Journal of Engineering Research最新文献

{"title":"A configurable process control method for robotic system-based industrial service improvements","authors":"Mohammed A. El-Meligy ,&nbsp;Haitham A. Mahmoud ,&nbsp;Nadia Sarhan ,&nbsp;Emad Mahrous Awwad","doi":"10.1016/j.jer.2023.11.009","DOIUrl":"10.1016/j.jer.2023.11.009","url":null,"abstract":"<div><div>Automation-based robotic solutions are widely employed in innovative industrial manufacturing units to avoid unnecessary process errors and delays in outcomes. The robots' density and controls vary with the process and production demands. This paper introduces a Centralized, Configurable Process Control (CCPC) method for reliable industrial task organization and management. The proposed method's configurable control identifies pre-queuing tasks and automated processing through robotic systems. This method uses state-dependent learning to identify the highly configurable robotic controller to improve the task processing rate. The automated, connected systems improve the task's cooperativeness by concurrent allocation and swapping the industrial tasks through self-decisions. The performance of the automated systems is verified based on state learning and concurrency. The results demonstrated substantial enhancements, with a 12.29% increase in processing rate, a 6.31% drop in mistakes, an 11.1% decrease in process latency, and an 11.68% decrease in pre-queuing ratio compared to conventional methods. These results show that the proposed strategy performs very well and is a cutting-edge option for effective job organization in smart industries. Response: The proposed Adaptive Backstepping Recurrently-Connected Fuzzy-Wavelet-Based Neural Network (ABRFWNN), Task-Level Performance (TLP+SS), and Closed Analytical Form (CAF+DLAM) were among the notable methods compared to prove CCPC's efficacy. The findings prove beyond a reasonable doubt that CCPC performs better than these other approaches, representing a significant improvement in the effectiveness of industrial robots.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 2","pages":"Pages 579-589"},"PeriodicalIF":0.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139297969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Life cycle assessment (LCA) and the influence of alkaline activator content on mechanical and microstructural properties of geopolymer mortar","authors":"Banoth Gopalakrishna,&nbsp;Pasla Dinakar","doi":"10.1016/j.jer.2024.01.010","DOIUrl":"10.1016/j.jer.2024.01.010","url":null,"abstract":"<div><div>The geopolymer binder is gaining prominence as an eco-friendly alternative to ordinary Portland cement (OPC), aiming to decrease CO₂ emissions during the manufacturing of OPC. Geopolymers, which are mineral-based polymers formed from materials rich in silicates and aluminates, undergo a complex process of aluminosilicate gel creation through polymerization when activated by alkaline substances. The proportion of alkaline solutions used plays a pivotal role in the process of geopolymerization. Hence, comprehending the impact of alkaline activator content on geopolymers' behavior is imperative. To address this, a study was conducted to assess how the ratio of Na₂SiO₃ to NaOH and the concentration of NaOH affect the synthesis of geopolymer mortar. The mechanical and microstructural characteristics of the geopolymer mortar samples were thoroughly examined. The findings demonstrate that samples with a Na₂SiO₃ to NaOH ratio of 1.5 and 16 M NaOH concentration exhibited the highest compressive strength around 36 MPa at 60 °C. The emergence of the geopolymer binder as an ecologically viable alternative to OPC is becoming increasingly evident. This substitution not only addresses sustainability concerns but also contributes to the reduction of CO₂ emissions during the production of OPC. Geopolymers, compounds characterized by inorganic polymerization, are synthesized using source materials abundant in silicates and aluminates. These raw materials, upon activation with alkaline substances, undergo a sophisticated process resulting in the formation of intricate aluminosilicate gels. The LCA of GP binder has much lower values of Embodied energy (EE) and Global Warming Potential (GWP) than the OPC based mortar, with 94% and 97% reductions respectively.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 2","pages":"Pages 1462-1474"},"PeriodicalIF":0.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139539988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regeneration and mass transfer simulation for remazol brilliant violet dye adsorption by pineapple peel–based adsorbent","authors":"Nur Ayshah Rosli ,&nbsp;Mohd Azmier Ahmad ,&nbsp;Teh Ubaidah Noh","doi":"10.1016/j.jer.2024.02.005","DOIUrl":"10.1016/j.jer.2024.02.005","url":null,"abstract":"<div><div>The successful preparation of pineapple peel activated carbon (PineAC) using a low–cost and environmentally friendly method presented a promising alternative for the utilization of pineapple peel (PineP) waste. The remarkable regeneration capability of PineAC significantly enhances its possible reusable adsorbent for the effective Remazol Brilliant Violet 5 R (RBV 5 R) dye adsorption. The Polymath software was employed to gain deeper insights into the mass transfer process and optimize the adsorption kinetics. PineAC's performance was investigated using characterization