Ain Shams Engineering Journal最新文献_第10页

Magnetic field effects on the thermo-hydrodynamic behavior of a microscale Tesla valve operating with Fe3O4-water ferro-nanofluid 磁场对fe3o4 -水铁纳米流体操作的微尺度特斯拉阀热流体动力学行为的影响

IF 5.9 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal

Pub Date : 2026-01-01 Epub Date: 2025-12-30 DOI: 10.1016/j.asej.2025.103937

Abderrahim Mokhefi , Eugenia Rossi di Schio , Sarra Youcefi , Paolo Valdiserri

Despite their passive ability to resist reverse flow, Tesla valves can experience altered performance under external influences such as magnetic fields, which can alter or even disrupt the proper functioning of Tesla valves particularly in microscale systems in electronic devices. In this framework, the present study aims to investigate the influence of a horizontal magnetic field on the hydrodynamic and thermal performance of a T45-R microscale Tesla valve integrated into a microsystem. Using computational fluid dynamics (CFD), the effect of the magnetic field, modeled via the Hartmann number (Ha = 0–100), on a laminar (Re = 500) Fe₃O₄-water ferro-nanofluid flow has been analyzed under both forward and reverse flow conditions. The studied flow is governed by the mass, momentum, and energy equations, which has been solved numerically using the finite element method. The results indicate that the magnetic field significantly affects both flow directions, inducing a pressure difference that increases by nearly 150 % for moderate magnetic flux densities (Ha ≈ 25) compared to the non-magnetic case. In forward flow, increased magnetic flux density enhances flow intensity and heat transfer while partially blocking the curved part of the valve, yet it may inadvertently support reverse flow. Diodicity analysis has revealed that valve performance decreases for Hartmann numbers below Ha ≈ 17, independent of nanoparticle concentration, while it improves beyond this threshold. Nevertheless, optimal valve performance is still observed in the absence of a magnetic field.

尽管特斯拉阀具有被动抵抗逆流的能力，但在磁场等外部影响下，特斯拉阀的性能可能会发生变化，这可能会改变甚至破坏特斯拉阀的正常功能，特别是在电子设备的微型系统中。在此框架下，本研究旨在研究水平磁场对集成到微系统中的T45-R微型特斯拉阀的流体动力和热性能的影响。利用计算流体动力学（CFD）方法，通过哈特曼数（Ha = 0-100）模拟磁场对层流（Re = 500） fe3o4 -水铁纳米流体在正向和反向流动条件下的影响。所研究的流动由质量、动量和能量方程控制，并采用有限元方法进行了数值求解。结果表明，磁场对两种流动方向都有显著影响，在中等磁通密度（Ha≈25）的情况下，与无磁情况相比，产生的压差增加了近150%。在正向流动中，增加的磁通密度增强了流动强度和传热，同时部分阻塞了阀门的弯曲部分，但它可能无意中支持反向流动。二度分析表明，当哈特曼数低于Ha≈17时，阀性能下降，与纳米颗粒浓度无关，而超过该阈值后阀性能有所提高。然而，在没有磁场的情况下，仍然可以观察到最佳的阀门性能。

{"title":"Magnetic field effects on the thermo-hydrodynamic behavior of a microscale Tesla valve operating with Fe3O4-water ferro-nanofluid","authors":"Abderrahim Mokhefi , Eugenia Rossi di Schio , Sarra Youcefi , Paolo Valdiserri","doi":"10.1016/j.asej.2025.103937","DOIUrl":"10.1016/j.asej.2025.103937","url":null,"abstract":"<div><div>Despite their passive ability to resist reverse flow, Tesla valves can experience altered performance under external influences such as magnetic fields, which can alter or even disrupt the proper functioning of Tesla valves particularly in microscale systems in electronic devices. In this framework, the present study aims to investigate the influence of a horizontal magnetic field on the hydrodynamic and thermal performance of a T45-R microscale Tesla valve integrated into a microsystem. Using computational fluid dynamics (CFD), the effect of the magnetic field, modeled via the Hartmann number (Ha = 0–100), on a laminar (Re = 500) Fe<sub>3</sub>O<sub>4</sub>-water ferro-nanofluid flow has been analyzed under both forward and reverse flow conditions. The studied flow is governed by the mass, momentum, and energy equations, which has been solved numerically using the finite element method. The results indicate that the magnetic field significantly affects both flow directions, inducing a pressure difference that increases by nearly 150 % for moderate magnetic flux densities (Ha ≈ 25) compared to the non-magnetic case. In forward flow, increased magnetic flux density enhances flow intensity and heat transfer while partially blocking the curved part of the valve, yet it may inadvertently support reverse flow. Diodicity analysis has revealed that valve performance decreases for Hartmann numbers below Ha ≈ 17, independent of nanoparticle concentration, while it improves beyond this threshold. Nevertheless, optimal valve performance is still observed in the absence of a magnetic field.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 1","pages":"Article 103937"},"PeriodicalIF":5.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883551","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}

