Engineering Commons^™

Prospects Of Clean Cooking Energy In Africa - Transition Pathways And Implications, Joseph H. Kihedu Dr.

Tanzania Journal of Engineering and Technology (TJET)

Despite abundant renewable energy resources, African countries still suffer from energy poverty, particularly in cooking. Up to 2022, about 74% of the African population had no access to clean cooking energy. With focus to Sub-Saharan African population, 90% has no access to clean cooking energy which decrease by 7% when kerosene is included. Traditional cooking, which involves the use of charcoal and firewood, is associated with health problems, environmental degradation, socioeconomic issues, and gender inequality. Transitioning to clean cooking energy not only promises significant health benefits but also offers opportunities for sustainable economic development and environmental preservation. In this study, …

Effect Of Sorbitol Plasticizer On Bioplastics Properties Based On Oil Palm Empty Fruit Bunches (Opefb) And Jackfruit Seed Starch, Nia Sasria, Vita Nur Afifah, Gusti Umindya Nur Tajalla

Makara Journal of Science

In bioplastics, natural materials that are easily decomposed are used to minimize plastic waste. In this research, the compositions used were cellulose from oil palm empty fruit bunches (OPEFB), jackfruit seed starch, and carboxymethyl cellulose (CMC) as a filler with sorbitol as a plasticizer. This study aimed to analyze the effect of a sorbitol plasticizer on bioplastic properties. The study began by extracting jackfruit seed starch and OPEFB cellulose. Subsequently, bioplastics were prepared by varying sorbitol, namely 0 (S – 0), 0.5 mL (S – 0.5), 1 mL (S – 1), and 1.5 ml (S – 1.5), with CMC 20%. …

Modeling Of Carbonization And Absorption Processes In Soda Ash Production, Nadirbek Rustambekovich Yusupbekov, Djalolitdin Paxritdinovich Mukhitdinov, Fatima Faxritdinovna Iskhakova

Chemical Technology, Control and Management

The article considers the problem of modeling the ammonia-soda process of soda ash production and presents the chemistry of sodium bicarbonate (NaHCO₃) formation. The equation of the kinetics of the reaction, used as a model of the carbonation process, is derived from a system of equations and its computer model is compiled. The system of differential equations reflecting the kinetics of the process was solved in the Mathcad package. The result of the modeling is presented. Based on the experimental data, the dependence of the absorption column performance on temperature and the dependence reflecting the optimal value of the absorption …

Adaptive Control Of Air Purification Processes In Industrial Painting Workshops: A Review Of Scientific Literature, N.A Kabulov, Sh. Mamatbekov

Chemical Technology, Control and Management

This article examines modern approaches to adaptive control of air purification processes in industrial facilities, particularly in paint shops for parts coating. The relevance of the study is driven by the need to enhance air purification efficiency, ensure worker safety, and comply with environmental regulations. The paper analyzes adaptive control methods, including the use of neural networks, machine learning, and adaptive control algorithms, which enable real-time optimization of purification systems. Special attention is given to the utilization of sensor data for predicting pollution levels and automatically adjusting purification parameters. The article also discusses the advantages and limitations of implementing adaptive …

Algorithms For Making Control Systems Based On Neural Network Technology To Automate Dynamic Plants, Jasur Sevinov, Abdishukurov Maqsudovich Shavkat

Chemical Technology, Control and Management

This paper examines the stages of multilayer neural network technology for the control and identification of dynamic systems. It is seen many ways to use multilayer neural networks in control systems. Neural controllers are based on several models and algorithms. Examples of such algorithms include the predictive model-based control algorithm, the Narma-L2 control algorithm, and the benchmark model-based control algorithm. These controllers illustrate various general ways to use multilayer neural networks in control systems. Common, standard linear control architectures have been proposed for many neural controllers.

