Abstract

This project investigated the stresses developed in a thick-walled cylinder for rocket motor case

under internal pressure. Stress analysis used the finite element method with ANSYS software for

rocket motor case selection. This study focus on structural elastic analysis of thick-walled pressure

vessels since it is a common design practice to aim at maintaining the induced stresses within the

elastic region. However, pressure vessels operate under complex environments such as high

pressure which may lead to gross plastic deformation and subsequent failure. In process, the

pressure vessel is pressurized beyond the yield point. As a result, the conventional elastic analysis

will not be applicable at internal pressures above the yield point. Therefore, it is important to

examine the structural integrity of a thick-walled pressure vessel in both elastic and plastic state

of the material.

In this study, FE static structural analysis of a presumably untracked thick-walled solid rocket

motor case has been presented, where stress distribution within the motor case wall and the

resulting material deformation were investigated using ANSYS 19.2. Motor case has been designed

with uniform model of the same internal and external diameter, and motor case with diameter

change at both sides is modeled to investigate the effect of the diameter change or shape

discontinuity on the resulting of stresses and deformation using ANSYS program by applying

internal pressure varying from 50 Bars to 350 Bar. Von Mises yield criteria were used by ANSYS

program and calculated Von Mises stresses were compared; the results are close for elastic

analysis. The results show that the Von Mises stresses was high for discontinues shape of motor

case compared by the uniform motor case (constant thickness).

It has been noted the wide spread of the use of composite materials due to their specific strength that made them the best alternative to many other materials,However, the high cost of synthetic fibers represents an obstacle to the use of composite materials in most applications. Therefore, research has tended to test natural fibers, which are the ideal solution for using composite materials in many industries such as furniture, flooring, decoration, and others. This paper concerned with the study of natural composite materials made of Libyan almond shells. Three different sizes of ground almond shells were studied: large size in the form of grains, medium size, and the small size (powder form). These crushed peels were mixed with the resinous polyester resin in four proportions: ratio of 80: 20, 60: 40, 40: 60, and 20: 80. Three basic tests were conducted to investigate the mechanical properties of the samplesIt has been noted the wide spread of the use of composite materials due to their specific strength that made them the best alternative to many other materials, However, the high cost of synthetic fibers represents an obstacle to the use of composite materials in most applications. Therefore, research has tended to test natural fibers, which are the ideal solution for using composite materials in many industries such as furniture, flooring, decoration, and others. This paper concerned with the study of natural composite materials made of Libyan almond shells. Three different sizes of ground almond shells were studied: large size in the form of grains, medium size, and the small size (powder form). These crushed peels were mixed with the resinous polyester resin in four proportions: ratio of 80:20, 60:40, 40:60, and 20:80. Three basic tests were conducted to investigate the mechanical properties of the samples: impact test, tensile test, and flexural test. The results showed that samples made of almond peels in a powder form exhibits the best results among all other kind of specimens for three mentioned tests of mechanical properties.

This paper examines on the effect of the reservoir rock permeability on gas injection by using reservoir simulation. This task will be performed by using reservoir simulation software (Eclipse). This injection interacts with CO2 to create conditions favorable for oil recovery. The main target of this project is to investigate the effect of the reservoir rock permeability on gas injection and the optimum injection rate to get the optimum recovery. The problems statement of this study is: As the oil and gas in a formation is produced, the hydrocarbons remaining in the reservoir may become trapped because the pressure in the formation has lessened, making production either slow dramatically or stop altogether. Climate change refers to long-term shifts in temperatures and weather patterns. Burning fossil fuels generates greenhouse gas emissions that act like a blanket wrapped around the Earth, trapping the sun’s heat and raising temperatures. Examples of greenhouse gas emissions that are causing climate change include carbon dioxide and methane. The result of effect of the reservoir rock permeability on gas injection by using reservoir simulation shows that with the increase in the permeability of reservoir rock, the rate of gas production increases. The greater the permeability of rocks, the rate of water production increases, which is a direct method relationship between water production and permeability. We note after this evaluation that the cumulative oil, water, and gas production increases with the increase in rock permeability.