引用次数: 0

Innovative heat flux modeling for enhanced heat transfer efficiency: Conjugate heat transfer analysis with Cattaneo-Vernotte equation incorporating Maxwellian fluid dynamics 创新的热流密度模型，以提高传热效率：结合麦克斯韦流体动力学的Cattaneo-Vernotte方程的共轭传热分析

IF 5.9 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal

Pub Date : 2026-01-01 Epub Date: 2025-12-20 DOI: 10.1016/j.asej.2025.103917

P. Puvaneswari

A mathematical investigation explored the combined influence of vibration and conjugation on enhancing heat transfer in a laminar oscillatory flow through a heat pipe, also known as the “

D r e a m

P i p e

”. Explicit solutions for the momentum and heat equations are provided, considering the use of viscoelastic fluids (

C P y C l

/

N a S a l

) as heat carriers. While many studies have relied on Fourier’s law to describe heat transport, this approach may overlook thermal inertia, potentially leading to non-physical behaviors. Instead of Fourier’s law, the Cattaneo-Vernotte equation, incorporating thermodynamic inertia in the heat transport process, is employed to model heat transfer through a circular tube with thermally conducting walls. The analysis examines the impact of conjugation and oscillation parameters on heat transfer characteristics. Optimizing wall thickness leads to a 710.4 % increase in effective thermal diffusivity in the present work, using non-Fourier’s law which is 14 times higher than that (50.63 %) obtained using Fourier’s law approach. The maximum heat flux achieved using the non-Fourier heat conduction law is approximately

7.2 \times 10^{9}

W/m

^{2}

for the fluid with a molar ratio of

R_{M}

= 7 and an acrylic wall material. This occurs at a frequency of 8.7 Hz, which is significantly lower than the frequency used in the analysis based on Fourier’s heat conduction law. Hence, the energy needed to induce fluid oscillation may be diminished, representing a beneficial aspect of the current analysis employing the Cattaneo-Vernotte equation. Hence, the non-Fourier’s law approach offers advantages over the Fourier’s law approach. Indeed, the maximum heat flux obtained with viscoelastic fluid is three orders of magnitude higher than that obtained with Newtonian fluid. The sensitivity analysis confirms that viscoelastic relaxation and non-Fourier effects play the most significant roles in controlling the system’s thermal behavior. The reported results align well with the existing literature.

一项数学研究探索了振动和共轭对通过热管（也称为“梦管”）的层流振荡流增强传热的综合影响。考虑粘弹性流体（CPyCl/ nose）作为热载体，给出了动量方程和热量方程的显式解。虽然许多研究都依赖傅立叶定律来描述热传递，但这种方法可能会忽略热惯性，从而可能导致非物理行为。代替傅立叶定律，卡塔内奥-维诺特方程，在热传递过程中纳入了热力学惯性，被用来模拟热通过具有导热壁的圆管的传热。分析考察了共轭参数和振荡参数对传热特性的影响。利用非傅立叶定律优化壁厚，使有效热扩散系数提高了710.4%，比采用傅立叶定律方法提高了50.63%，提高了14倍。对于摩尔比为RM = 7的流体和丙烯酸壁材，使用非傅立叶热传导定律获得的最大热流密度约为7.2×109 W/m2。这发生在8.7 Hz的频率下，这明显低于基于傅立叶热传导定律的分析中使用的频率。因此，诱导流体振荡所需的能量可能会减少，这代表了采用Cattaneo-Vernotte方程的当前分析的一个有益方面。因此，非傅里叶定律方法比傅里叶定律方法有优势。实际上，用粘弹性流体得到的最大热流密度比用牛顿流体得到的大三个数量级。灵敏度分析证实了粘弹性松弛和非傅立叶效应在控制系统热行为中起着最重要的作用。报告的结果与现有文献很好地吻合。

