Engineering Science and Technology-An International Journal-Jestech最新文献

{"title":"Computational analysis of bioconvective MHD hybrid nanofluid flow of non-Newtonian fluid over cone/plate: A study based on the Cattaneo-Christov heat and mass flux model","authors":"P. Francis ,&nbsp;P. Sambath ,&nbsp;S. Noeiaghdam ,&nbsp;U. Fernandez-Gamiz ,&nbsp;S. Dinarvand","doi":"10.1016/j.jestch.2025.101970","DOIUrl":"10.1016/j.jestch.2025.101970","url":null,"abstract":"<div><div>The effective use of non-Newtonian fluids is essential in heat and mass transfer applications, such as the use of thermal paste for CPU cooling. This study employs a computational approach to analyze the behavior of non-Newtonian fluids on the surface of a vertical cone and plate, with a focus on enhancing heat transfer through the application of nanofluids. Specifically, the Cattaneo-Christov heat and mass flux model is applied to magnetohydrodynamic (MHD) bio-convective Eyring-Powell hybrid nanofluid flow over a permeable cone and plate. A similarity transformation is used to simplify the complex partial differential equations into ordinary differential equations, which are then solved using the Keller Box finite difference method. The results demonstrate that MHD, porosity, and the Cattaneo-Christov heat and mass flux significantly influence the velocity, temperature, concentration, and microorganism profiles of the hybrid nanofluid flow. In a comparative study between the vertical cone and plate geometries, the vertical plate showed superior heat and mass transfer performance. Additionally, the effects of MHD and porosity are shown to enhance microorganism diffusion by increasing heat and mass transfer rates, leading to more efficient transport processes. A comparison with existing literature shows a strong agreement with previous findings.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101970"},"PeriodicalIF":5.1,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early and long-term performance evaluation of low NaOH concentrated waste HBP-GGBS based alkali activated composites","authors":"Mine Kurtay-Yıldız","doi":"10.1016/j.jestch.2025.101997","DOIUrl":"10.1016/j.jestch.2025.101997","url":null,"abstract":"<div><div>This study investigates the long-term (365 days) performance of alkali activated composites (AACs) produced using GGBS and waste hollow brick powder (HBP) and activated with a low concentration (6 M) NaOH solution. Furthermore, it evaluated mechanical strength, durability and microstructure properties together, focusing on long-term performance analysis, which is limited in the literature. Mechanical properties, including compressive, flexural, and split tensile strengths, were evaluated over 7, 28, 90, 180, and 365 days, while durability tests (sulfate resistance, carbonation, and capillary water absorption) were carried out at 1, 3, 6, and 12 months. Microstructural analyses using XRD, FTIR, DTA-TGA and SEM-EDS were performed at 28 and 365 days. The results revealed significant improvements in mechanical performance over time, with compressive, flexural, and split tensile strengths reaching 77.05 MPa, 7.78 MPa, and 2.63 MPa at 365 days, respectively. Regression analysis showed strong correlations between compressive and flexural strengths and moderate to strong correlations between tensile and flexural strengths. Durability evaluations revealed resistance to sulfate attack and carbonation, emphasizing the long-term stability of the material under aggressive environmental conditions. Furthermore, microstructural findings confirmed the formation of intact gel phases, emphasizing the importance of curing time and the complementary nature of these analytical methods. This study determined the importance of curing time in optimizing the mechanical and durability properties of waste HBP-GGBS based AACs. In addition, this study demonstrates the potential of waste HBP-GGBS based AACs as sustainable, durable, and high-performance construction materials.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101997"},"PeriodicalIF":5.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Entropy optimized nanomaterial flow with Soret and Dufour impacts","authors":"Tasawar Hayat ,&nbsp;Aimen Tahir ,&nbsp;Aneeta Razaq ,&nbsp;Sohail A. Khan","doi":"10.1016/j.jestch.2025.101971","DOIUrl":"10.1016/j.jestch.2025.101971","url":null,"abstract":"<div><div>The considered configuration has relevance for polymer extrusion, cable coating, spinning of filaments and metallurgical processes. In view of such important applications the irreversibility analysis in hydromagnetic Maxwell nanoliquid flow by stretching cylinder is considered. Darcy-Forchheimer expression characterizes porous medium. Heat and mass transfer by convective conditions are studied. The aspects of random motion, thermophoresis and Soret and Dufour impacts are under consideration. Energy