This document summarizes the solutions to several problems regarding rocket performance calculations for a rocket with a thrust of 8896 N, propellant consumption of 3.867 kg/s, and flight velocity of 400 m/s. It includes calculations of effective exhaust velocity, kinetic energy of the jet, internal efficiency, propulsive efficiency, overall efficiency, specific impulse, and specific propellant consumption. It also includes calculations of specific power assuming a dry mass of 80 kg and duration of 3 minutes. Finally, it describes plotting the variation of thrust and specific impulse against altitude using atmospheric pressure data and engine parameters from tables.
Production of Electrical Energy by Vertical Axis Maglev WindmillPremier Publishers
This paper deals with wind power generation by elimination of gear system. Using magnetic levitation frictional losses will be avoided and power generated will be improved. Comparing with conventional type vertical axis wind turbine is more efficient that will capture the wind in all directions. Due to maglev, it will be able to rotate in minimum speed of 1m/s and produce alternating voltage. By using permanent magnet (Neodymium) repulsion effect replaces the bearings to reduce the frictional losses and produce power more than conventional type with cost effective.
This paper presents a study analysis of a complete wind energy conversion system, the system based on a doubly fed induction generator (DFIG); a vector control with stator flux orientation of the DFIG is also used to control independently the active and reactive powers. A comparative study have been performed between the conventional PI controller and fuzzy logic control to investigate its dynamic and static performances. This research work involves the study of a phase in advance, to provide effective assistance, to all those who have to make decisions regarding the planning and implementation of wind energy projects. The main objective is to model the wind chain and the use of two types of strategies for the control of this generator to ensure a good regulation we started with the modeling of the wind chain then the modeling of the DFIG and then the use of the two strategies for the regulation of the latter .The complete system is modeled and simulated in the MATLAB/ Simulink. The performance and robustness are analyzed and compared by Matlab / Simulink .Simulation results prove the excellent performance of fuzzy control unit as improving power quality and stability of wind turbine.
Production of Electrical Energy by Vertical Axis Maglev WindmillPremier Publishers
This paper deals with wind power generation by elimination of gear system. Using magnetic levitation frictional losses will be avoided and power generated will be improved. Comparing with conventional type vertical axis wind turbine is more efficient that will capture the wind in all directions. Due to maglev, it will be able to rotate in minimum speed of 1m/s and produce alternating voltage. By using permanent magnet (Neodymium) repulsion effect replaces the bearings to reduce the frictional losses and produce power more than conventional type with cost effective.
This paper presents a study analysis of a complete wind energy conversion system, the system based on a doubly fed induction generator (DFIG); a vector control with stator flux orientation of the DFIG is also used to control independently the active and reactive powers. A comparative study have been performed between the conventional PI controller and fuzzy logic control to investigate its dynamic and static performances. This research work involves the study of a phase in advance, to provide effective assistance, to all those who have to make decisions regarding the planning and implementation of wind energy projects. The main objective is to model the wind chain and the use of two types of strategies for the control of this generator to ensure a good regulation we started with the modeling of the wind chain then the modeling of the DFIG and then the use of the two strategies for the regulation of the latter .The complete system is modeled and simulated in the MATLAB/ Simulink. The performance and robustness are analyzed and compared by Matlab / Simulink .Simulation results prove the excellent performance of fuzzy control unit as improving power quality and stability of wind turbine.
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.
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.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
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.