{"title":"Innovative heat flux modeling for enhanced heat transfer efficiency: Conjugate heat transfer analysis with Cattaneo-Vernotte equation incorporating Maxwellian fluid dynamics","authors":"P. Puvaneswari","doi":"10.1016/j.asej.2025.103917","DOIUrl":"10.1016/j.asej.2025.103917","url":null,"abstract":"<div><div>A mathematical investigation explored the combined influence of vibration and conjugation on enhancing heat transfer in a laminar oscillatory flow through a heat pipe, also known as the “<span><math><mi>D</mi><mi>r</mi><mi>e</mi><mi>a</mi><mi>m</mi></math></span> <span><math><mi>P</mi><mi>i</mi><mi>p</mi><mi>e</mi></math></span>”. Explicit solutions for the momentum and heat equations are provided, considering the use of viscoelastic fluids (<span><math><mi>C</mi><mi>P</mi><mi>y</mi><mi>C</mi><mi>l</mi></math></span>/<span><math><mi>N</mi><mi>a</mi><mi>S</mi><mi>a</mi><mi>l</mi></math></span>) as heat carriers. While many studies have relied on Fourier’s law to describe heat transport, this approach may overlook thermal inertia, potentially leading to non-physical behaviors. Instead of Fourier’s law, the Cattaneo-Vernotte equation, incorporating thermodynamic inertia in the heat transport process, is employed to model heat transfer through a circular tube with thermally conducting walls. The analysis examines the impact of conjugation and oscillation parameters on heat transfer characteristics. Optimizing wall thickness leads to a 710.4 % increase in effective thermal diffusivity in the present work, using non-Fourier’s law which is 14 times higher than that (50.63 %) obtained using Fourier’s law approach. The maximum heat flux achieved using the non-Fourier heat conduction law is approximately <span><math><mn>7.2</mn><mo>×</mo><msup><mn>10</mn><mn>9</mn></msup></math></span> W/m<span><math><msup><mspace></mspace><mn>2</mn></msup></math></span> for the fluid with a molar ratio of <span><math><msub><mi>R</mi><mi>M</mi></msub></math></span> = 7 and an acrylic wall material. This occurs at a frequency of 8.7 Hz, which is significantly lower than the frequency used in the analysis based on Fourier’s heat conduction law. Hence, the energy needed to induce fluid oscillation may be diminished, representing a beneficial aspect of the current analysis employing the Cattaneo-Vernotte equation. Hence, the non-Fourier’s law approach offers advantages over the Fourier’s law approach. Indeed, the maximum heat flux obtained with viscoelastic fluid is three orders of magnitude higher than that obtained with Newtonian fluid. The sensitivity analysis confirms that viscoelastic relaxation and non-Fourier effects play the most significant roles in controlling the system’s thermal behavior. The reported results align well with the existing literature.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 1","pages":"Article 103917"},"PeriodicalIF":5.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789594","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}

引用次数: 0

Propagation of nonlinear dynamics in atomic chains using chaos theory 用混沌理论研究原子链中非线性动力学的传播

IF 5.9 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal

Pub Date : 2026-01-01 Epub Date: 2025-11-05 DOI: 10.1016/j.asej.2025.103828

Beenish , Maria Samreen , Adil Jhangeer

This article presents a variety of novel soliton solutions and a comprehensive dynamical analysis for a complex nonlinear equation modeling the behavior of nonlinear atomic chains with long-range interactions. The governing model is first reduced to lower dimensions via a wave transformation. Utilizing the extended algebraic method, multiple soliton solutions such as kink, double-periodic wave solitons, anti-kink, and dark solitons are systematically derived. These solutions are then illustrated through detailed visualizations, including 2D and 3D graphical representations, to enhance the physical interpretation. Subsequently, a phase portrait analysis is carried out for the critical points of the unperturbed system. We also classify the phase portraits using the Hamiltonian function to further investigate the system’s qualitative behavior. Upon introducing an external perturbation, the resulting dynamical behavior is investigated using advanced chaos detection techniques. These include 2D and 3D phase portraits, Poincaré sections, time series analysis, multistability behavior, quasi-periodic attractors, fractal dimension, bifurcation diagrams, power spectra, and Lyapunov exponents. The soliton solutions have applications in plasma physics, fluid dynamics, nonlinear optics, and communication systems.

本文给出了一个复杂非线性方程的各种新颖孤子解和综合动力学分析，该方程模拟了具有远程相互作用的非线性原子链的行为。控制模型首先通过波变换降维到较低的维度。利用扩展代数方法，系统地推导了扭结孤子、双周期波孤子、反扭结孤子和暗孤子等多孤子解。然后通过详细的可视化（包括2D和3D图形表示）说明这些解决方案，以增强物理解释。随后，对无扰动系统的临界点进行了相画像分析。我们还使用哈密顿函数对相画像进行了分类，以进一步研究系统的定性行为。在引入外部扰动后，使用先进的混沌检测技术研究了产生的动力学行为。其中包括二维和三维相位肖像、庞加莱剖面、时间序列分析、多稳定性行为、准周期吸引子、分形维数、分岔图、功率谱和李亚普诺夫指数。这些孤子解在等离子体物理、流体动力学、非线性光学和通信系统中都有应用。