Development Of An Ann-Based Predictive Model For The Efficient Treatment Of Industrial Wastewater, Alisher Khudoyberdi Ugli Rakhimov, Hasan Siddiq Ugli Murodov, Farrukh Bakhtiyorovich Igitov, Shuhrat Ahmadjonovich Mutalov, Jaloliddin Abdurazzakovich Eshbobaev

Chemical Technology, Control and Management

The effective removal of free chlorine ions from industrial wastewater is critical to ensure process safety, minimize equipment corrosion, and protect aquatic environments. In this study, a laboratory-scale activated carbon filtration system was developed and tested to treat chlorine-contaminated water collected from sludge collectors at industrial facilities. A total of 200 experimental trials were conducted under varied operational conditions, including changes in flow rate, initial chlorine concentration, pressure, pH, temperature, and activated carbon dosage. The resulting dataset was used to train a predictive model based on a feedforward backpropagation artificial neural network (ANN) implemented in MATLAB. The ANN model demonstrated …

Fabrication Of A Pineapple Peeling Machine And Performance Evaluation As Influenced By Pineapple Dimensions, Dare E. Ibiyeye, Olusegun J. Adedipe, Oluwole S. Ariwoola, Taiye R. Afolabi, Funmilayo B. Okanlawon, Paul O. Ogunbamowo, Afolake E. Roberts

Journal of Bioresource Management

A pineapple peeling machine was completed, and the functionality was. The Central composite rotate strategy CCRD involving three variables at five (5) stages was employed for the investigations plus the investigational variables been weight, diameter and height of pineapple, while weights of peeled pineapple and peel, machine peeling time and efficiency were the dependent variables. Data was analysed using quadratic interaction regressions model at P ≤ 0.05 levels of significance, then the working variables were correlated to the pineapple machine peeling efficiency. The investigational outcomes were applied to confirm the predicted optimal settings. Maximal pineapple peeling efficacy of 91.89 % …

The Dynamics Of Word-Of-Mouth Marketing: An Agent-Based Modeling Approach To Message Credibility And Consumer Engagement, Ali Nasirzonouzi, Carlos Gershenson

Northeast Journal of Complex Systems (NEJCS)

Word-of-mouth (WOM) marketing is a critical factor in the dissemination of information and adoption of products in social networks. This paper investigates the impact of two important factors message credibility and consumer engagement on WOM adoption dynamics using agent-based modeling (ABM). This study proposes a simple qualitative model to investigate how these factors influence adoption rates through both broadcast communication and peer-to-peer influence by simulating interactions on a spatially clustered network.

The findings show that increased message credibility significantly boosts adoption, achieving a balance between broadcast and social mechanisms. Also, consumer engagement primarily affects the adoption mechanism, shifting the effect …

Vacuum Consistent Electrochemistry In Ionic Liquid Combined With Oxide Epitaxy, Yuji Matsumoto

Journal of Electrochemistry

We introduce our state-of-the art of “vacuum consistent electrochemistry” to an investigation of the interfaces between oxides and ionic liquid (IL). Pulsed laser deposition (PLD) has been one of the powerful and sophisticated techniques to realize nanoscale preparation of high-quality epitaxial oxide thin films. On the other hand, electrochemistry is a simple, very sensitive, and non-destructive analysis technique for solid-liquid interfaces. To ensure the reproducibility in experiment of the interfaces of such epitaxial oxide films, as well as bulk oxide single-crystals, with IL, we employ a home-built PLD-electrochemical (EC) system with IL as an electrolyte. The system allows one to …

Pm Irras Studies Of Organized Molecular Films At A Gold Electrode Surface, Zhang-Fei Su, Ai-Cheng Chen, Jacek Lipkowski

Journal of Electrochemistry

This feature article illustrates the potential of polarization modulation infrared reflection absorption spectroscopy (PM IRRAS) to provide molecular-level information about the structure, orientation and conformation of constituents of thin films at electrode surfaces. PM IRRAS relies on the surface selection rules stating that the p-polarized IR beam is enhanced, while the s-polarized beam is attenuated at the metal surface. The difference between p- and s-polarized beams eliminates the background of the solvent and provides IR spectra at a single electrode potential. In contrast, two other popular in situ IR spectroscopic techniques, namely, subtractively normalized interfacial Fourier transform infrared spectroscopy (SNIFTIRS) …

Redox-Active Monolayers On Ito Prepared By Post-Amidation And Direct Esterification And Their Spectroelectrochemical Characterization, Takamasa Sagara, Sae Nakai, Ryusuke Yofu, Shota Kojin