expression comprises thermal radiation, Dufour effect, random motion and thermophoresis. Entropy production for chemically reactive flow with Darcy-Forchheimer relation is studied. Nonlinear ordinary equations are obtained by employing adequate transformations. Numerical solutions are computed through ND-solve technique. The behaviors of emerging parameters for quantities of importance are explored. Clearly it is noticed that velocity tends to decrease as the material parameter increases whereas opposite behavior witnessed for mixed convection variable. Temperature distribution enhanced against Dufour and thermal Biot numbers. Concentration shows increasing behavior against solutal Biot and Soret numbers. Entropy rate shows increasing behavior against higher Brinkman number whereas opposite scenario noticed through Bejan number. An opposite behaviors for entropy and Bejan number against curvature variable are witnessed. Thermal distribution increased for higher Eckert number.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101971"},"PeriodicalIF":5.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets","authors":"Sedat Korkmaz","doi":"10.1016/j.jestch.2025.101976","DOIUrl":"10.1016/j.jestch.2025.101976","url":null,"abstract":"<div><div>Machine learning algorithms assume that datasets are balanced, but most of the datasets in the real world are imbalanced. Class imbalance is a major challenge in machine learning and data mining. Oversampling and undersampling methods are commonly used to address this issue. Edited Nearest Neighbor (ENN) and Synthetic Minority Oversampling Technique (SMOTE) are essential methods for undersampling and oversampling, respectively. DEBOHID is a recently proposed differential evolution-based oversampling approach for highly imbalanced datasets. In this work, DEBOHID and ENN methods are combined to present a novel hybrid method called D-ENN. The performance of D-ENN was evaluated using 44 highly imbalanced datasets. A parameter analysis was conducted on D-ENN to determine the optimal values for the F, CR and D-ENN-Type parameters. Three classifiers were used in the study: Support Vector Machines (SVM), Decision Tree (DT), and K-nearest Neighbor (kNN), and reported their G-mean and Area Under Curve (AUC) values. Upon evaluation of the average Winner, Mean Rank and Final Rank values obtained for each classifier and metric pair, the proposed D-ENN method demonstrated superior performance compared to nine state-of-the-art sampling methods, with an average Winner value of 13, an average Mean Rank value of 3.40 and an average Final Rank value of 1.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101976"},"PeriodicalIF":5.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143211295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Boost pressure influence on combustion, emission characteristics, and performance of diesel engines with various fuel types","authors":"Hüseyin Söyler","doi":"10.1016/j.jestch.2025.101983","DOIUrl":"10.1016/j.jestch.2025.101983","url":null,"abstract":"<div><div>This study investigates the effects of varying boost pressure levels on engine performance, combustion characteristics, and emissions using different fuel types (diesel, B50, B100) under various engine loads. The results show that increasing boost pressure generally enhances engine performance by raising in-cylinder pressure and heat release rates. For instance, at 75 % engine load, the cylinder pressure increased by 18.7 % for diesel and 15.9 % for B100 when the boost pressure was raised from −20 % to + 20 %. Similarly, combustion efficiency improved, with ignition delay reduced by approximately 4.1 % for diesel and 6.5 % for B100 under the same conditions. However, higher boost pressure also led to increased Brake Specific Fuel Consumption (BSFC), particularly for biodiesel fuels; for B100, BSFC increased from 297.1 g/kWh to 304.95 g/kWh at 50 % engine load. In terms of emissions, higher boost pressure significantly decreased CO and HC emissions by up to 7.5 % and 15.3 %, respectively, for B100. Nevertheless, NOx emissions increased by 5.3 % due to the oxygen content of biodiesel. Soot emissions were notably reduced, with a maximum reduction of 58.4 % observed at 75 % engine load and + 20 % boost pressure for diesel fuel. These findings underscore the need for additional strategies to control NOx emissions, especially for biodiesel applications. In conclusion, optimizing boost pressure is critical for improving engine performance and emissions. Biodiesel and its blends, despite their higher NOx emissions, provide significant environmental benefits due to their cleaner combustion characteristics. This study contributes valuable insights for designing more efficient and sustainable internal combustion engines.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101983"},"PeriodicalIF":5.