{"title":"Propagation of nonlinear dynamics in atomic chains using chaos theory","authors":"Beenish , Maria Samreen , Adil Jhangeer","doi":"10.1016/j.asej.2025.103828","DOIUrl":"10.1016/j.asej.2025.103828","url":null,"abstract":"<div><div>This article presents a variety of novel soliton solutions and a comprehensive dynamical analysis for a complex nonlinear equation modeling the behavior of nonlinear atomic chains with long-range interactions. The governing model is first reduced to lower dimensions via a wave transformation. Utilizing the extended algebraic method, multiple soliton solutions such as kink, double-periodic wave solitons, anti-kink, and dark solitons are systematically derived. These solutions are then illustrated through detailed visualizations, including 2D and 3D graphical representations, to enhance the physical interpretation. Subsequently, a phase portrait analysis is carried out for the critical points of the unperturbed system. We also classify the phase portraits using the Hamiltonian function to further investigate the system’s qualitative behavior. Upon introducing an external perturbation, the resulting dynamical behavior is investigated using advanced chaos detection techniques. These include 2D and 3D phase portraits, Poincaré sections, time series analysis, multistability behavior, quasi-periodic attractors, fractal dimension, bifurcation diagrams, power spectra, and Lyapunov exponents. The soliton solutions have applications in plasma physics, fluid dynamics, nonlinear optics, and communication systems.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 1","pages":"Article 103828"},"PeriodicalIF":5.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145467438","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}

引用次数: 0

Torque-adaptive resistance-reducing shoveling strategy for loaders 装载机自适应减阻铲动策略

IF 5.9 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal

Pub Date : 2026-01-01 Epub Date: 2025-11-06 DOI: 10.1016/j.asej.2025.103845

Bingwei Cao , Ruiqiang Guo , Dehao Zhao , Qinghua Li , Xinhui Liu

The time-varying working resistance encountered during the loader shoveling stage constitutes a major contributor to power dissipation. The physical properties of materials are different during shoveling operation, bringing challenges to reducing drag in loader shoveling. Based on the data analysis of the power flow characteristics of loader shoveling operation, a drag reduction shoveling strategy is proposed. Leveraging CAN bus-derived torque demand-actual differentials, this strategy automatically controls the bucket attitude with the change of the power system torque, reduced power loss in the shoveling stage. An intelligent drag reduction strategy, is formulated to address operational material diversity in loaders. The intelligent strategy can be adapted to the operating objects, achieving intelligent adjustment of the bucket shoveling operation amplitude with the change of the operating objects, the power consumption for shoveling sand has been reduced from 125 kW to 92.3 kW, while that for shoveling stone has been reduced to 100.8 kW.

装载机铲土过程中遇到的时变工作阻力是影响功率损耗的主要因素。在铲土作业中，物料的物理性质不同，给装载机铲土过程中减小阻力带来了挑战。在对装载机铲土作业功率流特性进行数据分析的基础上，提出了一种减阻铲土策略。该策略利用CAN总线导出的扭矩需求-实际差值，随着动力系统扭矩的变化自动控制铲斗姿态，减少了铲铲阶段的功率损失。制定了智能减阻策略，以解决装载机操作材料的多样性。该智能策略可适应作业对象，实现斗铲作业幅度随作业对象变化的智能调节，铲砂电耗由125 kW降至92.3 kW，铲石电耗降至100.8 kW。

引用次数: 0

The role of climate change on hydroelectric energy from renewable energy sources: A case study of Sakarya Basin, Türkiye 气候变化对可再生能源水力发电的影响：以Sakarya盆地为例

IF 5.9 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal

Pub Date : 2026-01-01 Epub Date: 2025-10-24 DOI: 10.1016/j.asej.2025.103823

Gokmen Ceribasi , Ahmet Iyad Ceyhunlu , Ahmet Celebi

This research is carried out by applying MRLI method to energy data produced at HEPPs located in Sakarya basin and precipitation and temperature data. This method is being carried out for first time for energy data. Temperature data generally showed increasing trends at low risk levels, while in some stations, decreasing trends were observed at high risk levels. Precipitation data varied by station; decreasing trends were prominent at all risk levels in Sakarya and Kütahya, while both increasing and decreasing trends were observed in stations Düzce and Ankara. Energy data showed distinct trends at different risk levels, with increases observed at some plants at low risk levels, while decreases were observed at others at all levels. These findings suggest that the impacts of climate change on hydroelectric power production are nonlinear and depend on risk level. MRLI reveals contrasting trends at different risk levels that classical linear methods cannot reveal.

