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2D MXene nanomaterials as catalysts and burn rate modifiers in an energetic propellant system 二维MXene纳米材料在高能推进剂体系中作为催化剂和燃烧速率改进剂
IF 5.45 Q1 Physics and Astronomy Pub Date : 2026-01-22 DOI: 10.1016/j.nanoso.2026.101618
Bhavana V P, Balasubramanian Kandasubramanian
Composite solid propellants (CSPs), composed of fuel binder, metal powder, oxidizer, and functional additives, are indispensable to modern rocketry because of their high energy density, processability, and proven reliability. Their macroscopic performance, however, is governed by microscopic chemistry: catalyst identity, binder and oxidizer interactions, thermal decomposition behaviour, and microstructural design. This review synthesizes recent advances in two-dimensional MXene oxide and carbide hybrids (e.g., TiC2, V2C combined with V2O5, TiO2, NiO, MgCo2O4) as catalytic burn rate modifiers for AP (Ammonium perchlorate) based CSPs. MXenes furnish conductive, defect-rich frameworks that supply redox active centers and oxygen vacancies; when synergized with transition metal oxides, they markedly accelerate AP decomposition (reported HTD(high thermal decomposition) reductions from 471.2 °C to ∼208 °C for MgCo2O4 MXene composites) and lower activation energies (up to ∼59.7 % reduction). At propellant scale, these hybrids increase specific thrust (reported gains of about +15 s), enhance burning rates (examples up to +202 % or about 70–80 % for certain MXV formulations), and shorten ignition delays (reported reductions of about 30–80 %). Rational morphological engineering, including layered, mesoporous, and flower-like architectures, optimizes surface area, mass diffusion, and electron and heat transport, improving catalytic accessibility and thermal propagation. Compared with conventional oxide catalysts, MXene-based composites combine electrical conductivity, redox flexibility, and structural tunability, yielding multifunctional catalysts that both accelerate kinetics and enable tunable, cleaner combustion. The review concludes that MXene oxide hybrids represent a promising materials pathway for next-generation, higher-performance, and more controllable solid propellant formulations.
复合固体推进剂(CSPs)由燃料粘合剂、金属粉末、氧化剂和功能性添加剂组成,由于其高能量密度、可加工性和可靠性而成为现代火箭不可缺少的推进剂。然而,它们的宏观性能是由微观化学控制的:催化剂特性、粘合剂和氧化剂的相互作用、热分解行为和微观结构设计。本文综述了二维MXene氧化物和碳化物杂化物(如TiC2、V2C与V2O5、TiO2、NiO、MgCo2O4)作为AP(高氯酸铵)基csp的催化燃烧速率改性剂的最新进展。MXenes提供导电的、富含缺陷的框架,提供氧化还原活性中心和氧空位;当与过渡金属氧化物协同作用时,它们显著加速了AP分解(据报道,MgCo2O4 MXene复合材料的HTD(高热分解)从471.2℃降低到~ 208℃),降低了活化能(降低了~ 59.7%)。在推进剂规模上,这些混合动力增加了比推力(据报道增加了约15秒),提高了燃烧速度(例如高达+ 202%或某些MXV配方约70 - 80%),并缩短了点火延迟(据报道减少了约30 - 80%)。合理的形态工程,包括层状、介孔和花状结构,优化了表面面积、质量扩散、电子和热传递,提高了催化可及性和热传播。与传统的氧化物催化剂相比,mxeni基复合材料结合了导电性、氧化还原灵活性和结构可调性,产生了多功能催化剂,既能加速动力学,又能实现可调的、更清洁的燃烧。综述得出结论,MXene氧化物混合物代表了下一代、高性能和更可控的固体推进剂配方的有前途的材料途径。
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引用次数: 0
Developments in microfluidics-enabled stimuli-responsive chitosan micro/nanoparticles for precision drug and biomolecule delivery 微流体驱动刺激响应壳聚糖微/纳米颗粒用于精确药物和生物分子递送的研究进展
IF 5.45 Q1 Physics and Astronomy Pub Date : 2026-01-19 DOI: 10.1016/j.nanoso.2025.101599
Ghobad Shafiei Sabet , Aliakbar Ebrahimiverkiani , Mehdi Rahmanian , Seyed Morteza Naghib , Navid Rabiee