Journal of Electrochemistry

A redox-active monolayer on an optically transparent electrode constitutes a typical platform for spectroelectrochemical sensing. The necessity for its sophistication arises from the availability of multi-dimensional sensing signals. Simultaneous monitoring of the redox current and color change synchronized with the oxidation state change significantly enhances sensitivity and selectivity. This study aimed to elucidate the modification of an indium tin oxide (ITO) electrode with a viologen monolayer with an ordered orientation. Novel methods were developed to immobilize a viologen molecule bearing a carboxyl group to form assembled monolayers through a condensation reaction using 1-ethyl-3-(3-dimethylaminopropyl)-carbodiimide with N-hydroxy-succinimide (EDC/NHS). In the two methods …

Ambient Co2 Capture And Valorization Enabled By Tandem Electrolysis Using Solid-State Electrolyte Reactor, Yan-Bo Hua, Bao-Xin Ni, Kun Jiang

Journal of Electrochemistry

Electrocatalytic carbon dioxide reduction is a promising technology for addressing global energy and environmental crises. However, its practical application faces two critical challenges: the complex and energy-intensive process of separating mixed reduction products and the economic viability of the carbon sources (reactants) used. To tackle these challenges simultaneously, solid-state electrolyte (SSE) reactors are emerging as a promising solution. In this review, we focus on the feasibility of applying SSE for tandem electrochemical CO₂ capture and conversion. The configurations and fundamental principles of SSE reactors are first discussed, followed by an introduction to its applications in these two specific areas, …

Reusing Materials In The Aerospace Industry, Lama Alanazi, Burtegeljin Gombosuren, Byhalia Jewett

Beyond: Undergraduate Research Journal

This research explores the material recycling methods used by the aerospace industry, particularly in comparison to the reusability of aerospace materials and with the objective to find uses for recycled materials from aircraft. Through an analysis of various other material mitigation methods, it is apparent that the physical degradation of materials after they go through recycling processes and the cost of recycling are the most prominent issues holding the aerospace industry back from being able to recycle aircraft up to 100%. From a comparison of physical characteristics of materials after reprocessing, several materials were found to meet industry standards, while …

Gradually Varied Flow In Horizontal Circular Open Channels, Sanaa M. Hashim, I.M.H. Rashwan, Hewida Omara

Journal of Engineering Research

In investigations of gradually varied flow, open channels are categorized according to bed slope as horizontal, mild, critical, steep, and adverse. A canal is referred to as horizontal if its bed slope is zero. In open-channel hydraulics, calculating the water surface profile in an open channel is regarded as a crucial part of channel design. The objective of this present study is to solve the gradually varied flow in open circular channel with horizontal slope by using two mathematical methods called; direct integration method and Runge-Kutta method. The presented study used the experimental works to offer an explicit closed-form semi-analytical …

A Yolo-Based Deep Learning Approach For Vibration-Based Rotating Shaft Imbalance Detection, Abdelhameed Zayed Dr., Ali Siam Dr.

Journal of Engineering Research

One of the prevailing causes of vibrations in machines is rotor imbalance. Rotor balancing can be used to fix the majority of rotating machinery issues. When it comes to high-speed running equipment, even a slight imbalance can lead to serious issues and decrease the operational efficiency of rotating machinery. This work proposed a deep learning approach for the detection of binary and multiclass imbalance in rotating shafts. A YOLOv11 model-based approach is developed to detect imbalance and identify unbalanced rotor positions. To precisely identify unbalanced positions, this method trains the YOLOv11 model using numerous sets of measured response data and …

Flow Characteristics In Open Channel Confluences: Comparison Of Different Turbulence Models, Abdelrahman Mostafa Elazab None, Ibrahim Mohamed Rashwan, H. Omara

Journal of Engineering Research

This study uses numerical simulations in ANSYS Fluent to analyze the flow characteristics of open channel confluences. The primary objective is to assess the accuracy and predictive performance of three widely used turbulence models: the standard k–ε, the realizable k–ε, and the k–ω SST models. Simulations were performed under steady-state conditions. The results were validated against experimental data. Comparative analysis based on roots mean square error (RMSE) and flow behavior evaluation shows that all models can capture the main flow structures. However, the k–ω SST model demonstrated superior agreement with the experimental results, exhibiting the lowest RMSE and providing the …

