Prefacedoi: 10.1088/1742-6596/2811/1/011001pmid: N/A
12th International Scientific Conference of The Military Technical College 21-23 May, 2024Conference Program of The 21St International Conference on Applied Mechanics and Mechanical Engineering, (AMME-21)Cairo 2024The military Technical College has the pleasure to organize the 21St International Conference on Applied Mechanics and Mechanical Engineering, (AMME-21) which is sponsored by the Ministry of Defense in the period 21-23 May, 2024.The main objective of this conference is to bring together scientific researchers and engineers of Egyptian armed forces and their colleages in the international academic and industrial institutions. This occasion provides a chance to exchange information in the following designated fields of interest1- Mechanical Power Engineering MP2- Robotic, Automation and Control RC3- Dynamics and Vibration DV4- Material Science and Processing MS5- Production Technology PT6- Solid Mechanics SM7- Mechanical Design MD8- Automotive Engineering AE9- Mechatronics MC10- Ballistics BL11- Acoustics and Noise Control ANFrom the manuscripts submitted to the conference secretary, 41 papers have been accepted. These selected papers will be presented during the conference interval 21-23 May 2024 in 10 sessions.Finally, the conference committee hopes that the conference will achieve its planed mission and would like to acknowledge all contributors, membes of scientific committees, chairman and board members of the conference sessions.Note:Please remember that you have only 15-h20 min. to present your paper and 5 min. for discussionProf. Dr. Shawky A. HegazyAMME-21 Conference RapporteurList of Conference Committee, Contributors, Conference Program, Location of Conference Halls, Part I: Scientific Sessions, Part II: Seminars / Invited talk and Part III: Authors Index are available in this Pdf.
Inverse Kinematics Analysis of a 2-DOF Stabilized Platform using Simulink and SimscapeKoraaa, Mahmoud M.; Ghamry, Khaled A.; Abo-Elnor, Mootaz E.; Elsherif, Ibrahim A.
doi: 10.1088/1742-6596/2811/1/012003pmid: N/A
This paper presents a parallel manipulator with two universal-prismatic-universal (UPU)-type active limbs and one revolute-spherical (RS)-type passive limb which is used as a stabilizing platform based on the shipboard helicopter’s landing process and its kinematics are studied systematically. First, a 3D model of this stabilized platform is constructed, and its degrees of freedom are analyzed. Second, analytic formulas for solving the inverse kinematics and calculating the required lengths of each limb are derived and modeled using Simulink®. Third, a Simscape™ model is constructed for the proposed design, and finally, the comparison of the results between the two models is done.
Kalman filter-based sensor fusion for Ackermann steering mobile robotsPeiris, M; Lang, H; El-Gindy, M
doi: 10.1088/1742-6596/2811/1/012004pmid: N/A
Autonomous navigation technologies are continuously improving in terms of performance and safety. A key subfield of autonomous navigation for mobile robots is localization or precise positioning, involving the robot understanding its position relative to key points of interest in the environment. Traditionally, localization is purely dependent on the quality of input received from onboard sensors and therefore localization quality degrades in the presence of high sensor error or other faults. Sensor fusion is useful to combat this. Sensor fusion is used to combine various data types from different sensors to gain a lower overall uncertainty or error in the resulting data, when compared to the separate data from each individual sensor. In this study a four-wheel mobile robot with front-wheel driving and steering is localized during navigation. The investigation is performed in simulation and with a physical prototype. The mobile robot has several sensors including a wheel encoder on each wheel, an inertial measurement unit as well as an indoor GPS system. A designed Kalman Filter called The Combined Kalman Filter has been designed to fuse the sensor input data in order to output the position data required to localize the robot in (X, Y) cartesian coordinates. This is completed in the presence of sensor bias error and noise with the output path compared against a pre-selected ground truth trajectory. The proposed filter is based on the Extended Kalman Filter to contend with the non-linear model arising from the four-wheel steerable robot with the steering system following the Ackermann steering condition. The robot model and sensors are simulated in MATLAB for a chosen ground truth trajectory with results highlighting any detected faults and final accurate position information. It was seen that the estimated filter output had high accuracy when compared with the ground truth. Compared with other investigations the proposed filter has reduced mean error and minimal deviations compared with the ground truth path. In addition, this filtering model can be used in general for the localization of other actuated steering vehicles and aims to widen the research in this field as the majority of research in this area leverages differential drive robots which require less complex modeling.