本文将MRLI方法应用于Sakarya盆地HEPPs的能量数据以及降水和温度数据。该方法首次应用于能源数据。温度资料在低风险水平上总体呈上升趋势，而在某些站点，在高风险水平上呈下降趋势。降水数据因站而异；在Sakarya和k tahya的所有危险级别都有明显的下降趋势，而在zce和安卡拉站则有上升和下降的趋势。能源数据在不同的风险水平上显示出不同的趋势，在低风险水平的一些工厂观察到增加，而在所有级别的其他工厂观察到减少。这些发现表明，气候变化对水力发电的影响是非线性的，并且取决于风险水平。MRLI揭示了经典线性方法无法揭示的不同风险水平的对比趋势。

引用次数: 0

Governing sustainable urban brownfield redevelopment in China: Applying the Quintuple Helix model in Chengdu 治理中国城市棕地的可持续再开发：五重螺旋模型在成都的应用

IF 5.9 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal

Pub Date : 2026-01-01 Epub Date: 2025-11-14 DOI: 10.1016/j.asej.2025.103855

Dan He , Huizi Deng , Yunlong Niu , Jun Li , Rosilawati Zainol , Nor Shahida Azali

This study examines sustainable urban brownfield redevelopment through the Quintuple Helix Model, encompassing universities, government, industry, civil society, and the environment. A structured survey of 436 respondents across five districts in Chengdu, China, was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results indicate that universities (β = 0.320), government (β = 0.291), and industry (β = 0.308) exert the strongest direct influences on redevelopment outcomes, while civil society (β = 0.089) and environmental factors (β = 0.108) provide smaller but significant contributions. The model also shows high predictive relevance, confirming its robustness in explaining sustainable redevelopment. These findings highlight the central roles of universities, government, and industry as primary drivers of sustainable redevelopment, while civil society and environmental factors act as supportive contributors. The study contributes empirical evidence from China to enrich the Quintuple Helix literature and offers actionable recommendations for planners and policymakers, including strengthening governance platforms, fostering university–industry collaboration, and aligning industrial incentives with ecological goals.

本研究通过五重螺旋模型考察可持续的城市棕地重建，包括大学、政府、工业、民间社会和环境。本文采用偏最小二乘结构方程模型（PLS-SEM）对中国成都五个地区的436名受访者进行了结构化调查。结果表明，大学（β = 0.320）、政府（β = 0.291）和产业（β = 0.308）对城市再开发结果的直接影响最大，民间社会（β = 0.089）和环境因素（β = 0.108）对城市再开发结果的直接影响较小。该模型还显示出较高的预测相关性，证实了其在解释可持续再开发方面的稳健性。这些发现强调了大学、政府和行业作为可持续发展的主要驱动力的核心作用，而民间社会和环境因素则起到了支持性的作用。该研究提供了来自中国的经验证据，丰富了“五螺旋”文献，并为规划者和决策者提供了可操作的建议，包括加强治理平台，促进校企合作，以及将产业激励与生态目标相结合。

{"title":"Governing sustainable urban brownfield redevelopment in China: Applying the Quintuple Helix model in Chengdu","authors":"Dan He , Huizi Deng , Yunlong Niu , Jun Li , Rosilawati Zainol , Nor Shahida Azali","doi":"10.1016/j.asej.2025.103855","DOIUrl":"10.1016/j.asej.2025.103855","url":null,"abstract":"<div><div>This study examines sustainable urban brownfield redevelopment through the Quintuple Helix Model, encompassing universities, government, industry, civil society, and the environment. A structured survey of 436 respondents across five districts in Chengdu, China, was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results indicate that universities (β = 0.320), government (β = 0.291), and industry (β = 0.308) exert the strongest direct influences on redevelopment outcomes, while civil society (β = 0.089) and environmental factors (β = 0.108) provide smaller but significant contributions. The model also shows high predictive relevance, confirming its robustness in explaining sustainable redevelopment. These findings highlight the central roles of universities, government, and industry as primary drivers of sustainable redevelopment, while civil society and environmental factors act as supportive contributors. The study contributes empirical evidence from China to enrich the Quintuple Helix literature and offers actionable recommendations for planners and policymakers, including strengthening governance platforms, fostering university–industry collaboration, and aligning industrial incentives with ecological goals.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 1","pages":"Article 103855"},"PeriodicalIF":5.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520642","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}

引用次数: 0

Performance analysis of 765 kV, 500 kV and 220 kV NTDC-14 bus transmission network via optimal integration of UPFC 基于UPFC优化集成的765kv、500kv和220kv NTDC-14母线传输网性能分析

IF 5.9 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal

Pub Date : 2026-01-01 Epub Date: 2025-11-19 DOI: 10.1016/j.asej.2025.103863

Muhammad Shaoor Shafique , Asad Waqar , Saeed Mian Qaisar , Muhammad Junaid , Muhammad Zahid , Abdulaziz T. Almaktoom

This study introduces a novel use of a modified Sea Horse Optimizer (mSHO) to determine the optimal locations and sizing for Unified Power Flow Controllers (UPFC) in the real-time multi-voltage transmission network. The suggested approach combines the simultaneous minimization of total Active Power Loss (APL), total Reactive Power Loss (RPL), and average voltage

V_{a v g}

in the form of a Multi-Objective Index (MOI). The approach is validated on Pakistan’s NTDC 14-bus 765/500/220 kV transmission network and IEEE 14 and 30-bus test systems. Simulations are performed after a comparison of operation with and without UPFCs. Results show that mSHO reduced APL and RPL by up to 61 % in the NTDC system, while significantly improving the average voltage to 1.0180 which is well within permissible limits. Notable performance improvements were also observed in IEEE 14 and 30 test bus systems.

