Menoufia University, Faculty of EngineeringERJ. Engineering Research Journal1110-118042320190701ESTIMATION OF INDUCTION MOTOR MODEL PARAMETERS - CASE STUDY1771826625710.21608/erjm.2019.66257ENMahmoud A.Al-AhmarElectrical Engineering Department, Faculty of Engineering, Benha University
Cairo, EgyptJournal Article20191225Modern control methods in the operation of different electrical machines are essential to develop <br />an integrated mathematical model for the machine. The model is to calculate its inputs and <br />outputs, which should match the performance of the machine. In order that, the model gives <br />accurate inputs and outputs that matching the machine, it is necessary to introduce model <br />parameters that are calculated according to machine rating as well as some laboratory <br />measurements on the machine. In this research, a model of three phase induction motor is used to <br />obtain the parameters of the proposed model using different methods. The calculations using that <br />model can provide all laboratory operating results of the motor and satisfy its data sheet <br />information. In this paper, different methods are used to estimate the parameters; curve fitting <br />algorithm and iteration method. Accurate results of the model are obtained. The obtained results <br />from the different methods are compared with the measured and show good agreement. Utilizing <br />the slip-torque and slip-current motor characteristic, the estimation method is exhibited with some <br />basic numerical illustrations.Menoufia University, Faculty of EngineeringERJ. Engineering Research Journal1110-118042320190701Assessment of the Surface Roughness and the Delamination in Drilling Hole of Al/SiCp MMCs1832006625810.21608/erjm.2019.66258ENAbeer S.EisaLecture, Production Engineering & Mech. Design Dept.,
Faculty of Engineering, Menoufiya University, Egypt.Journal Article20191225In this research, the analysis of the experimental results has been carried out to study the influence of <br />the following input process parameters; three of the cutting speeds, five of the feed rates and five of <br />the drill tools (HSS - different point angles-same diameter) on the process responses, i.e. the <br />delamination factor (df) and the surface roughness (Ra) of the drilled hole. The drilling has been <br />carried out on the plate of AL/SiCp MMC, with using three of volume fraction ratios. The results <br />indicated that the delamination factor (df) is increased with the increase of; the feed rate, the tool point <br />angle, the cutting speed and with the increase of volume fraction ratios. In addition, the surface <br />roughness (Ra) of the drilled hole is increased with the increase of; the feed rate, the tool point angle <br />and with the increase of volume fraction ratios, but decreases with the increase of the cutting speed.Menoufia University, Faculty of EngineeringERJ. Engineering Research Journal1110-118042320190701Prediction of the Surface Roughness for Milling of GFRP Composites Using R.S.M. and ANN2012106625910.21608/erjm.2019.66259ENAbeer S.EisaLecture, Production Engineering & Mech. Design Dept., Faculty of Engineering,
Menoufiya University, EgyptJournal Article20191225The prediction of the surface roughness for the end-milling process is a very important economic consideration to decrease <br />the production cost in manufacturing environments. In this research, the prediction of the surface roughness (Ra) for GFRP <br />composite material based on the cutting parameters; the cutting speed, the feed rate, the volume fraction ratio and the cutter <br />diameter are studied. Response Surface Methodology (RSM) and Artificial Neural Network (ANN) are used to present the <br />application to predicting the surface roughness for end milling process. The results revealed that; the deviation between the <br />experimental results and the predicted values using (ANOVA) is between (-0.2 and 0.3) and for (ANN) is between (-0.3 and <br />0.1). The cutting speed and the feed rate are the most significant factors followed by the volume fraction ratio and the cutter <br />diameter respectively. The used techniques, (RSM) and (ANN) can be used for direct evaluation of (Ra) under various <br />combinations of machining parameters during end milling of the GFRP composite materials.Menoufia University, Faculty of EngineeringERJ. Engineering Research Journal1110-118042320190701A MULTI-CRITERIA DECISION MAKING MODEL FOR CERAMIC TILES CONVEYOR SELECTION2112176626010.21608/erjm.2019.66260ENOmayma A.NadaProduction Engineering and Mechanical Design Department, Faculty of Engineering,
Menoufia University, Shebin El-kom, Menoufia, Egypt.Journal Article20191225Material handling is one of the activities in manufacturing that can drastically affect not only the <br />production cost but also the performance of the entire line, particularly in continuous and transfer <br />manufacturing system. Therefore, selecting the most appropriate material handling equipment is a <br />critical decision that should be could be carefully studied in the early stages of manufacturing <br />system design. This paper is mainly concerned with selecting the most appropriate conveyor for <br />handling ceramic tiles during it production phases. The handling process in this application is <br />characterized by dealing with fragile product as well as exposure to high temperature. Generally, <br />such a decision inherently entails several conflicting qualitative and quantitative criteria. <br />Accordingly, a multi-criteria decision making model has been developed using the Analytic <br />Hierarchy Process (AHP) to assist the system designer in selecting the most appropriate conveyor. <br />In this study, four conveyor alternatives have been considered. The results of the model <br />implementation recommended slat conveyors as the best alternative for serving in the ceramic tile <br />manufacturing environment, followed by belt and chain conveyors, while