Microfluidics technology, a burgeoning field capitalizing on the unique properties of fluids at micro and nanoliter scales, has emerged as a powerful tool. Its promise lies in reducing costs and time, and its applications span across biology, medicine, chemistry, engineering, and materials science. Among these domains, microfluidics has taken center stage in shaping the landscape of drug administration regulation, captivating the attention of researchers. Advancements in scientific knowledge have paved the way for remarkable improvements in drug delivery systems, enhancing the efficacy of treatments. However, the choice of materials remains pivotal. Polysaccharides like chitosan, alginate, hyaluronic acid, and agarose have emerged as prime candidates for drug delivery systems. They possess attributes such as abundance in nature, high biocompatibility, affordability, and ease of modification, making them highly attractive to researchers. Chitosan exhibited promising properties as a carrier agent in drug delivery and it is one of the polymers with cationic properties, making it unique among other polymers. This cationic character based on primary amino groups is responsible for its various properties and subsequent use in drug delivery systems. This article focuses on chitosan among these polysaccharides. This comprehensive review explores the diverse applications of microfluidics-assisted drug delivery systems using chitosan micro/nano particles for precision drug release. The primary objective is to provide an in-depth examination of recent research breakthroughs in the field, particularly emphasizing the design and development of high-performance delivery systems employing microfluidics-based stimuli-responsive chitosan.
微流体技术是一个新兴的领域,它利用了微和纳升尺度上流体的独特性质,已经成为一种强大的工具。它的前景在于降低成本和时间,它的应用横跨生物、医学、化学、工程和材料科学。在这些领域中,微流控技术在塑造药物管理监管格局方面占据了中心地位,吸引了研究人员的注意。科学知识的进步为药物输送系统的显著改进铺平了道路,增强了治疗的疗效。然而,材料的选择仍然是关键。壳聚糖、海藻酸盐、透明质酸和琼脂糖等多糖已成为药物输送系统的主要候选物质。它们具有丰富的性质、高生物相容性、可负担性和易于修饰等特性,使它们对研究人员具有很高的吸引力。壳聚糖作为一种具有阳离子性质的高分子材料,在药物传递中具有良好的应用前景。这种基于初级氨基的阳离子特征是其各种特性和随后在药物输送系统中的应用的原因。本文重点介绍了壳聚糖。本文综述了壳聚糖微纳米颗粒在微流体辅助药物释放系统中的应用。主要目的是深入研究该领域的最新研究突破,特别强调采用微流控刺激响应壳聚糖的高性能输送系统的设计和开发。
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引用次数: 0
Surface plasmon resonance and optical enhancement field properties of single and dimers gold nanoparticles in the proximity a graphene structure 单、二聚金纳米粒子在石墨烯结构附近的表面等离子体共振和光学增强场特性
IF 5.45 Q1 Physics and Astronomy Pub Date : 2026-01-15 DOI: 10.1016/j.nanoso.2026.101617
E. Farkouch , A. Akouibaa , R. Masrour , M. Benhamou , A. El Assyry
The integration of gold nanoparticles (AuNPs) with graphene (Gr) enables the development of hybrid materials with remarkable properties, offering new prospects for innovative applications across various scientific and technological fields. However, ongoing research still aims to optimize fabrication processes, stability, and performance of these plasmonic composites. A major challenge lies in understanding the influence of interactions between graphene and AuNPs on surface plasmon resonance (SPR). In this work, we investigate, using the finite element method (FEM), the plasmonic and electronic properties of AuNP–Gr hybrid structures under different configurations. The intrinsic anisotropy of graphene’s two-dimensional structure allows for several geometries to be considered, including: an AuNP in the vicinity of a Gr sheet, an AuNP confined between two Gr sheets, a core–shell structure, and two coupled AuNPs near Gr sheets. For all these configurations, the SPR characteristics and near-field enhancement capabilities under electromagnetic excitation are analyzed and optimized. The results demonstrate great flexibility in controlling the plasmonic response of AuNP–Gr nanostructures. In particular, the spectral position of the SPR peak can be tuned by modifying the geometric configuration, while the amplitude of near-field enhancement is strongly influenced by the electromagnetic environment induced by Gr, promoting field confinement at the metal-Gr interfaces. Moreover, the orientation of the system relative to the direction and polarization of the incident field plays a decisive role in the excitation of plasmonic modes. These findings highlight the potential of AuNP–Gr nanohybrids for applications in plasmonic sensing, nanophotonics, and nonlinear optics.