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143211294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing voice spoofing detection in noisy environments using frequency feature masking augmentation","authors":"Soyul Han ,&nbsp;Jaejin Seo ,&nbsp;Sunmook Choi ,&nbsp;Taein Kang ,&nbsp;Sanghyeok Chung ,&nbsp;Seungeun Lee ,&nbsp;Seoyoung Park ,&nbsp;Seungsang Oh ,&nbsp;Il-Youp Kwak","doi":"10.1016/j.jestch.2025.101972","DOIUrl":"10.1016/j.jestch.2025.101972","url":null,"abstract":"<div><div>In the rapidly evolving landscape of voice-related technology, high-tech companies are developing multifaceted voice assistants, tailored to their specific organizational goals. This technological evolution, however, introduces heightened security vulnerabilities such as voice spoofing attacks. To address voice spoofing challenges, various competitions like ASVspoof 2015, 2017, 2019, 2021, and ADD 2022 have emerged. ADD 2022’s Track 1 aimed to classify genuine and fake speech signals in the presence of noise. Our exploratory data analysis revealed that for a given speech sample, noisy signals tend to occur within similar frequency bands. If a model is heavily reliant on data within frequency ranges that contains noise, its performance will be suboptimal. To address this issue, we propose a data augmentation technique called Frequency Feature Masking (FFM), which randomly masks frequency bands. FFM helps prevent overfitting and enhances the model’s robustness by avoiding reliance on specific frequency bands. Furthermore, we propose a frequency band masking method using a bell-shaped filter. This allows for smooth transitions between masked and unmasked frequencies, enabling the model to naturally mimic frequency variations in real speech signals. We compare the performance of various data augmentation methods with FFM in two spoofing detection datasets, ASVspoof 2019 LA and ADD 2022. The proposed FFM augmentation achieves state-of-the-art results in both datasets. The ADD 2022 dataset showed an improvement of approximately 51% after the application of FFM, while there was a 54% improvement in the ASVspoof 2019 LA dataset. In addition, we have made the code and demo used in the experiment publicly available.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101972"},"PeriodicalIF":5.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143211335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots","authors":"Mohamed Kmich ,&nbsp;Nawal El Ghouate ,&nbsp;Ahmed Bencharqui ,&nbsp;Hicham Karmouni ,&nbsp;Mhamed Sayyouri ,&nbsp;S.S. Askar ,&nbsp;Mohamed Abouhawwash","doi":"10.1016/j.jestch.2025.101982","DOIUrl":"10.1016/j.jestch.2025.101982","url":null,"abstract":"<div><div>The control of wheeled mobile robots plays a crucial role in many fields, including automation, logistics, security, and even space exploration. This paper presents a significant improvement in the control of wheeled mobile robots based on an enhanced version of the Puma optimization algorithm by integrating chaotic maps in both optimization phases, exploration and exploitation. The Chaotic Puma Optimizer Algorithm (CPOA) has been tested and proven effective on CEC’2022 benchmarks and three complex engineering problems. It has outperformed standard and improved metaheuristic algorithms in controlling nonlinear and time-varying wheeled mobile robots. The results show a notable improvement in terms of response time and stability, thus expanding the potential applications of this optimizer in various fields of engineering and robotics.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101982"},"PeriodicalIF":5.1,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid photovoltaic and thermoelectric generator systems with thermal wheel Ventilation: A sustainable approach to residential heating and cooling","authors":"Tian Congxiang ,&nbsp;Zhu Guoqing ,&nbsp;Yang Yong","doi":"10.1016/j.jestch.2025.101968","DOIUrl":"10.1016/j.jestch.2025.101968","url":null,"abstract":"<div><div>The growing need for sustainable energy solutions in residential buildings has driven research into renewable energy integration. While photovoltaic (PV) systems are well-explored, the combination of PV with thermal wheel (TW) systems and thermoelectric generator (TEG) units in thermoelectric ventilation (TEV) systems remains less studied. This paper investigates a hybrid system combining a concentrating PV (CPV)-TEG and a TW-TEV system for residential heating and cooling. Using energy and exergy analysis, two performance indicators, the Energy Proficiency Indicator (PIen) and the Exergy Proficiency Indicator (PIex), were introduced and calculated for a building in Jingzhou, Hubei, China. Results revealed peak PIen and PIex values of 2.44 and 33.55 in September and April, respectively. Additionally, increasing the number of thermoelectric coolers from 10 to 50 enhanced average yearly PIen and PIex by 60.45% and 81.32%. This study’s findings are significant for urban planners and engineers aiming to reduce energy consumption and emissions, offering a practical approach to sustainable building technologies.