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

{"title":"Additive manufacturing of thermoset elastomers: A review of emerging technologies","authors":"Csenge Tóth ,&nbsp;Ábris Dávid Virág ,&nbsp;István Halász-Kutasi ,&nbsp;Norbert Krisztián Kovács ,&nbsp;Tamás Bárány","doi":"10.1016/j.jestch.2025.102143","DOIUrl":"10.1016/j.jestch.2025.102143","url":null,"abstract":"<div><div>Thermoset elastomers (TSEs) are widely used in industries such as automotive, household appliances, healthcare, and fashion due to their flexibility and stability. However, these same properties make TSEs challenging to process using additive manufacturing (AM) techniques. This review categorizes AM technologies for producing TSEs into three main groups: photopolymerization-based, two-phase, and material extrusion–based techniques. Photopolymerization offers high resolution and material versatility but is constrained by build size and environmental impacts. Two-phase systems enable tunable properties but suffer from rheological and bonding issues, while material extrusion is more cost-effective yet less precise. Overall, current research primarily concentrates on technology and formulation development. Mechanical characterization of 3D-printed TSEs is typically limited to tensile properties. Comprehensive mechanical testing, including application-specific properties, is still rare and remains an essential area for future qualification of technological advances. The sustainability aspects of 3D printing TSEs are also addressed, with a focus on environmentally friendly raw material selection and the general environmental considerations of 3D printing methods. Emerging trends in this field include the development of smart materials, sustainable solutions, and integrated hybrid methods that incorporate artificial intelligence and machine learning.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102143"},"PeriodicalIF":5.1,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing multi-objective hybrid energy systems with pumped hydro storage for enhanced stability and efficiency in renewable energy integration","authors":"Junxian Li ,&nbsp;Jiaxin Yuan ,&nbsp;Xuxin Yue","doi":"10.1016/j.jestch.2025.102142","DOIUrl":"10.1016/j.jestch.2025.102142","url":null,"abstract":"<div><div>Renewable energy sources include the intermittent nature, which is a vital challenge that causes considerable wind and solar energy losses. To address this challenge, this paper introduces a new approach for the optimal multi-objective distribution of a hybrid energy production system. The proposed system comprises hydropower, wind, solar, and thermal energy, which is boosted by pumped hydro energy storage. The investigation primary aim is minimizing the electricity fluctuations’ impact through the renewable enegy sources integration in the large scale. The optimization strategy encompasses a series of complex constraints in term of hydropower plant, in which pumped hydro energy storage provides an accurate flexibity. This stragey aims to improve the overall efficiency and reliability of the hybrid production system. This efficient strategy consists of the inherent complexities, which is solved by the NSGA-II algorithm. The multi-objective approach of optimization procedure performs Pareto solution sets that reflects trade-offs between remaining load variations and operational costs. Therefore, the PROMETHEE-GAIA Method with CRITIC weighting is used to identify the most desirable solutions. The integration of different renewable energy sources provides insights into the dynamic response of the system to various conditions. Significantly, the results emphasize the considerable impact of allocating pumped hydro energy storage in the hybrid energy system, showcasing its potential to significantly reduce operational costs and load fluctuation. These findings are promising for the practical implementation of pumped hydro energy storage in addressing challenges associated with integrating renewable energy sources, thereby contributing to the stability and overall resilience of the power grid.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102142"},"PeriodicalIF":5.1,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 for handover decision with mobile edge computing in 6G mobile network: a survey","authors":"Soule Issa Loutfi ,&nbsp;Ibraheem Shayea ,&nbsp;Ufuk Tureli ,&nbsp;Ayman A. El-Saleh ,&nbsp;Waheeb Tashan ,&nbsp;Ramazan Caglar","doi":"10.1016/j.jestch.2025.102131","DOIUrl":"10.1016/j.jestch.2025.102131","url":null,"abstract":"<div><div>The forthcoming Six-Generation (6G) cellular network promises to provide novel developments in network architecture, offering greater data rates and ultra-low latency, ensuring seamless and reliable connectivity with a high quality of service for a massive number of connected devices. Even though efficient handover decision-making is one of the critical challenges in 6G networks, especially with high mobility scenarios and complex characterization of future networks. The case becomes more critical with the implementation of Mobile Edge Computing (MEC), which will lead to making the handover decision process more