects after 128 hours of Building Information Modeling course in Cracow, Poland. Natalia works in Revit, Navisworks and Dynamo for BIM Coordination position. More https://bim.edu.pl or https://bimedu.eu
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.
Construction method of steel structure space frame .pptxwendy cai
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Toll tax management system project report..pdfKamal Acharya
Toll Tax Management System is a web based application that can provide all the information related to toll plazas and the passenger checks in and pays the amount, then he/she will be provided by a receipt. With this receipt he/she can leave the toll booth without waiting for any verification call.
The information would also cover registration of staff, toll plaza collection, toll plaza collection entry for vehicles, date wise report entry, Vehicle passes and passes reports b/w dates.
Online resume builder management system project report.pdfKamal Acharya
This project aims at the Introduction to app Service Management.
This software is designed keeping in mind the user’s efficiency & ease of handling and maintenance , as and secured system over centralized data handling and providing with the features to get the complete study and control over the business.
The report depicts the basics logic used for software development long with the Activity diagrams so that logics may be apprehended without difficulty.
For detailed information, screen layouts, provided along with this report can be viewed.
Although this report is prepared with considering the results required these may be across since the project is subjected to future enhancements as per the need of organizations.
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Laundry management system project report.pdfKamal Acharya
Laundry firms currently use a manual system for the management and maintenance of critical information. The current system requires numerous paper forms, with data stores spread throughout the laundry management infrastructure. Often information is incomplete or does not follow management standards. Records are often lost in transit during computation requiring a comprehensive auditing process to ensure that no vital information is lost. Multiple copies of the same information exist in the laundry firm data and may lead to inconsistencies in data in various data stores.
A significant part of the operation of any laundry firm involves the acquisition, management and timely retrieval of great volumes of information. This information typically involves; customer personal information and clothing records history, user information, price of delivery and received date, users scheduling as regards customers details and dealings in service rendered, also our products package waiting list. All of this information must be managed in an efficient and cost wise fashion so that the organization resources may be effectively utilized.
We present the design and implementation of a laundry database management system (LBMS) used in a laundry establishment. Laundry firms are usually faced with difficulties in keeping detailed records of customers clothing; this little problem as seen to most laundry firms is highly discouraging as customers are filled with disappointments, arising from issues such as customer clothes mix-ups and untimely retrieval of clothes. The aim of this application is to determine the number of clothes collected, in relation to their owners, as this also helps the users fix a date for the collection of their clothes. Also customer’s information is secured, as a specific id is allocated per registration to avoid contrasting information.
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.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Q.1 A single plate clutch with both sides of the plate effective is required to transmit 25 kW at 1600 r.p.m. The outer diameter of the plate is limited to 300 mm and the intensity of pressure between the plates not to exceed 0.07N / m * m ^ 2 Assuming uniform wear and coefficient of friction 0.3, find the inner diameter of the plates and the axial force necessary to engage the clutch.
Q.2 A multiple disc clutch has radial width of the friction material as 1/5th of the maximum radius. The coefficient of friction is 0.25. Find the total number of discs required to transmit 60 kW at 3000 r.p.m. The maximum diameter of the clutch is 250 mm and the axial force is limited to 600 N. Also find the mean unit pressure on each contact surface.
Q.3 A cone clutch is to be designed to transmit 7.5 kW at 900 r.p.m. The cone has a face angle of 12°. The width of the face is half of the mean radius and the normal pressure between the contact faces is not to exceed 0.09 N/mm². Assuming uniform wear and the coefficient of friction between the contact faces as 0.2, find the main dimensions of the clutch and the axial force required to engage the clutch.
Q.4 A cone clutch is mounted on a shaft which transmits power at 225 r.p.m. The small diameter of the cone is 230 mm, the cone face is 50 mm and the cone face makes an angle of 15 deg with the horizontal. Determine the axial force necessary to engage the clutch to transmit 4.5 kW if the coefficient of friction of the contact surfaces is 0.25. What is the maximum pressure on the contact surfaces assuming uniform wear?
Q.5 A soft surface cone clutch transmits a torque of 200 N-m at 1250 r.p.m. The larger diameter of the clutch is 350 mm. The cone pitch angle is 7.5 deg and the face width is 65 mm. If the coefficient of friction is 0.2. find:
1. the axial force required to transmit the torque:
2. the axial force required to engage the clutch;
3. the average normal pressure on the contact surfaces when the maximum torque is being transmitted; and
4. the maximum normal pressure assuming uniform wear.