本研究介绍了一种改进的海马优化器（mSHO）的新用途，用于确定实时多电压输电网络中统一潮流控制器（UPFC）的最佳位置和大小。建议的方法以多目标指数（MOI）的形式结合了总有功功率损耗（APL），总无功功率损耗（RPL）和平均电压Vavg的同时最小化。该方法在巴基斯坦NTDC 14总线765/500/220千伏输电网络和IEEE 14和30总线测试系统上进行了验证。仿真是在有upfc和没有upfc的情况下进行的。结果表明，mSHO使NTDC系统的APL和RPL降低了61%，同时显著提高了平均电压至1.0180，完全在允许范围内。在IEEE 14和30测试总线系统中也观察到显著的性能改进。

引用次数: 0

SailMutLoc: a sailfish-mutation enhanced optimization algorithm for student performance prediction SailMutLoc：用于学生成绩预测的旗鱼突变增强优化算法

IF 5.9 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal

Pub Date : 2026-01-01 Epub Date: 2025-12-05 DOI: 10.1016/j.asej.2025.103898

Ashjan Hamad Alsabhan , Saleem Malik , S. Gopal Krishna Patro , Chandrakanta Mahanty , Ahmed Adnan Hadi , Mohamed Ghouse , Akila Thiyagarajan , Mohit Mittal , Mohammad Khishe

Feature selection enables educational data mining provide personalised support and enhance student performance. When using high-dimensional educational datasets, traditional feature selection techniques have premature convergence and inadequate feature sets. Inefficient feature selection occurs when these algorithms don’t balance exploration and exploiting. We propose the SailMutLoc algorithm, an integrated optimization method based on sailfish behaviour and enhanced by mutation operators and local search, to address these issues. SailMutLoc combines the Sailfish Algorithm (SFA)’s global search with the SCM’s fine-tuning precision and mutation-driven exploration. Iterative Local Search (ILS) increases local optimization results. SailMutLoc explores feature space without local optimum solutions since mutation makes things unpredictable. In studies using real-world educational datasets, SailMutLoc outperformed standard approaches in classification accuracy, computing time, and feature quality. In educational data mining, SailMutLoc can handle vast feature spaces and improve student performance forecasts.

特征选择使教育数据挖掘能够提供个性化支持并提高学生的表现。在使用高维教育数据集时，传统的特征选择技术存在过早收敛和特征集不足的问题。当这些算法没有平衡探索和利用时，就会出现低效的特征选择。为了解决这些问题，我们提出了SailMutLoc算法，这是一种基于旗鱼行为并通过突变算子和局部搜索增强的集成优化方法。SailMutLoc将Sailfish算法（SFA）的全局搜索与SCM的微调精度和突变驱动探索相结合。迭代局部搜索（ILS）提高了局部优化结果。SailMutLoc在没有局部最优解的情况下探索特征空间，因为突变使事情变得不可预测。在使用真实世界教育数据集的研究中，SailMutLoc在分类精度、计算时间和特征质量方面优于标准方法。在教育数据挖掘中，SailMutLoc可以处理大量的特征空间，并改善学生的表现预测。

{"title":"SailMutLoc: a sailfish-mutation enhanced optimization algorithm for student performance prediction","authors":"Ashjan Hamad Alsabhan , Saleem Malik , S. Gopal Krishna Patro , Chandrakanta Mahanty , Ahmed Adnan Hadi , Mohamed Ghouse , Akila Thiyagarajan , Mohit Mittal , Mohammad Khishe","doi":"10.1016/j.asej.2025.103898","DOIUrl":"10.1016/j.asej.2025.103898","url":null,"abstract":"<div><div>Feature selection enables educational data mining provide personalised support and enhance student performance. When using high-dimensional educational datasets, traditional feature selection techniques have premature convergence and inadequate feature sets. Inefficient feature selection occurs when these algorithms don’t balance exploration and exploiting. We propose the SailMutLoc algorithm, an integrated optimization method based on sailfish behaviour and enhanced by mutation operators and local search, to address these issues. SailMutLoc combines the Sailfish Algorithm (SFA)’s global search with the SCM’s fine-tuning precision and mutation-driven exploration. Iterative Local Search (ILS) increases local optimization results. SailMutLoc explores feature space without local optimum solutions since mutation makes things unpredictable. In studies using real-world educational datasets, SailMutLoc outperformed standard approaches in classification accuracy, computing time, and feature quality. In educational data mining, SailMutLoc can handle vast feature spaces and improve student performance forecasts.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 1","pages":"Article 103898"},"PeriodicalIF":5.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684330","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}