Enhancement of Energy Harvesting PTO Against Nonlinear Waves Using Control SystemFarag, M M Diaa El-Din H; Shehab, Ali
doi: 10.1088/1742-6596/2811/1/012037pmid: N/A
Many systems include turbines, linear electromagnetic or hydroelectric components, as well as wave energy converters designed particularly for energy harvesting from ocean and sea waves. While each of these methods has its merits, it is also feasible to harvest a considerable quantity of energy generated by the sea and ocean waves. Wave energy is considered a renewable and ecologically friendly energy source. It is harvested through wave energy converters and is particularly useful to coastal nations. In this paper, a mechanical motion rectifier (MMR) is proposed to convert the bidirectional reciprocating movement of a floating body above the nonlinear wave into a rotating movement in one direction. Experimental investigations are carried out to examine the performance of the system. An experimental wave tank was built to produce nonlinear waves by controlled flapper motion. Mechanical and electrical efficiency were investigated for both systems. Through the use of a generator, the energy can be taken in the form of electrical energy and stored in appropriate batteries, resulting in clean and sustainable energy from the sea’s waves.
Investigation of the factors affecting the heat transfer mechanism of the centrifugal material castingGomaa, Kamal
doi: 10.1088/1742-6596/2811/1/012017pmid: N/A
The material casting by centrifugal technique has several potential advantages over the traditional casting methods such as; time saving, accurate dimensions, good surface finishing, purities, faster solidification, and porosity. The heat transfer mechanisms of the centrifugal material casting technique is presently investigated because of its great influences in the productivity, facilities life and production energy of that technique. Consequently, the current study provides a semi-comprehensive analytical and experimental investigation for the heat transfer mechanisms of the centrifugal material casting. The present work shows that the thermophysical properties of the casting material, the rotational speeds of the centrifugal mold and the types of the centrifugal technique have deeply affected the centrifugal heat transfer mechanism. Eventually, the developing and improving the cooling systems of the centrifugal molds are indeed needs due to modify the material casting by centrifugal techniques.
Optimization of dielectric oils for immersion liquid cooling of server rackMohammed, Nada; El-Maghlany, Wael; Elhelw, Mohamed; Abdelaziz, Ahmed
doi: 10.1088/1742-6596/2811/1/012008pmid: N/A
In this research, two-phase immersion cooling is utilized to cool a server rack of 8 kW that contains 42 servers. Three-dimensional numerical simulation of server rack model is analyzed by ANSYS 18.1, Computational Fluid Dynamics (CFD). Comparative analysis between two types of dielectric engineered oils is performed, FC-72 and a new oil technology SF-33. The simulation shows a great decrease in temperature ranges for model using SF-33 oil with 34% decrease of the minimum temperature where the most surfaces of servers are at temperatures between 37 °C to 48 °C. Using SF-33 oil makes the hot spot temperature is higher than that for FC-72 by about 3°C. Power consumption for cooling with SF-33 oil is higher due to higher amount of vapor.