challenging due to its characterization and high requirements. This paper presents a systematic review of the handover decision (HOD) with MEC in 6G networks, providing a deep understanding of the most standing challenges and solutions addressing mobility management issues in 6G mobile networks. Moreover, machine learning (ML) and deep learning (DL) technologies are the key promising solutions for intelligent HOD-making in 6G networks with MEC. Therefore, this research work also aims to give a main focus on studying and highlighting the advanced ML methods that can be used to enhance HOD-making in 6G cellular networks with MEC. Furthermore, a comprehensive review of HOD-based ML solutions is provided to enhance the Quality of Service (QoS) of user experience in Heterogeneous Networks (HetNet), instilling confidence in the paper’s findings. Besides, proposed solutions for HODs using ML models with next-generation network requirements and possible technologies are presented. We also describe research challenges and future directions for achieving this study.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102131"},"PeriodicalIF":5.1,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of scoria powder on the strength and porosity of porous concrete produced with recycled porous concrete aggregate","authors":"Demet Yavuz","doi":"10.1016/j.jestch.2025.102141","DOIUrl":"10.1016/j.jestch.2025.102141","url":null,"abstract":"<div><div>In recent years, there has been a significant increase in the cycle of demolition and reconstruction, driven by the growing demand for housing and urbanization in developing countries. As new buildings are constructed at a rapid pace, the resulting debris from older structures presents a considerable challenge, particularly because of limited storage capacity. This study focused on the production of porous concretes using recycled aggregates. To address the low strength associated with recycled aggregates, 5 % (by weight) of silica fume was incorporated, while scoria was used to replace cement at varying levels of 5 %, 10 %, 15 %, 20 %, 25 %, and 30 % by weight. The research also analyzed the pore structure and distribution within the porous concrete through computed tomography, with an emphasis on its mechanical properties, porosity, and water permeability. The results demonstrate that scoria serves effectively as a binder, successfully substituting for cement. Additionally, the integration of scoria enhanced the compressive strength of the porous concrete after a 120-day curing period, due to pozzolanic reaction caused by scoria, while also reducing water permeability.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102141"},"PeriodicalIF":5.1,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Time-dependent assessment of aircraft cable current capacity for lightweight design","authors":"Ali Can Yılmaz ,&nbsp;Ahmet Akbulut","doi":"10.1016/j.jestch.2025.102136","DOIUrl":"10.1016/j.jestch.2025.102136","url":null,"abstract":"<div><div>This study proposes a time-dependent methodology for determining the current-carrying capacity of aircraft cables, addressing limitations in aviation standards such as AS50881. The aim is to enable more efficient cable selection by accounting for short-term, high-current scenarios — such as engine start-up or actuator engagement — that are typically neglected in existing standards. The proposed model incorporates environmental and operational parameters including ambient temperature, altitude, bundling conditions, and current duration. An empirical formula is developed and experimentally validated using a custom test setup replicating realistic aerospace conditions. Comparative analysis with other approaches demonstrates that the proposed method allows for accurate current rating while enabling significant reductions in cable size and weight. Experimental results indicate that current capacity predictions by AS50881 are conservative by approximately 12%, confirming opportunities for optimization. A case study on a two-pilot aircraft shows that adopting the proposed approach could reduce wiring weight by up to 20%, without compromising safety. This research provides a practical framework for incorporating time-dependent behavior into cable sizing, offering substantial benefits in terms of efficiency, sustainability, and compliance in modern aircraft wiring systems.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102136"},"PeriodicalIF":5.1,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of heat transfer and entropy for Maxwell dusty fluid: Significance of Lorentz force and variable viscosity","authors":"Aziz Ullah Awan ,&nbsp;Sidra Qayyum ,&nbsp;Bagh Ali ,&nbsp;Fehmi Gamaoun ,&nbsp;Nehad Ali Shah ,&nbsp;N. Ameer Ahammad ,&nbsp;Sohail Nadeem","doi":"10.1016/j.jestch.2025.102129","DOIUrl":"10.1016/j.jestch.2025.102129","url":null,"abstract":"<div><div>Dusty fluids are an indispensable source of efficient heat production with many applications in many scientific and technical fields. The incorporation of dust nanoparticles, characterized by their enhanced thermal properties, broadens the range of potential applications to include complex domains