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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
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
1. الرحيم الرحمن هللا بسم
Sudan University of Science &Technology
College Of Post Graduates Studies
PhD Program in Mechanical Engineering by Courses and
Dissertation
GE 721 - Advanced Combustion
Homework No. (1)
Prepared by student:
Sabir Abushousha Ahmed Abushousha
Supervisor:
Dr. Mohammed Hassan Mohammed Abuuznien
February 2015
2. Question 2
A rocket has a thrust of 8896 N and propellant consumption of 3.867 kg/sec. The
vehicle flies at a velocity of 400 m/sec and the propellant specific energy content
(heat of combustion) is 16.911 megajoule/kg (from Sutton). Find the following:
a. Effective exhaust velocity
b. Kinetic energy of the jet for 1 kg of fuel
c. Internal efficiency (
d. Propulsive efficiency
e. Overall efficiency
f. Specific impulse )
g. Specific propellant consumption
Given the following from the problem statement:
F = 8896 N 𝑚̇ = 3.867
kg
sec
𝑢 = 400
m
sec
QR =6.911⋅106
J/ kg
a. Effective exhaust velocity:
𝐶 =
F
ṁ
=
8896
3.867
= 2300.5
m
sec
b. Specific kinetic energy of the jet:
𝐾𝐸𝑗𝑒𝑡 = 0.5 C2
= 0.5 ∗ (2300.5 )2
= 2.646130 ×106
J /kg
c. Internal efficiency
𝜂𝑖𝑛𝑡 =
𝐾𝐸 𝑗𝑒𝑡
QR
𝜂𝑖𝑛𝑡 =
2.646130 × 106
6.911∗106 = 0.38288 = 38.3
d. Propulsive efficiency
The speed ratio
𝑣 =
u
c
=
400
2300.5
= 0.1739
3. 𝜂 𝑝 =
2 . u
1 + u2
=
2 ∗ 400
1 + (2300.5)2
= 0.3375 = 33.75%
e. Overall efficiency:
𝜂 𝑝 =
F . u
m .̇ QR
=
8896 ∗ 400
3.867 ∗ 6.911 ∗ 106
= 0.1331 = 13.3%
f. Specific impulse:
𝐼𝑠𝑝 =
c
g
=
2300.5
9.81
= 234.6 s
g. Specific propellant consumption:
TSFCW =
1
𝐼𝑠𝑝
=
1
234.5848
= 0.0042629
1
S
Question 4
For the rocket in Problem 2, calculate the specific power, assuming a propulsion system dry
mass of 80 kg and a duration of 3 min.
ṁ =
80
3 ∗ 60
= 0.4444
𝑃𝑗𝑒𝑡 =
1
2
𝐹𝑔0 𝐼𝑠 =
1
2
𝐹𝑔0
𝐶
𝑔0
=
1
2
𝐹 𝐶
𝑃𝑗𝑒𝑡 =
1
2
∗ 𝐹𝑣2 =
1
2
∗ 8896 ∗ 2300.5 = 10232624 𝑤
∝=
𝑃 𝑗𝑒𝑡
𝑚0
=
10232624
80
=127907.8 w
Question 7
Plot the variation of the thrust and specific impulse against altitude,
using the atmospheric pressure information given in Appendix 2, and the
data for the Minuteman first-stage rocket thrust chamber in Table 11-3.
Assume that P2 = 8.66 psia.
Solution
CONVERT THE UNITS 8.66 psi = 59708.598158924 pascal
Assuming a ratio of specific heats to be 1.3 and gas constant to be 345.7 kJ/kg K,
4. FROM TABLE 11
EXIT VELOCITY
𝑣2 = √
2𝑘
𝑘 − 1
𝑅𝑇 [1 − (
𝑝2
𝑝1
)
(𝑘−1)/𝑘
]
Throat area (in 2 ) =164.2 =0.105935272 m2
• Expansion Area Ratio:
10 =
𝐴2
𝐴 𝑡
𝐴2 = 0.105935272 m2 ∗ 10 = 10.6𝑚2
Mass flow rate =A2*v2/V2
THURST 𝐹 = 𝑚̇ 𝑣2 + (𝑝2 − 𝑝3)𝐴2
Specific Impulse 𝐼𝑆 =
F
ṁ g0
All data are tabulated in excel sheet attached to the home work
0.1013 MPa
atmospheric pressure which has the value
*
A
A
A
A e
throat
exit