Q.6 A single block brake, as shown in Fig. 1. has the drum diameter 250 mm. The angle of contact is 90° and the coefficient of friction between the drum and the lining is 0.35. If the torque transmitted by the brake is 70 N-m, find the force P required to operate the brake. Q.7 The layout and dimensions of a double shoe brake is shown in Fig. 2. The diameter of the
brake drum is 300 mm and the contact angle for each shoe is 90°. If the coefficient of friction for the brake lining and the drum is 0.4, find the spring force necessary to transmit a torque of 30 N-m. Also determine the width of the brake shoes, if the bearing pressure on the lining material is not to exceed 0.28N / m * m ^ 2
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
2. Lecture 10
• Lecture topics
1. Numerical problem solution
2. Dynamic error in first order system
2
3. Numerical problem related to
second order system
1. Step Response
A force sensor has a mass of 0.5 kg, stiffness of 2 × 102 Nm−1 and a damping
constant of 6.0 N s m−1.
A. Calculate the steady-state sensitivity, natural frequency and damping ratio
for the sensor.
B. Calculate the displacement of the sensor for a steady input force of 2 N.
C. If the input force is suddenly increased from 2 to 3 N, derive an expression
for the resulting displacement of the sensor
3
4. • Solution
A.
i. Steady state sensitivity of a second order system can be given by,
ii. Natural frequency of a second order system is,
iii. And, damping ratio is
4
𝑲 =
𝟏
𝒌
…(7.20)
𝝎𝒏 = 𝒌
𝒎 …(7.8)
𝝃 =
𝝀
𝟐 𝒌 ∙ 𝒎
…(7.9)
5. • Solution
Given data,
• Spring stiffness, k = 2 × 102 Nm−1
• Sensor mass, m = 0.5 kg
• Damping constant, λ = 6.0 N s m−1
• Putting the values in respective equations
• Steady state sensitivity
• Natural frequency
• Damping ratio
5
𝑲 =
𝟏
𝟐 × 𝟏𝟎𝟐
= 𝟓 × 𝟏𝟎−𝟑 mN−1
𝝎𝒏 = 𝟐 × 𝟏𝟎𝟐
𝟎. 𝟓 = 𝟐𝟎 rad/s
𝝃 =
𝟔. 𝟎
𝟐 𝟐 × 𝟏𝟎𝟐 ∙ 𝟎. 𝟓
= 𝟎. 𝟑
6. • Solution
B.
i. Steady state response of second order system can be given by,
• Previously calculated,
• Steady state sensitivity, K = 5 ×10-3 mN-1
• Given data,
• Steady state input, Is = 2 N
Therefore, the sensor output will be,
6
𝑶𝒔 = 𝑲 ∙ 𝑰𝒔
𝑶𝒔 = 𝟓 × 𝟏𝟎−𝟑
∙ 𝟐 = 𝟎. 𝟎𝟏 m
7. • Solution
C.
i. The system is underdamped as damping ratio = 0.3. Therefore Step
response of the system can be given by,
• Previously calculated,
• Damping ratio, ξ = 0.3
• Natural frequency, ωn= 20 rad s-1
• Given data
• Initial output, O(t-) = 0.01 m (This is steady state output)
• Initial input, I(t-) = 2 N
• Final input, I(t) = 3 N
• Therefore, step height, H = I(0) - I(0-) = 3 – 2 = 1 N
7
Or, 𝒇𝟎 𝒕 = 𝟏 − 𝒆−𝝃𝝎𝒏𝒕 cos 𝝎𝒅𝑡 +
𝝃
𝟏 − 𝝃𝟐
sin 𝝎𝒅𝑡
…(10.25)
8. • Solution
C.