such as chemical and mechanical engineering and cutting-edge technological environments. The main aim of this investigation is to explore the momentum and thermal transfer properties of a magnetohydrodynamics Maxwell nanofluid passing through an inclined surface while carrying conductive dust particles as a volume fraction. This study provides a means to optimize thermal systems in engineering and technological settings by examining dusty Maxwell nanofluids under magnetic and convective circumstances. The problem is theoretically simulated by incorporating the mixed convective situation and magnetic influence. Furthermore, analyzing the Bejan number and entropy generation reveals the stream’s delicate aspects. Using similarity transformation, the heat transfer and fluid flow controlling equations are converted into ordinary differential equations that are nonlinear, which are solved numerically by a shooting approach. The effects of dimensionless controlling factors on flow velocity, Bejan number, entropy generation rate, and thermal profiles are examined and shown using graphics. Additionally, the Nusselt number and friction factor are computed. The results demonstrated that the mixed convection parameter and the dusty-fluid interaction variable increase the entropy production and the Bejan number. It is also explored that the velocity and thermal profile exhibit distinguishing behavior for increasing magnetic variables. The Bejan number and the entropy generation rate show an increasing trend as the Maxwell fluid parameter rises. The improved elastic effects of the Maxwell fluid, which increase internal friction and heat transfer irreversibility, cause this rise. Compared to previous studies, the results obtained showed an elevated level of homogeneity and precision.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102129"},"PeriodicalIF":5.1,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive controller for multirotor based on estimated parameters","authors":"Sophyn Srey ,&nbsp;Sarot Srang ,&nbsp;Lycheck Keo","doi":"10.1016/j.jestch.2025.102121","DOIUrl":"10.1016/j.jestch.2025.102121","url":null,"abstract":"<div><div>This paper presents an innovative design of an adaptive control system for multirotors, unmanned aerial vehicles (UAVs) based on estimated parameters. A dynamic model of the UAV is derived by using the Newton–Euler method in terms of angular velocity. The derived model is then simplified into three separated-first-order linear differential equations, with coefficients derived from the combined effects of inertia, aerodynamic drag, gyroscopic effects, and angular rate, referred to as lumped parameters. To estimate those lumped parameters for designing controller, each simplified equation is restructured into a processing and measurement model. The states of these models are estimated by using the extended Kalman filter (EKF). A Proportional–Integral (PI) controller with control gains and dynamic and constant compensation, which are computed from the lumped parameters, is proposed to control the output of the simplified model. The entire multirotor controller is built and classified inner loop and outer loop as desired trajectory controller, altitude and thrust controller, attitude controller, adaptive angular velocity controller, and kinematics and dynamic controller. The proposed controller is simulated by using Matlab Simulink R2023b with circular and square trajectories with variable payload. The simulation results demonstrate that the proposed controller allows the multirotor to follow both desired paths successfully about 5 s. The steady-state error all axes in both paths is less than 0.02 meters. There is no significant fluctuation when UAV change payload and tracking direction. Moreover, the estimated parameters remain nearly constant at a steady state.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102121"},"PeriodicalIF":5.1,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synchronous reluctance machine design considering slotting effect and rotor topology optimization","authors":"Sayyed Haleem Shah ,&nbsp;Omer Mohammed Elbabo Mohammed ,&nbsp;Sadiq Ur Rahman ,&nbsp;Hui Cai","doi":"10.1016/j.jestch.2025.102140","DOIUrl":"10.1016/j.jestch.2025.102140","url":null,"abstract":"<div><div>This research explores design criteria for a synchronous reluctance machine (SynRM) with a four-layer rotor flux barrier structure with different design shapes. The main focus is to investigate slot harmonics and the angle influence of rotor flux barrier ends on the machine’s electromagnetic and structural performance. Firstly, an analytical relationship is derived between the slot harmonics, flux barrier angle, and its impact on the machine’s electromagnetic performance. An optimization analysis is conducted for different rotor flux barrier design shapes, focusing on the impact of angle variation of flux barrier ends on the airgap flux density, torque, torque ripples, radial forces, vibration, and noise behaviour of SynRM designs. A performance improvement method based on flux barrier ends angle optimization for SynRM is proposed through the cancellation of phases between the fundamental wave and slot harmonics. The best and worst design scenarios for SynRM design obtained through angle variation of the flux barrier ends are explored considering its electromagnetic and structure performance metrics. The proposed method and optimization technique are validated for different designs of SynRM with fluid shapes and straight segmented shapes flux barriers under different slot pole combinations. The suggested angle optimization method for flux barrier ends significantly minimizes torque ripple and enhances the electromagnetic and vibro-acoustic behaviour of SynRMs, thus expanding their applicability across various application areas.