The Impact of Incorporating Varying Proportions of Sugar Beet Waste on the Combustion Process and Emissions in Industrial Burner Fuelled with Conventional Diesel FuelElkelawy, M; Bastawissi, H A; Abdel-Rahman, AK; Abou-elyazied, A; El-malla, S
doi: 10.1088/1742-6596/2811/1/012005pmid: N/A
The main objective of the case study is to investigate the effectiveness of using solid fuel additives in conventional diesel fuel for industrial furnaces. The study focuses on utilizing agricultural waste derived from sugar beet plant waste as additives to enhance the combustion process and reduce emissions from industrial burners. In this study, experimental measurent for the flame temperatures inside the furnace while altering the proportions of the solid materials have ben achived. The goal was to assess the impact of different loading from these additives on the combustionprocess. Furthermore, the study involved measuring exhaust gases such as carbon monoxide (CO), carbon dioxide (CO2), unburned hydrocarbon (UH), and nitrogen oxides (NOx). The experimental facility arranment allowed the researchers to evaluate the emissions resulting from the combustion process with the addition of solid fuel additives. By measuring these parameters, the study aimed to understand the effect of utilizing agricultural waste as additives on the burning processes and emission formation in industrial furnaces. These findings can contribute to improving the efficiency of combustion processes, reducing emissions, and promoting the utilization of renewable and sustainable fuel sources in industrial settings. In this study, varying the proportions of solid materials used as additives had an impact on the levels of carbon monoxide (CO), carbon dioxide (CO2), and nitrogen oxides (NOx) in the exhaust gases. By increasing the proportion of solid materials in the fuel mixture resulted in changes in the emission levels. The levels of carbon monoxide in the exhaust gases decreased as the proportion of solid materials increased. While the addition of solid fuel additives did contribute to the production of CO2 due to the combustion of the additives, the overall effect on its levels varied depending on the specific proportions used. Also, the levels of nitrogen oxides in the exhaust gases showed different trends depending on the proportions of solid materials used. Typically, increasing the proportion of solid fuel additives led to reduce NOx emissions. However, this may also depend on other factors such as combustion temperature and the composition of the solid materials.
Optimizing ORB-SLAM For Varied Weather Conditions Using Genetic AlgorithmFekry, John E.; Awad, Mohammed I.; Ibrahim, Fady
doi: 10.1088/1742-6596/2811/1/012029pmid: N/A
In the rapidly evolving domains of self-driving cars, the resilience of Simultaneous Localization and Mapping (SLAM) algorithms to varying environmental conditions remains a critical challenge. This paper leverages the CARLA simulator to create comprehensive datasets that encompass an array of weather scenarios, ranging from clear sky to complex combinations of fog and rain, during both daytime and nighttime. The primary objective of this study is to optimize the performance of ORB-SLAM2 under these harsh conditions, improving resilience and robustness against different weather conditions. The evaluation is conducted using the Root Mean Square Error (RMSE) as the key metric. Genetic Algorithm (GA) is developed to optimize the parameters of ORB-SLAM. The GA aims to reduce the RMSE for each unique weather situation. The results show a significant improvement in ORB-SLAM’s performance and resilience, contributing to its potential applications in the broader landscape of autonomous systems and intelligent mobility networks.
Modelling and Parametric Study for Panel Flutter Problem using Functionally Graded MaterialsFayed, Mohamed E; Semary, Mourad S; El Desouky, A A; Ali, Ehab; Tawfik, Mohammad
doi: 10.1088/1742-6596/2811/1/012030pmid: N/A
In this paper we will demonstrate the possibility of weight optimization of panels under aero-thermal loading in hypersonic flow using functionally graded materials (FGM). The in-plane volume fraction of two constituents (Aluminium and Nickel) is modelled using polynomial distributions. Different material grading layouts are investigated, including cases with Nickel concentrated at corners, sides, midpoints and center. The solution of the problem utilized a higher order element with C1 continuity. The study covers the linear boundaries of the panel flutter problem as well as the non-linear post-buckling deflections. The results indicated Nickel placement strategies are shown to enhance dynamic pressure and vibration performance for a given mass reduction through optimal center and edge localization. Overall, the integrated modelling approach demonstrates the potential to systematically optimize stability, weight and integrity in hypersonic flow to optimize the weight of panels subject to aero-thermal loads.