The article discusses exploring the Photovoltaic (PV) emulator for simulating photovoltaic systems for Renewable Energy Analysis (REA) focuses on creating and applying a PV emulator to simulate photovoltaic systems and concludes by emphasizing the value of precise simulation tools in comprehending and enhancing photovoltaic system performance. The first portion of the article emphasizes how renewable energy sources especially solar energy are becoming more and more important in tackling the world's energy problems. As a result, the pv output along with the voltage and current have been presented

This paper employs Monte Carlo Simulation (MCS) to assess how randomly power flow is distributed in Vehicle-to-Grid (V2G) operations. V2G technology facilitates a bidirectional flow of electricity by allowing Electric Vehicles (EVs) to feed excess power back into the grid in addition to drawing power from it. The researchers used Monte Carlo simulation as a computational technique that involves generating random samples to analyze the behaviour of a system, to assess the impact of random variations in power flow on V2G operations. They considered various factors such as EV charging and discharging patterns, grid conditions, and user behaviour to create a realistic simulation environment. The main objective function in this study wants to achieve is to reduce the dependency on the grid and develop a stochastic framework for the efficient management of microgrids with the presence of EVs. reduce cost. As a result, the analysis of the MCS shows the performance of the bidirectional operation, and the output power of the integrated sources is obtained.

Buildings exert a profound influence on the environment, with the design phase recognized as the pivotal determinant of a building’s overall performance. Green building design, in particular, introduces heightened complexity, where the attributes of the design team play a pivotal role in shaping performance outcomes. Consequently, the characteristics of the design team emerge as crucial factors in the enhancement of both green building design performance and client attributes. This study aims to empirically examine a model formulated to gauge the extent to which Effective Design Team Attributes contribute to the enhancement of performance in designing green buildings and influencing client attributes. To achieve this objective, a comprehensive questionnaire survey was administered to professionals within the architecture and engineering domains actively engaged in the design and consulting sectors of the building industry. The collected data underwent meticulous scrutiny for authenticity and dependability using the WINSTEPS 5.2.5 software before undergoing subsequent analysis. Statistical analyses were conducted using SPSS version 19, with Principal Components Analysis (PCA) and the Structural Equation Modeling (SEM) approach implemented through Amos version 18 to derive the most robust model. The findings underscore the pivotal role of an adeptly managed design team in significantly improving both the performance of green building designs and the qualities of clients. Rasch’s analysis confirmed the validity of our 5-point Likert scale for Design Green Building Performance (DGBP), Effective Design Team Attributes …

ABSTRACT

This article presents another method to improve the performance

and efficiency of a gas-fired power plant in Al-Zawia, Libya. In

order to improve power plant efficiency and increase power, the

principle of a heat recovery steam generator (HRSG), which is

mainly based on the waste heat energy of exhaust gases generated

by a simple gas turbine unit, is a method that can be used for

improvement. The present system was simulated using Aspen

HYSYS software. For validation purposes, the simulation results

were compared with the actual operating data, net power and

thermal efficiency of the cycle under the same conditions. These

results show a high level of agreement between theoretical and

practical data. This agreement enables and provides good

implementation to use this software to simulate an entire combined

cycle. In addition, operating parameters that influence power plant

performance were examined. The results show that the combined

cycle improved the thermal efficiency and net power output by

49.8% and 50%, respectively, under the same operating conditions.

The results also showed that compressor pressure ratio and inlet air

temperature have significant effects on thermal efficiency and net

power produced in both simple and combined power plants

Alzheimer's disease (AD) is a complex neurological illness that has several deep reasons. According to recent research, the use of machine learning techniques (ML) on MRI images can assist in identify the brain regions and the connections between them that are implicated in dementia. The study aims to review literature from 2017 to 2023 on the use of machine learning algorithms to identifying and categorize AD. The precision of each machine learning model is assessed, and mind map models are employed to illustrate the study and compare the outcomes.

Abstract. One innovative initiative that shows how technology and creativity can save lives in dire circumstances is the creation of a smart autonomous drone system for Search and Rescue Operations in Libya. The Search and Rescue Drone is a ray of hope that is intended to transform rescue operations by offering a quick and effective way to find persons who are in trouble or who may have been lost in Libya's desert or Mediterranean Sea. A Raspberry Pi, a Pixhawk flying controller, the Internet of Things, and a specially created mobile application are the main parts of the study. With the help of the YOLOv4-tiny module and object detection algorithms, the system enables users to operate the drone and quickly and accurately identify those who go missing in challenging environments. By fusing technological innovation with a humanitarian goal, this paper paves the way for future search and rescue operations in Libya and other nations to be safer and more responsive. The work shows how technology can save lives in dire circumstances and serves as an example of how it can benefit humanity at its most vulnerable times.