• Therefore, the expression for sensor output will be,
• Putting the values,
8
𝑶 𝒕 = 𝑶 𝒕 − + 𝑲 ∙ 𝑯 ∙ 𝟏 − 𝒆−𝝃𝝎𝒏𝒕
cos 𝝎𝒏 𝟏 − 𝝃𝟐𝑡 +
𝝃
𝟏 − 𝝃𝟐
sin 𝝎𝒏 𝟏 − 𝝃𝟐𝒕
𝑶 𝒕 = 𝟏 × 𝟏𝟎−𝟐
+ 𝟓 × 𝟏𝟎−𝟑
∙ 𝟏 ∙ 𝟏 − 𝒆−𝟎.𝟑∙𝟐𝟎𝒕
cos 𝟐𝟎 𝟏 − 𝟎. 𝟑𝟐𝑡 +
𝟎. 𝟑
𝟏 − 𝟎. 𝟑𝟐
sin 𝟐𝟎 𝟏 − 𝟎. 𝟑𝟐𝒕
𝑶 𝒕 = 𝟏 × 𝟏𝟎−𝟐 + 𝟓 × 𝟏𝟎−𝟑 𝟏 − 𝒆−𝟔𝒕 cos 𝟏𝟗. 𝟎8𝑡 + 𝟎. 𝟑𝟑 sin 𝟏𝟗. 𝟎𝟖𝒕
9. Dynamic errors in first order
system
If there are n number of elements in the system, each of which is having steady
state sensitivity of Ki and transfer function of Gi(s), then overall transfer function of
system becomes,
9
∆𝑶(𝒔)
∆𝑰(𝒔)
= 𝑮 𝒔 = 𝑮𝟏(𝒔) ∙ 𝑮𝟐(𝒔) ∙ ⋯ ∙ 𝑮𝒊(𝒔) ∙ 𝑮𝒏(𝒔) …(12.1)
Or, ∆𝑶(𝒔) = ∆𝑰(𝒔) ∙ 𝑮 𝒔
Or, ∆𝑶(𝒕) = ℒ−𝟏
∆𝑰(𝒔) ∙ 𝑮 𝒔 …(12.2)
10. Dynamic errors in first order
system
Now error can be given by,
Using Eq. 12.2
Now if the input signal is sinusoidal i.e. 𝐼 𝑠𝑖𝑛 𝜔𝑡 , The output signal will be,
The error will be
10
𝑬 𝒕 = ∆𝑶 𝒕 − ∆𝑰 𝒕
𝑬 𝒕 = ℒ−𝟏 ∆𝑰(𝒔) ∙ 𝑮 𝒔 − ∆𝑰 𝒕 …(12.3)
∆𝑶(𝒕) = 𝑮 𝒋𝜔 ∙ 𝐼 sin 𝜔𝑡 + 𝝋 …(12.4)
𝑬 𝒕 = 𝑮 𝒋𝜔 ∙ 𝐼 sin 𝜔𝑡 + 𝝋 − 𝐼 sin 𝜔𝑡
Or, 𝑬 𝒕 = 𝑰 ∙ 𝑮 𝒋𝜔 sin 𝜔𝑡 + 𝝋 − sin 𝜔𝑡 …(12.5)
11. Dynamic errors in first order
system
Now if the input signal is periodic (combination of more than one sinusoid),
The output signal will become
11
∆𝑶(𝒕) =
𝒏=𝟏
∞
𝑰𝒏 𝑮 𝒋𝒏𝜔𝟏 sin 𝒏𝜔𝟏𝑡 + 𝝋𝒏 …(12.7)
𝑬 𝒕 =
𝒏=𝟏
∞
𝑰𝒏 𝑮 𝒋𝒏𝜔𝟏 sin 𝒏𝜔𝟏𝑡 + 𝝋𝒏 − sin 𝒏𝜔𝟏𝑡 …(12.8)
∆𝑰(𝒕) =
𝒏=𝟏
∞
𝑰𝒏 sin 𝒏𝜔𝟏𝑡 …(12.6)
12. Numerical problem related to first
order system dynamic error
1. Sinusoidal Response
A temperature measurement system for a gas reactor consists of linear
elements and has an overall steady-state sensitivity of unity. The temperature
sensor has a time constant of 5.0 s; an ideal low-pass filter with a cut-off
frequency of 0.05 Hz is also present. The input temperature signal is periodic
with period 63 s and can be approximated by the Fourier series:
Where ω0 is the angular frequency of the fundamental component.
Calculate expressions for the time response of:
(i) The system output signal
(ii) The system dynamic error.
12
𝑻 𝒕 = 𝟏𝟎 sin 𝜔0𝑡 +
1
2
sin 2𝜔0𝑡 +
𝟏
𝟑
sin 3𝜔0𝑡 +
𝟏
𝟒
sin 4𝜔0𝑡
14. • Solution
The expression for output signal for a first order system with periodic input
may be given by,
• Given data,
Time constant, τ = 5 sec
Angular frequency, ω0 = 2π/T = 0.1 rad/sec
Therefore, sensor transfer function will become,
And phase angle will be,
14
∆𝑶(𝒕) =
𝒏=𝟏
∞
𝑰𝒏 𝑮 𝒋𝒏𝜔𝟎 sin 𝒏𝜔𝟎𝑡 + 𝝋𝒏 …(12.7)
𝑮 jnω0 =
1
1 + 𝜏𝟐(𝒏ω0)𝟐
…(10.5)
𝝋 = tan−𝟏
−nω0𝜏 …(10.6)