引用次数: 0

Nonlinear integral sliding mode control of SPMSMs using a dual-layer adaptive super-twisting algorithm 基于双层自适应超扭转算法的spmsm非线性积分滑模控制

IF 5.9 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal

Pub Date : 2026-01-01 Epub Date: 2025-12-31 DOI: 10.1016/j.asej.2025.103948

Mingyuan Hu , Lei Zhang , Ran Tao , Ping Wang , Yaqing Gu , Zia Ullah

Surface-mounted permanent magnet synchronous motors (SPMSMs) require advanced speed regulation strategies due to their nonlinear dynamics and sensitivity to disturbances. Conventional integral sliding mode control (ISMC), when applied to these drives, faces critical drawbacks such as saturation effects caused by large initial speed errors and adaptive gain overestimation in super-twisting algorithms. To address these challenges, this paper proposes a nonlinear integral sliding mode control scheme enhanced with a dual-layer adaptive super-twisting algorithm (NISMC-DASTA). A novel integral sliding surface with a dynamic anti-saturation gain mechanism is introduced to accelerate error convergence, enhance disturbance rejection, and mitigate integrator windup. Additionally, a dual-layer adaptive mechanism is embedded within the super-twisting controller to adjust its gains dynamically. This two-tier adaptation not only suppresses chattering but also alleviates the trade-off between rapid convergence and excessive gain amplification commonly observed in single-layer adaptive STA approaches. Extensive simulations and experimental results on a practical SPMSM drive platform validate the superior performance and robustness of the proposed NISMC-DASTA method.

由于表面贴装永磁同步电动机的非线性动力学和对扰动的敏感性，需要采用先进的调速策略。传统的积分滑模控制（ISMC）在应用于这些驱动时，面临着初始速度误差大导致的饱和效应和超扭转算法中的自适应增益高估等严重缺陷。为了解决这些问题，本文提出了一种基于双层自适应超扭转算法（NISMC-DASTA）的非线性积分滑模控制方案。引入了一种新的具有动态抗饱和增益机制的积分滑动面，以加速误差收敛，增强抗干扰性，减轻积分器的上卷。此外，在超扭控制器中嵌入双层自适应机构，对其增益进行动态调整。这种两层自适应不仅抑制了抖振，而且减轻了在单层自适应STA方法中常见的快速收敛和过度增益放大之间的权衡。在SPMSM驱动平台上的大量仿真和实验结果验证了NISMC-DASTA方法的优越性能和鲁棒性。

{"title":"Nonlinear integral sliding mode control of SPMSMs using a dual-layer adaptive super-twisting algorithm","authors":"Mingyuan Hu , Lei Zhang , Ran Tao , Ping Wang , Yaqing Gu , Zia Ullah","doi":"10.1016/j.asej.2025.103948","DOIUrl":"10.1016/j.asej.2025.103948","url":null,"abstract":"<div><div>Surface-mounted permanent magnet synchronous motors (SPMSMs) require advanced speed regulation strategies due to their nonlinear dynamics and sensitivity to disturbances. Conventional integral sliding mode control (ISMC), when applied to these drives, faces critical drawbacks such as saturation effects caused by large initial speed errors and adaptive gain overestimation in super-twisting algorithms. To address these challenges, this paper proposes a nonlinear integral sliding mode control scheme enhanced with a dual-layer adaptive super-twisting algorithm (NISMC-DASTA). A novel integral sliding surface with a dynamic anti-saturation gain mechanism is introduced to accelerate error convergence, enhance disturbance rejection, and mitigate integrator windup. Additionally, a dual-layer adaptive mechanism is embedded within the super-twisting controller to adjust its gains dynamically. This two-tier adaptation not only suppresses chattering but also alleviates the trade-off between rapid convergence and excessive gain amplification commonly observed in single-layer adaptive STA approaches. Extensive simulations and experimental results on a practical SPMSM drive platform validate the superior performance and robustness of the proposed NISMC-DASTA method.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 1","pages":"Article 103948"},"PeriodicalIF":5.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883550","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}

引用次数: 0

LeafDeSNet: A MultiClass plant leaf diseases classification model with entropy-controlled GLEO for feature selection LeafDeSNet：基于熵控GLEO特征选择的多类植物叶片病害分类模型

IF 5.9 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Ain Shams Engineering Journal