the last one in the <br />ranking is the roller conveyor. Besides, the developed model can be used to perform sensitivity <br />analysis to explore how the decision could be affected in response to changes in the decision <br />maker’s preferences related to the considered criteria.Menoufia University, Faculty of EngineeringERJ. Engineering Research Journal1110-118042320190701MULTI-OBJECTIVE OPTIMIZATION OF PLASMA ARC CUTTING PROCESS USING MOORA COMBINED WITH GA2182306626110.21608/erjm.2019.66261ENA.HamdyFaculty of Engineering, Menoufia University, Shebin Elkom, EgyptM.FattouhFaculty of Engineering, Menoufia University, Shebin Elkom, EgyptS.AbaasFaculty of Engineering, Menoufia University, Shebin Elkom, EgyptR.MasoudFaculty of Engineering, Menoufia University, Shebin Elkom, EgyptJournal Article20191225In this work, cutting parameters were optimized in plasma arc cutting process of mild steel by application of <br />multi-objective optimization by ratio analysis (MOORA) method. Standard deviation (SDV) concept has been <br />used to allocate the weight criteria of each objective being reflected. Cutting speed, arc current, and standoff <br />distance were nominated as setting parameters for optimization the kerf characteristics in the straight-slit <br />cutting (kerf taper, dross, surface roughness and maximization of material removal rate). MOORA was used to <br />transform multiple responses into a single characteristic index known as multi performance characteristic index <br />(MPCI). MPCI was modeled by the use of genetic algorithm (GA). With this action an attempt was made to <br />find more precise dependence of MPCI with cutting parameters. Finally, this was followed by optimization of <br />the MPCI in plasma arc cutting using genetic algorithm. This has also been that, SDV-MOORA-GA method <br />has effectively optimized the plasma arc cutting process parameters used in this study.Menoufia University, Faculty of EngineeringERJ. Engineering Research Journal1110-118042320190701Effect of Cooling Mode on the Performance of a Solar Driven Natural Vacuum Desalination System2312406626210.21608/erjm.2019.66262ENM.I.MahrousMechanical Power Engineering Department, Faculty of Engineering,
Menoufiya University, Shebin El-Kom, EGYPTH.KotbMechanical Power Engineering Department, Faculty of Engineering,
Menoufiya University, Shebin El-Kom, EGYPTE.H.AmerMechanical Power Engineering Department, Faculty of Engineering,
Menoufiya University, Shebin El-Kom, EGYPTA.R.El-GhalbanMechanical Power Engineering Department, Faculty of Engineering,
Menoufiya University, Shebin El-Kom, EGYPTJournal Article20191225A solar driven sea water desalination system operating under natural vacuum has been developed, <br />constructed and tested. The system utilizes the natural forces of gravity and atmospheric pressure to create <br />vacuum under which water can be evaporated at temperatures lower than those in conventional techniques <br />and allowing the use of low -grade heat sources. The proposed desalination system consists of a condenser <br />and a solar flat plate collector acting as an evaporator. An extensive experimental study has been carried <br />out to investigate the effect of condenser cooling mode on the system performance. The external surface of <br />the condenser has been cooled by using three cooling modes; namely, free convection air cooling, forced <br />convection air cooling, and forced convection water cooling. The effect of cooling modes on the system <br />performance has been studied under actual weather conditions. The system performance has been <br />characterized by its fresh water productivity and the performance ratio. The results showed that forced <br />cooling mode causes a lower pressure inside the system than free cooling mode, and water cooling is more <br />effective than air cooling. The average pressure inside the system is about 0.122, 0.106, and 0.09 bars <br />absolute respectively for free air cooling, forced air cooling and water cooling. The cumulative productivity <br />is maximum in the case of external water cooled reaching a value of 6.6 l/m2<br />.day. In case of forced and free <br />air convection, the daily system productivity 5.3 and 2.7 l/m2<br />.day respectively. The average performance <br />ratio was about 70 % which is twice the value for a conventional solar still reported in the literature.Menoufia University, Faculty of EngineeringERJ. Engineering Research Journal1110-118042320190701State of the art review: Strengthening of reinforced and pre-stressed concrete beams using externally bonded technique2412476626310.21608/erjm.2019.66263ENM. A.ELSHIEKHMS Candidate at Department of Civil Engineering, Faculty of Engineering, Menoufia
University, Egypt.M. A.TayelProfessor of Reinforced Concrete Structures at Department of Civil Engineering, Faculty of
Engineering, Menoufia University, Egypt.K. M.HeizaProfessor of Reinforced Concrete Structures at Department of Civil Engineering, Faculty of
Engineering, Menoufia University, Egypt.Journal Article20191225Corrosion or other types of degradation caused by aging, etc. under environmental influences, poor routine <br />maintenance leads to deterioration of concrete structures, which required repairing of these structures. In addition,<br />structures, which needs to increase load carrying capacity because of changing usage, or considering some of<br />design and construction defects due to poor quality control, must strengthened. So studying the effect of different <br />methods of strengthening is very important. Using of fiber-reinforced polymers (FRP) is one of the more widely <br />accepted methods for strengthening and repairing of reinforced concrete (RC) and prestressed concrete structural <br />elements. FRP had a number of benefit characteristic such as lightweight due to low density, easy handling, high <br />strength, high stiffness and high corrosion resistance, which make it durability and require less maintenance.