金纳米颗粒(AuNPs)与石墨烯(Gr)的结合,使得具有卓越性能的混合材料得以发展,为各种科技领域的创新应用提供了新的前景。然而,正在进行的研究仍然旨在优化这些等离子体复合材料的制造工艺、稳定性和性能。一个主要的挑战在于理解石墨烯和AuNPs之间的相互作用对表面等离子体共振(SPR)的影响。本文采用有限元方法研究了不同构型下AuNP-Gr杂化结构的等离子体和电子特性。石墨烯二维结构的固有各向异性允许考虑几种几何形状,包括:在Gr片附近的AuNP,被限制在两个Gr片之间的AuNP,核-壳结构,以及在Gr片附近的两个耦合AuNP。针对这三种构型,分析并优化了电磁激励下的SPR特性和近场增强能力。结果表明,在控制AuNP-Gr纳米结构的等离子体响应方面具有很大的灵活性。特别是,SPR峰的光谱位置可以通过改变几何构型来调整,而近场增强的幅度受Gr诱导的电磁环境的强烈影响,促进了金属-Gr界面处的场约束。此外,系统的取向相对于入射场的方向和偏振对等离子体模式的激发起决定性作用。这些发现突出了AuNP-Gr纳米杂化材料在等离子体传感、纳米光子学和非线性光学方面的应用潜力。
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引用次数: 0
Biogenic synthesis of Fe-Doped ZnO nanoplates for rapid photodegradation of chloramphenicol: Crystallographic, optical, and magnetic insights from experimental and computational studies 用于氯霉素快速光降解的fe掺杂ZnO纳米板的生物合成:来自实验和计算研究的晶体学、光学和磁性见解
IF 5.45 Q1 Physics and Astronomy Pub Date : 2026-01-12 DOI: 10.1016/j.nanoso.2026.101616
Anik Molla , Hajara Akhter , Durjoy Datta Mazumdar , Sondip Ghosh , M. Humayan Kabir , Hasan Muhommod Robin , Mirza Samnar Walid , SK Fahim Tahmid Boni , Abdullah Al Mubin , Ridoy Khan , Chowdhury Sadid Alam , M.A. Islam
Herein, we report the biogenic fabrication of Fe0.03Zn0.97O (C-FZN) nanoplates using Citrus reticulata peel extract as a bio-reducing and stabilizing agent, offering an environmentally benign substitute for traditional techniques. To explore the effect of calcination temperature, a systematic optimization (400–600 °C) was conducted to modulate phase purity, crystallinity, and structural attributes. X-ray diffraction analysis along with multi-model crystallite size calculation methods including Halder–Wagner model (H-W), Size–Strain Plot (SSP), and Sahadat–Scherrer (S-S) model-identified 500 °C as the optimal condition, yielding phase-pure wurtzite ZnO with (101) orientation, exhibiting crystallite sizes ranging from 17 to 21 nm. FESEM micrographs revealed the formation of well-defined nanoplates with an average lateral size of 88 nm and an average thickness of ∼18 nm. In addition, TEM analysis also revealed the irregular platelike morphology of C-FZN, with noticeable porosity. FTIR analysis confirmed the presence of different functional groups, while UV–vis spectroscopy indicated band gap narrowing (∼3.17 eV). Complementary DFT+U calculations predicted a further reduced band gap (∼2.2 eV) and the emergence of spin-polarized impurity states induced by Fe doping. Magnetic characterization revealed weak room-temperature ferromagnetism. Theoretical magnetic moments (∼3.64 μB) reinforced the intrinsic origin of ferromagnetism arising from Fe 3d states substituting Zn sites. The biogenic C-FZN exhibited an outstanding photocatalytic efficiency while degrading 84.23 % of chloramphenicol within 90 min. It further demonstrated remarkable reusability potential while retaining 80.96 % efficiency even after three consecutive cycles. Collectively, this study establishes a sustainable synthesis strategy for crystallographically engineered magnetic Fe-doped ZnO nanoplates, highlighting their promise as recyclable photocatalysts for mitigating antibiotic contamination in wastewater.