techniques such as surface analyzer, Energy Dispersive X–ray (EDX), Fourier Transform Infrared (FTIR) spectroscopy, and X–Ray Diffraction (XRD) analysis. The optimal conditions for the adsorption of PineAC–RBV 5 R dye were at 60°C, in an acidic medium, and at 300 mg/L. The Langmuir isotherm model successfully described the monolayer behaviour of RBV 5 R dye adsorption onto PineAC at 30 and 45°C. In contrast, the Freundlich isotherm model was applicable at 60°C. The PineAC–RBV 5 R dye exhibited a maximum adsorption capacity (<em>q</em>_<em>max</em>) of 66.300 mg/g. The kinetic data demonstrated excellent agreement with the Polymath Mass Transfer (PMT) model, successfully capturing adsorption behavior. The rate constant, k_PTM, displayed an increasing trend as the RBV 5 R initial concentration rose from 25 mg/L to 300 mg/L. Furthermore, the PMT model accurately predicted the adsorption surface area, a_PMT, to be 466.6560 m²/g, closely matching the actual mesopores surface area of 547.8500 m²/g. This remarkable accuracy highlights the reliability and robustness of the PMT model in describing the adsorption process. PineAC–RBV 5 R dye adsorption exhibited consistent thermodynamic behaviour characterized by endothermic adsorption (<em>ΔH</em>°=28.49 kJ/mol), a physisorption mechanism (<em>E</em>_<em>a</em>=24.02 kJ/mol), and spontaneity (<em>ΔG</em>°=10.74 kJ/mol). The potential mechanisms involved in the PineAC–RBV 5 R dye adsorption included n–π interactions, hydrogen bonding, and π–π interactions. The regeneration effectiveness of PineAC–RBV 5 R dye adsorption was 72.30% for the third cycle without causing any surface morphological alterations in agreement with SEM images and EDX spectra. Investigating the adsorption mechanisms and the potential for further functionalization of PineAC could provide opportunities for enhanced performance and expanded applications in sustainable wastewater treatment.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 2","pages":"Pages 433-444"},"PeriodicalIF":0.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139872672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Removal of furosemide from water by emulsion liquid membrane: Influence of experimental conditions and real water matrices","authors":"Manel Lacheheb ,&nbsp;Oualid Hamdaoui ,&nbsp;Maher Alrashed ,&nbsp;Intissar Gasmi","doi":"10.1016/j.jer.2024.03.016","DOIUrl":"10.1016/j.jer.2024.03.016","url":null,"abstract":"<div><div>This work investigates the removal of furosemide (FSM) from low pH aqueous phase by emulsion liquid membrane (ELM). The influence of various experimental conditions on FSM permeation rate and subsequent emulsion stability, such as surfactant concentration, diluent type, stripping solution concentration, feed solution pH, stripping solution/membrane solution volume ratio, emulsification time and speed, stirring rate, initial FSM concentration, and emulsion/feed solution volume ratio, was evaluated. The ability to extract FSM in different natural complex matrices was examined. The ELM system is formed by Span 80 (5% w/w) as surfactant, hexane as diluent, NaOH (0.01 N) as stripping agent, stripping solution/membrane solution volume ratio of 1/1, treatment volume ratio of 20/200, and mixing rate of 200 rpm. The treatment process demonstrates complete removal of FSM within a remarkably short time span of 20 min. In seawater and natural mineral water, the extraction efficiency is 94.3% and 96.8%, respectively, after 20 min. Additionally, the stripping efficiency of FSM is reported to be excellent (100%), demonstrating the remarkable ability of ELM to remove and recover FSM from water. For these reasons, the ELM technique is a particularly interesting process for treating FSM-contaminated water.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 2","pages":"Pages 1505-1514"},"PeriodicalIF":0.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140275236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A numerical simulation method for solving electromagnetic-mechanical coupling field","authors":"Juanmian Lei ,&nbsp;Wanyi Liu ,&nbsp;Yong Yu ,&nbsp;Zheng Luo","doi":"10.1016/j.jer.2024.04.016","DOIUrl":"10.1016/j.jer.2024.04.016","url":null,"abstract":"<div><div>A new numerical simulation method based on the finite volume method has been proposed to address the challenges associated with the pseudo-oscillation phenomenon that occurs with an increased Péclet number, as well as determining an appropriate time step for electromagnetic-mechanical coupled physical field calculations. This method utilizes the concept of upwind from Computational Fluid Dynamics (CFD) to solve Maxwell's equations, a finite-volume method for discretizing the electromagnetic diffusion equations. Through computing typical electromagnetic field problems such as TEAM problem 9–1 and comparing the results to the literature, it has been confirmed that this method has sufficient computational accuracy to solve electromagnetic field numerical simulation problems containing moving conductors. Additionally, a three-dimensional simulation model of the electromagnetic coil gun has been established to verify the viability of the proposed method for solving magnetic field problems under the electromagnetic launch (EML) system. The study also examined the change in magnetic field strength and current density of the EML device during the launching process. The results lay the foundation for the technical application of this method.