Pub Date : 2026-01-01 Epub Date: 2025-12-10 DOI: 10.1016/j.asej.2025.103887

Anas Alsuhaibani , Tallha Akram , Adeel Akram

Plant diseases pose a significant risk to global nutrition and can have a severe impact on small-scale farmers who rely on their crops for survival. Early and accurate detection of plant diseases is essential, yet traditional identification methods are often time-intensive and prone to human error. The development of Computer-Aided Diagnostic (CAD) systems facilitates the early detection of plant diseases for both farmers and experts. These sets of intelligent systems utilize machine learning and computer vision-based techniques to identify and categorize leaf diseases accurately. Such automated approaches not only save time and reduce labor costs but also minimize crop losses by optimizing the yield. This article presents a comprehensive framework for leaf disease classification of three main crops, beginning with image acquisition, proceeding to feature extraction and selection, and concluding with classification. The existence of redundant and irrelevant feature information leads to the problem of “curse of dimensionality”. To address this challenge, a bio-inspired optimization approach, known as the Entropy-Controlled Generalized Learning Equilibrium Optimizer (E-CGLEO), is proposed. Unlike the standard GLEO, we used the entropy-based technique to select more diverse features. The conventional GLEO had various constraints that are effectively addressed by our proposed approach: (1) minimal diversity, (2) selection of redundant feature information, and (3) selection based on structural contribution, leading to overfitting. The proposed feature selection framework successfully addresses the identified problems by modifying the objective function and equilibrium condition, while also updating velocity and position, thereby enhancing performance in terms of accuracy, precision, sensitivity, and F1-score.

植物病害对全球营养构成重大风险，并可能对依靠作物生存的小农产生严重影响。植物病害的早期和准确检测至关重要，但传统的识别方法往往耗时且容易出现人为错误。计算机辅助诊断（CAD）系统的发展有助于农民和专家及早发现植物病害。这些智能系统利用机器学习和基于计算机视觉的技术来准确地识别和分类叶片疾病。这种自动化方法不仅节省了时间，降低了劳动力成本，而且通过优化产量，最大限度地减少了作物损失。本文提出了三种主要作物叶片病害分类的综合框架，从图像采集开始，到特征提取和选择，最后到分类。冗余和不相关特征信息的存在导致了“维数诅咒”问题。为了解决这一挑战，提出了一种生物启发的优化方法，称为熵控制广义学习平衡优化器（E-CGLEO）。与标准的GLEO不同，我们使用基于熵的技术来选择更多样化的特征。我们提出的方法有效地解决了传统GLEO存在的各种约束：(1)最小多样性；(2)冗余特征信息的选择；(3)基于结构贡献的选择，导致过拟合。所提出的特征选择框架通过修改目标函数和平衡条件，同时更新速度和位置，成功地解决了识别出的问题，从而提高了准确性、精密度、灵敏度和f1分数。

{"title":"LeafDeSNet: A MultiClass plant leaf diseases classification model with entropy-controlled GLEO for feature selection","authors":"Anas Alsuhaibani , Tallha Akram , Adeel Akram","doi":"10.1016/j.asej.2025.103887","DOIUrl":"10.1016/j.asej.2025.103887","url":null,"abstract":"<div><div>Plant diseases pose a significant risk to global nutrition and can have a severe impact on small-scale farmers who rely on their crops for survival. Early and accurate detection of plant diseases is essential, yet traditional identification methods are often time-intensive and prone to human error. The development of Computer-Aided Diagnostic (CAD) systems facilitates the early detection of plant diseases for both farmers and experts. These sets of intelligent systems utilize machine learning and computer vision-based techniques to identify and categorize leaf diseases accurately. Such automated approaches not only save time and reduce labor costs but also minimize crop losses by optimizing the yield. This article presents a comprehensive framework for leaf disease classification of three main crops, beginning with image acquisition, proceeding to feature extraction and selection, and concluding with classification. The existence of redundant and irrelevant feature information leads to the problem of “<em>curse of dimensionality</em>”. To address this challenge, a bio-inspired optimization approach, known as the Entropy-Controlled Generalized Learning Equilibrium Optimizer (E-CGLEO), is proposed. Unlike the standard GLEO, we used the entropy-based technique to select more diverse features. The conventional GLEO had various constraints that are effectively addressed by our proposed approach: (1) minimal diversity, (2) selection of redundant feature information, and (3) selection based on structural contribution, leading to overfitting. The proposed feature selection framework successfully addresses the identified problems by modifying the objective function and equilibrium condition, while also updating velocity and position, thereby enhancing performance in terms of accuracy, precision, sensitivity, and F1-score.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 1","pages":"Article 103887"},"PeriodicalIF":5.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736125","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}

引用次数: 0