本文报道了以柑橘皮提取物为生物还原和稳定剂制备Fe0.03Zn0.97O (C-FZN)纳米板的方法,为传统工艺提供了一种环保的替代品。为了探究煅烧温度的影响,我们对煅烧温度进行了系统优化(400-600℃),以调节相纯度、结晶度和结构属性。x射线衍射分析以及包括Halder-Wagner模型(H-W)、尺寸-应变图(SSP)和Sahadat-Scherrer (S-S)模型在内的多模型晶粒尺寸计算方法确定,500℃为最佳条件,得到(101)取向的相纯细锌矿ZnO,晶粒尺寸在17 ~ 21 nm之间。FESEM显微照片显示形成了定义明确的纳米板,平均横向尺寸为88 nm,平均厚度为~ 18 nm。此外,TEM分析还发现C-FZN呈不规则片状,孔隙率明显。FTIR分析证实了不同官能团的存在,而UV-vis光谱显示带隙缩小(~ 3.17 eV)。互补DFT+U计算预测了带隙进一步减小(~ 2.2 eV),并出现了由Fe掺杂引起的自旋极化杂质态。磁性表征显示弱室温铁磁性。理论磁矩(~ 3.64 μB)强化了铁三维态取代锌位所产生的铁磁性的内在来源。生物源C-FZN表现出优异的光催化效率,在90 min内对氯霉素的降解率为84.23% %。它进一步显示了显著的可重用性潜力,即使在连续三次循环后仍保持80.96 %的效率。总的来说,本研究建立了一种可持续的晶体工程铁掺杂ZnO纳米板合成策略,突出了它们作为可回收光催化剂减轻废水中抗生素污染的前景。
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引用次数: 0
Numerical modeling and simulation of nanofluid performance in a 3-D stretching sheet 三维拉伸片纳米流体性能的数值模拟与仿真
IF 5.45 Q1 Physics and Astronomy Pub Date : 2026-01-09 DOI: 10.1016/j.nanoso.2026.101613
M. Gnaneswara Reddy
Examining the significance of magnetic dipole effects with heat source/sink, when a spinning hybrid nanofluid is present across a three-dimensional stretching surface is the aim of the current work. Also, the non- linear thermal radiation with conjugative heat flux is incorporated. Boundary is made stronger using velocity slip and melting. Here, titanium dioxide and silicon dioxide nanoparticles are blended with water as a base fluid. Transformation of similarities are utilised for changing the primary controlling PDEs into non-linear ODEs. The approximate integration of the flow work is obtained using MATLAB's built-in numerical approach, bvp-5c. Numerous physical flow characteristics are examined both numerically and graphically.fη decreases for higher values of λ,γ1 and A for both scenarios. The momentum boundary layer falls for βfor both cases.