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 2","pages":"Pages 1127-1139"},"PeriodicalIF":0.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140788285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards clean energy: Design and integration strategy of photovoltaics for residential electrification","authors":"Dewan Mahnaaz Mahmud ,&nbsp;Emmanuel Eragbe Sule ,&nbsp;Teng Wang ,&nbsp;Vinu Thomas","doi":"10.1016/j.jer.2024.03.008","DOIUrl":"10.1016/j.jer.2024.03.008","url":null,"abstract":"<div><div>Rapid global population growth and rising energy demands are causing environmental damage, particularly in developing countries dealing with climate change, pollution, and fuel shortages. Adopting cleaner, more sustainable energy sources could be one solution to this problem. In the context of hybrid energy systems, one proposition is to incorporate renewables into residential developments. This manuscript proposes a grid-connected hybrid (GCH) photovoltaic (PV) system for residential electrification in Dhaka, Bangladesh, and evaluates the technical feasibility. The proposed design includes four scenarios for PV and battery energy storage systems (BESS). The primary goals of the assessment include lowering net present cost (NPC), cost of energy (COE), and unmet load, as well as reducing grid dependence, lowering greenhouse gas (GHG) emissions, and providing grid support. Solar irradiation fluctuations, demand variations, and voltage sag are all factors to consider when evaluating technical feasibility. The four cases were simulated using hybrid optimization with HOMER Pro, to achieve a system that maximizes renewable energy utilization. The analysis concludes that the GCH PV system is best suited for residential power needs, with lower COE, NPC, and grid dependency. The system achieves a COE of $0.0643/kWh, lowers GHG emissions, and attains a renewable fraction of 40%. Technical feasibility is verified using MATLAB-Simulink simulations at the point of common coupling (PCC), which include solar irradiation variations, active and reactive power adjustments based on demand, and voltage sag analysis for grid integration. The proposed system is cost-effective, convenient, and sustainable, with few salvageable components.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 2","pages":"Pages 1329-1343"},"PeriodicalIF":0.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140278823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart inhaler mask for portable medical gas cylinders utilizing IoT technologies","authors":"Nikolaos Kladovasilakis,&nbsp;Eleftheria Maria Pechlivani,&nbsp;Alexandros Kanlis,&nbsp;Anastasia Tsita,&nbsp;Eirini E. Mitsopoulou,&nbsp;Konstantinos Votis,&nbsp;Dimitrios Tzovaras","doi":"10.1016/j.jer.2023.10.037","DOIUrl":"10.1016/j.jer.2023.10.037","url":null,"abstract":"<div><div>Over the past decade, there has been a significant increase in the development of wearable and smart health devices based on the Internet of Things (IoT), that enable real time remote control and monitoring of health parameters. In this context, the purpose of this article is to present the development and evaluation process of a smart inhaler mask designed for medical gas cylinders, utilizing IoT technologies. Handheld medical gas cylinders, although essential for a specific group of people, often come with a significant cost, and lack features such as dosage measurement and gas storage monitoring. Consequently, a smart inhaler mask was developed to address these limitations by enabling in-situ and real-time measurement of gas dosage, tracking the remaining gas within the cylinder, and assisting users in monitoring the overall usage of the medical gas cylinder. To facilitate the access and interpretation of this information, a newly developed and user-friendly Graphical User Interface (GUI) has been implemented in the form of a mobile application. This study outlines the evaluation process employed to verify the reliability and accuracy of the results obtained from the smart inhaler mask.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 2","pages":"Pages 472-479"},"PeriodicalIF":0.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136167804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finite element analysis of motorcycle suspension system stability using different materials","authors":"Towhidul Islam,&nbsp;Md Wasi Uddin,&nbsp;Rokib Uddin","doi":"10.1016/j.jer.2024.01.020","DOIUrl":"10.1016/j.jer.2024.01.020","url":null,"abstract":"<div><div>Due to the unsuitability of conventional materials in Motorcycle Suspension Systems (McSS) for high-stress loads, their poor vibration dampening, uneven distribution of kinetic energy through the spring, and higher cost, there is a need to explore alternative materials for suspension systems. This study focuses on assessing the structural stability of the McSS using different materials. For this purpose, a three-dimensional standard helical spring suspension model is considered, incorporating four different coil spring materials: high carbon steel, titanium, beryllium copper, and nickel-cobalt-chromium alloy. The spring coil suspension body is assumed to have homogeneous and linear material properties. Boundary conditions such as single-person and two-person loads