Yanbu Journal of Engineering and Science (YJES)
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202 research outputs found
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MICROWAVE AGAINST THERMAL TREATMENT FOR MANUFACTURING OF ACTIVATED CARBON FROM AGRICULTURAL WASTES AND ITS USE TO ADSORB METHYLENE BLUE-EQUILIBRIUM AD KINETIC STUDIES
No full textDates pits, a widely available agricultural waste, was used to produce two samples of activated carbon. The first sample was prepared by thermal treatment at 500 °C for two hours, and the other one was prepared through microwave irradiation for 12 minutes. Zinc chloride was used as the chemical activator for the two samples. The efficiency of the two samples towards methylene blue adsorption was investigated. The effects of some parameters, such as initial pH of the solution, initial concentration of methylene blue, contact time and adsorbent dose, on the adsorption capacity were also investigated. Equilibrium and kinetic models were applied to understand the mechanism of the adsorption process. The results showed that the preparation using the microwave radiation enhanced the adsorption capacity by 30%. The concentration of the dye solution and its pH had significant effects on the adsorption. The optimum pH for adsorption was found to be 11. The experimental data was found to best fit Langmuir adsorption isotherm and pseudo second order kinetic model. Both pore diffusion and film diffusion were found to control the adsorption process
MEAN VALUE ANALYSIS WITH COMBINATIONAL ROUTING AND YIELD PROBABILITIES FOR A POWER SOAK RE-ENTRANT OPERATION
No full textQueueing networks arising from multistage processes with probabilistic re-entrant lines are common in manufacturing environments. Probabilistic re-entrant flow is defined as lots entering the operation with different repeated cycle requirements. This paper presents a computational model based on the mean value analysis (MVA) technique considering a probabilistic re-entrant operation with yield probabilities for a Power Soak operation. The objective of this work is to develop a solution method to determine the total cycle time and the mean throughput for a Power Soak operation in a semiconductor back end industry. In addition, a method based on the saturation of the mean throughput, is developed to determine the maximum number of lots and the target cycle time for the operation. Using analytical and simulation methods, comparison results are made under various probabilistic re-entrant and yield conditions. Results show that the analytical model developed has close agreement with the simulation results. The method proposed can be used by operations managers to determine their lots\u27 cycle times and the maximum number of lots and eventually tie to the performance of the operation
Speed Orientation of combined Induction Motor Renewable Energy System via Firefly Approach
No full textThis article introduces the layout of a traditional (PI) Proportional Integral controller via (FA) Firefly Approach to adjust the speed of the commonly used motor; (IM) Induction Motor; supplied by (WT) Wind Turbine as a one of renewable energy resources. WT acts as a main mover to a joined (DC) Direct Current source. DC/AC inverter is utilized to obtain a 3 phase system from the product of DC. generator. The developed layout process of the speed controller is formed as a time domain optimization task. FA is involved to seek optimum elements of the controller by reducing the suggested objective time function. The attitude of the decided FA has been valued with the attitude of the traditional (ZN) Zeigler Nichols and (PSO) Particle Swarm Optimization to confirm the supreme adequacy of the developed FA in setting the PI controller. Moreover, the attitude of the suggested controller has been valued for the variation of load torque and speed WT. Imitation results prove the better achievement of the tuned Pl elements relied on FA compared with tuned PI elements based on PSO and traditional one along a vast scope of working cases
GRASSHOPPER OPTIMIZATION APPROACH FOR POWER SYSTEM STABILIZERS PATTERN
No full textIn this cover, a new meta-heuristic approach called Grasshopper Optimization Approach (GOA) for Power System Stabilizer (PSS) pattern problem is inspected. The parameters of PSSs are perfected by GOA to belittle the time domain objective function. The showing of the organized GOA based PSSS (GOAPSS) has been competed with Differential Evolution (DE) based PSSS (DEPSS) and the Particle Swarm Optimization (PSO) based PSSS (PSOPSS) under varied burden events. The results of the decided GOAPSS are affirmed via damping ratio, eigenvalues, performance indices, and time domain analysis. In addition, the strength of the GOA in earning generous damping characteristics is belayed
TRANSFER LEARNING APPROACH FOR CLASSIFICATION OF WIDELY USED SPICES
No full textPeople around the world relish variety of food that are flavourful. Spices add flavours to the food without adding any fat or calories. People have used spices for many centuries and are an integral part of our food. In addition to aroma, spices also have anti-bacterial, anti-inflammatory properties and other health-promoting properties. Recognizing spices from images is a challenging problem for a machine as they come in varying sizes and shapes, different colours, high visual similarity, and texture. The classification of spices presents useful applications in the field of Artificial Intelligence-driven food industry, e-commerce, and health care. In the billion-dollar spice industry, image classification of spices finds applications ranging from receiving, processing, labelling, and packaging them. As there is no dataset currently available for spices, in this work, a Spice10 dataset with 2000 images of spices is first created. This study aims to find out whether the accurate classification of spices is possible using computer vision technology. Instead of building models from scratch, a pre-trained transfer learning approach has been implemented in this work to classify the commonly used spices. The images in the dataset are of different sizes and have to be resized and pre-processed before using it with the transfer learning approach. Few different pre-trained networks are modified and used for the image classification of spices. The best classification average accuracy obtained by the VGG16 model is nearly 93.06% which is better than the other models. The high accuracy of the VGG16 model indicates it can be successfully used for the classification of spices
A New Model for Non-relativistic Quantum Particles Interacting with IMMSEPM and IMSSKPM in 3D(NR)-NCPS Symmetries: Eigensolution and Thermodynamic Properties