当旋转的混合纳米流体在三维拉伸表面存在时,研究热源/汇磁偶极子效应的意义是当前工作的目的。同时,引入了具有共轭热流密度的非线性热辐射。速度滑移和熔融作用使边界更加坚固。在这里,二氧化钛和二氧化硅纳米颗粒与水混合作为基液。利用相似性变换将主控制偏微分方程转化为非线性偏微分方程。利用MATLAB自带的数值方法bvp-5c求得了流功的近似积分。许多物理流动特性进行了数值和图形检验。λ、γ1和A越高,f ' η越小。两种情况下动量边界层都落在β上。
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引用次数: 0
Sustainable valorization, synthesis, and characterization of nanocellulose from industrial waste abaca fibers (iWAFs) 工业废槟榔纤维纳米纤维素的可持续增值、合成和表征
IF 5.45 Q1 Physics and Astronomy Pub Date : 2026-01-08 DOI: 10.1016/j.nanoso.2026.101612
Rodolfo E. Cuadra II , Mylene M. Uy , Mark Ian Aseniero
Industrial Waste Abaca Fibers (iWAFs), a prevalent lignocellulosic residue from the Philippines' abaca processing industry, represent a significant environmental burden. This study addresses the critical need for waste valorization by developing an optimized, sustainability-oriented protocol to convert iWAFs into high-value nanocellulose (NC). The methodology employed sequential alkali and bleaching pre-treatments, which yielded high-purity cellulose pulp (84.50 % yield), followed by systematic optimization of acid hydrolysis. The most favorable among the tested extraction conditions was determined to be 58 wt% H2SO4 concentration for 30 min (T1), achieving a 52.8 % residue yield and a mixed nanocellulosic morphology structure. Fourier-Transform Infrared Spectroscopy (FTIR) confirmed high chemical purity and preservation of the Cellulose I structure. Scanning Electron Microscopy (SEM) and Atomic Force Microscopy (AFM) further verified the nanoscale dimensions (15–30 nm in width) and the co-existence of both CNF-like and CNC-like features. These findings validate a reproducible and sustainable pathway for converting abaca waste into a highly crystalline, functional nanomaterial, positioning this mixed nanocellulosic morphology as a promising, eco-friendly reinforcement agent for advanced biocomposites and functional films within the circular bioeconomy.
工业废弃Abaca纤维(iwaf)是菲律宾Abaca加工业中普遍存在的木质纤维素残留物,是一个重大的环境负担。本研究通过开发一种优化的、以可持续性为导向的方案,将iwaf转化为高价值纳米纤维素(NC),解决了废物增值的关键需求。该方法采用碱法和漂白法进行预处理,得到高纯度纤维素浆(收率为84.50 %),然后对酸水解进行系统优化。结果表明,最佳萃取条件为:H2SO4浓度为58 wt%,萃取时间为30 min (T1),可获得52.8% %的提取率和混合纳米纤维素形态结构。傅里叶变换红外光谱(FTIR)证实了纤维素I的高化学纯度和保存结构。扫描电镜(SEM)和原子力显微镜(AFM)进一步验证了纳米尺度(宽度为15-30 nm)和CNF-like和CNC-like特征共存。这些发现验证了一种可重复和可持续的途径,可以将abaca废物转化为高度结晶的功能纳米材料,将这种混合纳米纤维素形态定位为循环生物经济中先进生物复合材料和功能薄膜的有前途的环保增强剂。
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引用次数: 0
Next generation sustainable nanostructures for energy, sensing, and bio-integration 用于能源、传感和生物集成的下一代可持续纳米结构
IF 5.45 Q1 Physics and Astronomy Pub Date : 2026-01-07 DOI: 10.1016/j.nanoso.2026.101615
Karuna Korgaonkar , Nagarjuna Prakash Dalbanjan , Sahil Sharma , Ratan Jadhav , S.K. Praveenkumar , Saidi Reddy Parne
This review explores the structural and chemical foundations of sustainable nanostructured materials, emphasizing their molecular configurations that govern multifunctional performance in energy, sensing, and bio-integrative applications. The discussion integrates recent progress in controlled synthesis, doping strategies, and advanced characterization using spectroscopic and other techniques to reveal correlations between atomic-scale arrangements, electronic distribution, and surface reactivity. Structural tailoring enables optimization of charge transport, optical absorption, and catalytic activity, fundamental for efficient energy conversion processes, high-performance sensors, and stable bio-interfaces. Sustainable approaches, such as green synthesis and lifecycle assessments, are emphasized as critical to addressing environmental concerns. Ethical concerns about safety, equity, and accessibility are emphasized as critical to the responsible use of these materials. Adaptive materials, nano-bio hybrids, and AI-driven innovations are the main answers to the problems of scalability, environmental impact, and interdisciplinary integration. Overall, this review highlights the collaboration between chemistry, physics, and biology to enable nanostructured materials in addressing global concerns in healthcare, energy, and sustainability. Nanostructures can lead to previously unheard-of scientific and societal breakthroughs by fusing state-of-the-art research with morally and environmentally responsible methods.