are applied to the suspension. Following this, Finite Element Analysis (FEA) is employed for all material cases to evaluate directional deformation in the <em>y</em>-axis and equivalent stress, and a comparison is made to analyze structural stability. The results indicate that the nickel-cobalt-chromium alloy coil spring exhibits superior performance in terms of deformation and equivalent stress compared to titanium and beryllium copper alloy. Under both load conditions, the maximum deformation of the nickel-cobalt-chromium alloy is 106% and 57% less than titanium and beryllium copper alloy, respectively. However, the deformation and von Mises stress of the nickel-cobalt-chromium alloy are nearly similar to that of steel. Therefore, nickel-cobalt-chromium alloy can serve as an alternative to titanium and beryllium copper alloy when suspension weight is not a concern. However, high carbon steel is the better choice among the four materials due to its comparatively lower weight, optimal deformation, and higher von Mises stress.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 2","pages":"Pages 1230-1240"},"PeriodicalIF":0.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139636094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparative study on the probability distribution model for the compressive strength of concrete with consideration of the size effect","authors":"Chi-Cong Vu ,&nbsp;Ngoc-Khoa Ho","doi":"10.1016/j.jer.2023.12.007","DOIUrl":"10.1016/j.jer.2023.12.007","url":null,"abstract":"<div><div>In the present paper, a comparative investigation on the size dependence of the probability distribution of the compressive strength of concrete by using three common probability models, including normal, log-normal, and Weibull distributions, was carried out on a set of 360 measured strength values. These strength datasets were derived from a comprehensive set of compression tests conducted on 240 molded cylinders of four distinct cylindrical sizes (<span><math><mrow><mi>d</mi><mo>×</mo><mi>l</mi></mrow></math></span>= 50 ×100 mm, 75 ×150 mm, 100 ×200 mm, and 150 ×300 mm) and 120 concrete cores of two different sizes (<span><math><mrow><mi>d</mi><mo>×</mo><mi>l</mi></mrow></math></span>= 50 ×100 mm and 75 ×150 mm), which were prepared using two different concrete mix proportions. From this analysis, it is indicated that: (i) regardless of the mix proportion, size, and type of the concrete specimen, the normal distribution provides the most relevant model for interpreting not only the probability distribution of the compressive strength of concrete but also its size dependence, as confirmed by both the maximum log-likelihood and minimum distance criteria; (ii) the size dependency of concrete compressive strength results in its probability distribution also being affected by the specimen size; (iii) the size dependence of the probability distribution of concrete compressive strength can be interpreted through the normal and log-normal distributions, but not through the Weibull distribution; and (iv) using large-sized molded specimens (i.e., concrete samples with a characteristic dimension exceeding 100 mm) instead of small specimens or cores should be recommended in investigating the probability distribution of the compressive strength of concrete.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 2","pages":"Pages 1403-1413"},"PeriodicalIF":0.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139192056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning approach to detect android malware using feature-selection based on feature importance score","authors":"Amarjyoti Pathak ,&nbsp;Utpal Barman ,&nbsp;Th. Shanta Kumar","doi":"10.1016/j.jer.2024.04.008","DOIUrl":"10.1016/j.jer.2024.04.008","url":null,"abstract":"<div><div>The hazards posed by malware are proliferating along with technology’s rapid advancement and the use of online services. Specifically, attacks on Android devices are growing enormously because of the boost in the popularity of Smartphones. Existing research confirms that identifying benign or malware applications on the Android platform is possible by analysing the permissions through the machine-learning classifier. There are machine-learning techniques that create models to detect Android malware using permission-based attributes. However, further research is still needed to develop effective feature selection strategies for malware detection mechanisms in Android. In this study, a machine-learning-based Android malware detection mechanism is proposed, and standard machine-learning algorithms are used on multiple permission-based datasets to classify malware. This study suggests a feature selection method that uses the feature importance score computed using Gradient boosting to identify the essential permissions. The proposed methodology decreases the feature vector’s dimension, reducing the model’s training time. We also compare the classifier’s performance with the complete feature set and with the reduced feature set. Examining the results, we notice that the algorithm’s execution time improved significantly for all datasets with negligible loss in accuracy.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"13 2","pages":"Pages 712-720"},"PeriodicalIF":0.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140756812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}