No full textUsing two physical models, we investigate the three-dimensional deformed Schrödinger equation (3D-DSE) in the context of three-dimensional non-relativistic noncommutative quantum phase-space (3D(NR)-NCPS) symmetries. The Mobius square potential is what they have in common. The first is the improved modified Mobius square plus Eckart potential (IMMSEPM), and the second is the improved Mobius square plus screened-Kratzer potential (IMSSKPM). This study solves the 3D-DSE in the 3D(NR)-NCPS regime using the well-known generalized Bopp’s shifts method and conventional perturbation theory. For the homogeneous (K2 and H2) and heterogeneous (LiH, HCl, HF, DF, and CsO) diatomic molecules, the new non-relativistic energies equations and eigenfunction for the IMMSEPM and the IMSSKPM models in the presence of deformation phase-space are obtained to be sensitive to the atomic quantum numbers (j, l, s, m), the mixed potential depths (V0, V1, V2, A, B) and (A, B, De, re), the screening parameter α, and non-commutativity parameters (Θ/Φ, χ/χ, ζ/ζ) for the IMMSEPM and the IMSSKPM, respectively. By appropriately adjusting the improved modified Mobius square potential, the improved Eckart potential, the improved Hulth\u27{e}n potential, and the improved Poschl-Teller potential, we investigate the obtained new bound state eigenvalues of the DSE with the IMMSEPM and the IMSSKPM in 3D(NR)-NCPS symmetries. In addition, the partition function, mean energy, free energy, specific heat, and entropy of the IMMSEPM and IMSSKPM are investigated in 3D(NR)-NCPS symmetries. The current research has many potential applications in atomic and molecular physics
Accurate mathematical modeling of electronic load harmonics using machine learning software
No full textThis paper presents accurate mathematical models for several power system harmonics problems using an efficient machine learning tool, Eureqa. Three previously published research papers that included actual field measurements have been chosen to compare and assess the harmonics mathematical models presented in this paper. Following that, mathematical models of the output parameters as functions of the input parameters have been developed based on these data. For all these different research works and experiments, a total of 17 mathematical models have been built using basic curve fitting tools. Most of these proposed models couldn\u27t fit the experimental data appropriately. Considerable error is observed for several models. In this paper, all these 17 problems are formulated using Eureqa software utilizing the same data presented in the discussed research works. Very accurate fitting capability to the experimental data is achieved using Eureqa, where almost near zero error is reached for the majority of the proposed models. The maximum mean absolute error (MAPE) among all developed models was 0.13% as opposed to 24% for the models presented in the literature
Enhancing Green Energy Solutions through PEMFC: A Comprehensive Review of Modeling, Efficiency, Performance Metrics, and Future Opportunities
No full textPolymer Electrolyte Membrane Fuel Cells (PEMFCs) are a promising technology for clean and efficient energy production. PEMFC was initially developed for the space programs in the 1960s, but today, it finds its application in numerous engineering applications. Growing concerns about fossil fuel depletion and global warming, along with recent advances in renewable energy and the hydrogen economy, have further supported its development. This comprehensive review consolidates modeling approaches, performance analyses, thermal management strategies, and future prospects of PEMFC technology. The analysis of the characteristics of Voltage-Current (V-I) and subsequent examination of the fuel cell’s efficiency include the evaluation of thermal and other input parameters. For instance, adopting the optimum thickness of catalyst layers of the anode (0.0231 mm) and cathode (0.0315 mm) current collectors enhances the performance of PEMFC by 6.8%. Experimental results show PEMFC performance peaks at 65°C, with lower temperatures reducing power. Optimal humidity improves performance, but excess causes flooding. Active water cooling enhances thermal management, boosting power density and stability compared to passive cooling. It is also noticed that altering the temperature and input values of the fuel cell results in variations in voltage losses. Compilation of the scattered work and providing the readers with an inventory to comprehend about the gaps in this particular research area for future work advocates the novelty of this review paper
Energy Consumption Patterns in Residential Buildings: A Comparative Study of Air Conditioning Systems
No full textThis study explores energy consumption patterns in residential buildings, focusing specifically on the air conditioning systems and their intricate relationship with technology, occupant behavior, and environmental impact. Utilizing a mixed-methods approach, quantitative data is gathered on energy usage from utility companies and homeowner surveys, complemented by qualitative insights from interviews and focus groups. The results indicate that households equipped with air conditioning units face significantly higher electricity bills, especially during peak summer months, largely due to the inefficiencies of older systems and the common issue of oversized units. Technological advancements, including high-efficiency air conditioning systems and smart thermostats, are crucial in reducing energy consumption. Furthermore, occupant behaviors-such as adjusting thermostats and maintaining systems-have a notable effect on energy usage. This study underscores the necessity for greater awareness of energy-efficient technologies and highlights the importance of informed decision-making among homeowners. By synthesizing perspectives from engineering, sociology, and environmental science, the research enhances the understanding of energy consumption dynamics in residential contexts and presents actionable recommendations for fostering sustainable practices
HALL EFFECTS ON ROTATING MHD CHANNEL FLOW IN THE PRESENCE OF AN INCLINED MAGNETIC FIELD
No full textMHD flow of a viscous incompressible electrically conducting fluid between two parallel plates in a rotating system in the presence of an inclined magnetic field has been studied on taking Hall current into account. An exact solution of the governing equations has been obtained in closed form. Numerical results of the fluid velocity components and the shear stresses at the plates are being discussed graphically. It is observed that both Hall currents as well as the angle of inclination of the applied magnetic field have a retarding influence on the primary fluid velocity whereas they accelerate the secondary fluid velocity. The electric field components are being calculated and presented in tabular form. Asymptotic behavior of the solution has been analyzed for small as well as large values of magnetic parameter and rotation parameter. It is interesting to note that either for strong magnetic field or for large rotation there exists a single-deck boundary layer near the upper plate