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"62 ","pages":"Article 101968"},"PeriodicalIF":5.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"State-of-the-art and future trends in electric vehicle charging infrastructure: A review","authors":"Sudev V.,&nbsp;Sindhu M.R.","doi":"10.1016/j.jestch.2025.101946","DOIUrl":"10.1016/j.jestch.2025.101946","url":null,"abstract":"<div><div>In this era of global warming and climate change, the trend towards “GO GREEN” is gaining significant attention because of its advantages for the world in general and society in particular. One of the most significant aspects of this “GO GREEN” is the sustainable mobility sector, which focuses not only on reducing the usage of fossil fuels but also on enhancing the efficiency of the transportation system. The most critical infrastructure required in the sustainable transportation ecosystem is the Electric Vehicle Charging Stations (EVCS) as it plays a crucial role in increasing the acceptance of Electric Vehicles (EVs). However, a detailed study of the existing EVCS infrastructure is vital for further deepening the research in this area so that future EVCS infrastructure can be developed by overcoming current shortcomings and addressing the needs of the EV ecosystem. Given this fact, this paper investigates in detail the significant aspects, current progress, and future trends associated with the EVCS and its sub-units like power converters, Energy Storage Systems (ESS), charging technologies, etc. This paper primarily focuses on the power converters and the charging technologies as this forms the ‘heart’ of an EVCS, while also elaborating on other associated topics like ESS, EVCS classification, etc. This paper also discusses in detail the issues faced while charging EVs in extreme weather conditions by considering the case of EVs not charging in Chicago in January 2024 and also discusses how the new charging techniques like Constant Current Constant Temperature Constant Voltage (CCCTCV) can help in overcoming such issues. Various important papers in these areas, their contributions, and shortcomings are deliberated in this paper. This paper also highlights the important power converter topologies and charging technologies, their features, characteristics, advantages and disadvantages, and their application scope in the EV ecosystem. The combination of conventional power converters with advanced control techniques, dynamic charging techniques, and post-Li-ion ESS will help in building a futuristic, reliable, and resilient EVCS infrastructure.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"62 ","pages":"Article 101946"},"PeriodicalIF":5.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning","authors":"Wei Zhang,&nbsp;Yiyang Li","doi":"10.1016/j.jestch.2025.101951","DOIUrl":"10.1016/j.jestch.2025.101951","url":null,"abstract":"<div><div>In the context of user-side demand response, flexible resources in buildings such as air conditioners and electric vehicles are characterized by small individual capacities, large aggregate scales, and geographically dispersed distributions, necessitating integration by intelligence buildings (IRs). However, the optimization scheduling of IR clusters often involves detailed energy consumption data, posing privacy issues such as revealing household routines. The traditional aggregator-IRs bi-level architecture typically employs centralized or game-theoretic strategies for optimization scheduling, which struggle to balance efficiency and privacy simultaneously. To address this issue, this paper proposes a bi-level optimization scheduling strategy that balances efficiency and privacy. First, deep reinforcement learning models are established for both the aggregator and the IRs to address efficiency. Then, the trained demand response models of the IRs are encapsulated into strategy black boxes and uploaded to the aggregator’s deep reinforcement learning model. Throughout this process, the aggregator remains unaware of the user-side data, thus protecting user privacy. Additionally, considering that training IR strategy black box models is a parallel and similar process, this paper introduces the paradigm of federated learning to reduce learning costs and improve training efficiency on the IRs side. Furthermore, an adaptive clustering federated deep reinforcement learning method is proposed to address the heterogeneity of the IRs. Finally, case studies demonstrate the feasibility and effectiveness of the proposed method.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"62 ","pages":"Article 101951"},"PeriodicalIF":5.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}