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102140"},"PeriodicalIF":5.1,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solving the 3D Multi-Objective Dynamic AUV Path Planning Problem Based on the Improved Morphin-Altruistic NSGAII Algorithm","authors":"Man Zhang ,&nbsp;Jianhong Chen ,&nbsp;Haibin Ouyang ,&nbsp;Shangbin Long ,&nbsp;Steven Li ,&nbsp;Chunliang Zhang ,&nbsp;Weiping Ding ,&nbsp;Essam H. Houssein","doi":"10.1016/j.jestch.2025.102137","DOIUrl":"10.1016/j.jestch.2025.102137","url":null,"abstract":"<div><div>As ocean exploration delves deeper, autonomous underwater vehicles (AUVs) have become essential tools for ocean missions. Dynamic path planning seeks to find an optimal path for AUVs from a start point to the target while avoiding collisions with moving obstacles. However, current dynamic path planning faces several challenges such as three-dimensional environments and multi-objective problems, resulting in impractical solutions. To address these challenges, this paper proposes improved Morphin-Altruistic Nondominated Sorting Genetic Algorithm II (ANSGAII). More specifically, contributions presented in this paper are as follows: (1) An improved Three-dimension multi-objective path planning model is proposed, which incorporates depth considerations and simultaneously optimises for path length, safety, and smoothness. An enhanced path collision detection mechanism is also designed. (2) The ANSGAII, inspired by altruism in animal populations, is proposed to enhance optimisation efficiency and reduce computational load by transferring update opportunities from the weak to the strong individuals. (3) The best path is selected based on weighted criteria, and the Morphin algorithm is utilised to timely get around dynamic dangers. Experimental results demonstrate that the paths generated by the improved Morphin-ANSGAII algorithm better balance the objectives and effectively help AUVs avoid dynamic obstacles.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102137"},"PeriodicalIF":5.1,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transfer learning based hybrid feature learning framework for enhanced skin cancer diagnosis using deep feature integration","authors":"Maridu Bhargavi ,&nbsp;Sivadi Balakrishna","doi":"10.1016/j.jestch.2025.102135","DOIUrl":"10.1016/j.jestch.2025.102135","url":null,"abstract":"<div><div>Skin cancer continues to be a major health problem worldwide, with excessive misdiagnosis of skin cancer among dermatologists resulting in delayed treatment and poor patient outcomes. To improve survival chances, skin cancer must be identified accurately and promptly. However, current diagnostic methods lack feature representation and model generalization. Among the primary challenges in automated skin cancer classification are addressing differences in lesion appearance, occlusions, and data class imbalance that impact model performance and reliability. To address these issues, this research proposes the DRMv2Net model, a feature fusion deep learning-based technique that integrates multiple pre-trained convolutional neural networks to enhance skin cancer diagnosis. The method applies a systematic pipeline that includes pre-processing, feature extraction, fusion, and classification. The pre-processing techniques such as adaptive thresholding for hair artifact removal, image inpainting to remove occlusions, and data augmentation for class balancing, were applied to enhance the quality of inputs. Using DenseNet201, ResNet101, and MobileNetV2, diverse features like edges, texture, and color change were extracted and concatenated to build a rich feature representation, followed by fully connected layers for classification. The two benchmark datasets, ISIC 2357 and PAD-UFES 20, are used extensively in testing the DRMv2Net model. A comparison with standalone CNN models such as DenseNet201, ResNet101, MobileNetV2, VGG19, and Xception shows that feature fusion had better accuracy results of 96.11 % on ISIC 2357 and 96.17 % on PAD-UFES 20 respectively when compared to values obtained by existing standalone models. These results demonstrate the strength of feature fusion and pre-processing in boosting how accurately skin cancer is identified and offer a robust and scalable automatic medical image classification solution.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"69 ","pages":"Article 102135"},"PeriodicalIF":5.1,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144580942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}