A Critical Review Of Electrochemical Chloride Extraction: Mechanisms, Effectiveness, And Impact On Concrete Properties, Mariam Ghazy, Metwally Abd Elaty, Lara A. Farouk

Journal of Engineering Research

Chloride-induced corrosion poses a significant threat to the durability and service life of reinforced concrete structures, necessitating effective rehabilitation strategies. This research provides a comprehensive review of electrochemical chloride extraction (ECE) for reinforced concrete structures. It explores the mechanisms behind ECE and highlights the factors that influence the treatment's efficiency. Key elements discussed include ECE setup parameters (current density, treatment duration, anode/electrolyte type, temperature) and concrete mix properties (binder type, water-to-binder ratio, cover thickness, reinforcement details). The review also explores ECE's effects on concrete microstructure, including hydration products, porosity, alkali-aggregate reaction, and potential for hydrogen embrittlement, as well as its …

Investigation The Effect Of Integrating Solar Desalination Systems With Firefighting Networks For Coastal Cities, Ramy Elramy, Mohamed Mahgoub, Mohamed Abdelgaied, Ayman Refat Abd Elbar

Journal of Engineering Research

This study investigates integrating solar desalination systems with seawater-based firefighting networks as a sustainable solution for coastal cities facing freshwater scarcity. This study evaluates technical feasibility, economic impact, and operational performance by comparing conventional seawater firefighting infrastructure with systems utilizing desalinated water produced via solar energy. The methodology includes a detailed component and cost analysis of both systems, supported by experimental pump performance tests using varying salt concentrations and seawater. Results indicate that desalinated water systems offer significant economic savings—approximately 48.82%—due to reduced corrosion, lower maintenance demands, and improved pump efficiency. Experimental findings also show that increased salinity accelerates cavitation …

Numerical Analysis Of Stone Column Installation In Soft Clay: Evaluation Of Dynamic Effects, Saleh I. Rashwan Eng, Waseim R. Azzam Prof, Ahmed M. Nasr Prof

Journal of Engineering Research

This study presents a numerical investigation into stone columns’ installation and post-installation behavior in soft clay. A parametric study was conducted to explore excess pore water pressure generation and bearing capacity enhancement. Five stone column configurations were simulated across two radial expansion ratios using the Cylindrical Cavity Expansion (CCE) method implemented in PLAXIS 2D. Results showed that dynamic installation process, simulating vibro-replacement, produced transient stress waves, inducing fluctuations in lateral earth pressure and excess pore water pressure immediately around the column. Moreover, the columns with larger diameters and lengths significantly enhanced the lateral confinement and generated higher excess pore pressures …

Flexural Behavior Of Optimized Crumb Rubber Multilayer Concrete Slab, Rokia Mohamed Shehatta Msc. Student, Dr. Ibrahim El-Azab Lecturer, Civil Engineering Department Faculty Of Engineering,, Mohamed H. Makhlouf Professor Of Rc Structures, Civil Department, Benha Faculty Of Engineering,, Prof. Sameh Yehia Professor Of Reinforced Concrete Structures Faculty Dean, Faculty Of Engineering,

Journal of Engineering Research

Waste tires are a significant environmental issue, and this study explores the use of crumb rubber concrete (CRC) as a sustainable alternative by incorporating waste rubber from discarded tires as a partial replacement for fine aggregate (sand) in concrete. Seven slab specimens were tested, including a control specimen and six rubberized concrete specimens with 25%, 50%, and 75% rubber content in one-layer and two-layer configurations. The results showed that increasing rubber content led to a decrease in compressive strength and ultimate load capacity, with reductions of up to 85.5% in one-layer slabs and 50% in two-layer slabs compared to the …

Cyclic Combustion Pressure Dynamics Of A Diesel Engine Operating On Waste Frying Oil Biodiesel Blends Using Wavelets, Shady Elmozy, Ahmed Khaira Dr., Elshenawy Elshenawy Prof. Dr., Ali Mohamed Dr., Medhat Elkelawy Prof. Dr,

Journal of Engineering Research

This paper investigates the cyclic combustion pressure dynamics of a single-cylinder diesel engine burning waste frying oil biodiesel blends, employing statistical analysis and continuous wavelet transform (CWT) to evaluate combustion stability. Experiments were conducted at a constant engine load (90%) and speed (1500 rpm), with in-cylinder pressure data collected over 400 consecutive cycles for conventional diesel (RD) and biodiesel blends (UB10, UB30, UB50). Results demonstrate that biodiesel blends marginally reduce average peak cylinder pressure (PP) by 0.3–3.8% while lowering PP variability, evidenced by declining coefficients of variation (COV-PP: 1.27–1.48%), attributed to biodiesel’s elevated viscosity promoting consistent fuel-air mixing. Conversely, mean …

Combustion Characteristics And Cycle-To-Cycle Variations In A Diesel Generator Fueled With Used Frying Oil Biodiesel Blends, Shady Elmozy, Ahmad Khira Dr., E. A. El Shenawy Prof. Dr., Medhat Elkelawy Prof. Dr, Eng.

Journal of Engineering Research

This paper investigates the combustion characteristics and cycle-to-cycle variations in a stationary direct-injection diesel generator fueled with biodiesel derived from used frying oil (UFO) blended with conventional diesel. Used frying oil methyl ester (UFOME), referred to as UB100, was produced through a single-step alkali transesterification process and blended with diesel fuel in varying proportions (UB10, UB20, UB30, UB40, and UB50). Experiments were conducted on a single-cylinder, naturally aspirated diesel engine operating at a constant speed of 1500 rpm under five different load conditions: 0%, 25%, 50%, 75%, and 90%. In-cylinder pressure data from 400 consecutive cycles were analyzed to determine …

Impact Of Gamma-Ray Dose On Indoor Visible Light Communication Link Performance: A Geant4 Study, Fayza Mohamed Elamrawy, Adel Mohamed Ismail, Hossm Kasem Prof, Salah Khamis Prof, Ahmed Abdelaziz Youssef Prof

Journal of Engineering Research

This research presents an extended performance analysis of an indoor Visible Light Communication (VLC) system by integrating experimental results with advanced GEANT4 simulations. Building on a prior empirical study that evaluated different LED configurations and photodetectors, this work explores critical environmental and spatial parameters that influence VLC efficiency and reliability. Parameters such as wall reflectivity, emission angles, photon energy, and photon travel time are systematically analyzed using a validated GEANT4 simulation framework. The results confirm the strong impact of narrow emission angles and high wall reflectivity on detection performance, while also highlighting the importance of time delay modeling in high-fidelity …

Machine Learning-Based Prediction Of Load Capacity In Corrugated Concrete-Filled Double Skin Tubes Under Axial Load, Aya Mohsen Handousa Mansoura University, Fikry Salem, Nabil Mahmoud Mahmoud, Mohamed Ghannam

Journal of Engineering Research

Concrete-filled double-skin steel tubular (CFDST) columns have become widely utilized in building construction and bridges, thanks to their exceptional structural capabilities. This study investigates the axial compression behavior of corrugated CFDST columns, analyzing the impact of flat or corrugated external/internal plates and varying internal steel tube widths. Furthermore, basic regression analysis fails to precisely forecast the complicated relation between the column properties and their compressive strength. To overcome these challenges, this study suggests two machine learning (ML) models, including the Gaussian process (GPR) and the extreme gradient boosting model (XGBoost). To estimate their strength, these models employ a range of …

An Engineering Solution For Fan Aeroacoustics Measurements Correction In A Non-Anechoic Testing Environment, Saad-Eldin Taha, Mohamed Y.Zakaria, Mohamed Abdelgaied, M.M. Bassuoni Prof. Dr.

Journal of Engineering Research

Abstract- Nowadays, acoustic signatures of daily used applications are to be minimized. The study of noise generated through aerodynamic interaction with moving bodies has passed through different phases since the early 50s, and this leads to the evolvement of many analytical, empirical and computational techniques in order to be able to estimate the emitted noise. Concerning fan blades, until now the researches are still going for a reliable method for noise estimation during the early phases of design which help in the development of blades with a lower aeroacoustic signature, the Brooks, Pope and Marcolini (BPM) model was chosen to …

Evaluating The Role Of Building Information Modeling (Bim) In Minimizing Delays And Reducing Costs In Construction Projects, Hussein Elsayed Mohamed Ismail, Mohammad Ahmad Mohammad Abdulhadi

Journal of Engineering Research

The implementation of Building Information Modeling (BIM) as a construction industry technology delivers extensive effects on project duration and financial management. This investigation examines BIM as a technology specifically designed to cut down construction project delays and decrease expenditures. The scholarly review of existing research material through a secondary approach allows this study to identify BIM's major value contributions.

The implementation of BIM technology enables project schedules to reach improved accuracy which results in a reduction of project delays by 15-25% because of its automation features and effective clash detection and real-time coordination benefits. The application of building information modeling …

Multi-Modal Covid-19 Detection Using Cough Sounds And Medical Information With Attention-Enhanced Deep Learning, Mohamed Talaat Saidahmed, Reda Elbasiony, Marwa Reda Bastwesy, Asmaa Aly Hagar

Journal of Engineering Research

The COVID-19 pandemic has highlighted the need for fast, non-invasive, and cost-effective diagnostic tools. Cough sounds, as a prominent symptom of respiratory diseases, present a promising modality for automated COVID-19 detection. In this study, we propose a novel multi-modal deep learning framework for COVID-19 detection that leverages cough sounds and patient-specific medical information. Our approach extracts two types of acoustic features—Mel-Frequency Cepstral Coefficients (MFCCs) and Mel spectrograms—and integrates them with clinical metadata to improve diagnostic ac-curacy. The MFCC branch employs 1D convolutional layers followed by Efficient Channel Attention mechanism. The Mel spectrogram branch utilizes ResNet-50 combined with ECA to capture …

A Comprehensive Review Of Carbonation In Supplementary Cementitious Concrete: Factors Affecting, Measurement Methods, And Challenges, Mariam Farouk Ghazy, Metwally Abd Allah Abd Elaty, Esraa Samir Abdeljalil

Journal of Engineering Research

Abstract-After water, concrete is the most widely used material on the planet. Accelerated carbonation treatment is an effective approach of reducing carbon emission in the concrete industry. Such carbonation process converts gaseous CO2 into carbonated minerals. This review provided a special focus on internal and external variables affecting carbonation depth. Internal variables such as mixture components, External variables such as adding pozzolanic materials such as fly ash, and slag were examined systematically, temperature, pressure, and CO2 concentration. The effect of accelerated carbonation curing on the compressive strength of concrete at early ages, both positive and negative influences were identified. …

Mutual Coupling Impedance Effect On Ris-Assisted Terahertz Communication, Radwa A. Roshdy Dr., Hossam M. Kasem Prof., Mohammed A. Salem Dr.

Journal of Engineering Research

Terahertz (THz) communication based on reconfigurable intelligent surfaces (RIS) is a promising technology in future wireless networks, with the capabilities of ultra-high data rates and energy-efficient beam communicating. Nevertheless, the mutual coupling impedance of the closely spaced RIS reveals the inefficacy in existing channel estimation schemes, while it is usually ignored in the literature. In this paper, we fill this gap by developing an EM-compliant channel model that integrates mutual coupling explicitly for RIS-assisted THz systems. We evaluate the performance of mutual impedance-induced influence to the accuracy of the root mean square error (RMSE), which is considered as a pivotal …

Shear Strength Enhancement Of Soft Clay Using Lime Columns: A Large-Scale Experimental Study, Mostafa Elsawwaf Prof, Waseim Azzam Prof, Ahmed Sami Fouad

Journal of Engineering Research

Soft clay soil is often classified as problematic due to its low shear strength and high compressibility, which can cause significant structural damage. To mitigate these issues, various soil stabilization techniques have been developed, including the use of lime columns, fly ash, and crushed bricks. In this study, a large-scale direct shear device was designed and constructed to evaluate the impact of lime column stabilization on the shear strength of soft clay. The shear box measured 20 cm in height, 30 cm in length, and 30 cm in width. A hydraulic piston applied shear force by moving the lower shear …