这篇综述探讨了可持续纳米结构材料的结构和化学基础,强调了它们的分子构型在能源、传感和生物集成应用中的多功能性能。讨论整合了控制合成、掺杂策略和先进表征的最新进展,利用光谱和其他技术揭示原子尺度排列、电子分布和表面反应性之间的相关性。结构定制可以优化电荷传输、光学吸收和催化活性,这是高效能量转换过程、高性能传感器和稳定生物界面的基础。强调可持续的方法,如绿色综合和生命周期评价,是解决环境问题的关键。关于安全、公平和可及性的伦理关注被强调为负责任地使用这些材料的关键。自适应材料、纳米生物混合材料和人工智能驱动的创新是解决可扩展性、环境影响和跨学科整合问题的主要答案。总的来说,这篇综述强调了化学、物理和生物学之间的合作,使纳米结构材料能够解决全球关注的医疗保健、能源和可持续性问题。通过将最先进的研究与对道德和环境负责的方法相结合,纳米结构可以带来以前闻所未闻的科学和社会突破。
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引用次数: 0
Advancing heat transfer efficiency: Analysis of hybrid nanofluid flow over a rotating stretched sheet 推进传热效率:混合纳米流体在旋转拉伸片上流动的分析
IF 5.45 Q1 Physics and Astronomy Pub Date : 2026-01-07 DOI: 10.1016/j.nanoso.2026.101611
Mehak Bi Bi, Ahsan Ullah
This paper examines the flow characteristics and the thermal performance of hybrid nanofluids (copper and iron oxide nanoparticles dispersed in water) under the influence of magnetic fields and the effect of thermal radiation, and the three-dimensional magneto-hydrodynamic (MHD) Darcy-Forchheimer (D-F) flow past a rotating stretched sheet. The use of hybrid nanofluids is becoming popular because they possess higher thermal characteristics than conventional fluids. The primary objective is to determine the influence of different parameters, like the strength of the magnetic field, rotation, porosity, and inertial forces, on fluid velocities and temperature gradients in hybrid nanofluids. The flow is described by a mathematical model using partial differential equations (PDEs) and reduced, through similarity transformations, to ordinary differential equations (ODEs). The resulting system is numerically solved by the bvp4c method of MATLAB. The research shows five important findings: (1) Cu-Fe3O4/H2O hybrid nanofluid has 39.3 % and local Nusselt number of 4.20 and 5.65, respectively, at 0.3. (2) Strength of magnetic fields (M = 0.5 2.0) decreases the efficiency of heat transfer by 36 % due to Lorentz force-inhibited convection. (3) Rotation parameter (0–0.9) increases heat transfer by 33.6 % through secondary flow generated by Coriolis and better mixing. (4) Non-linear parameter interactions have a deviation of ±6–15 % of non-linear superposition: magnetic-rotation displays −12 % antagonistic interactions, and porosity-inertia displays + 15 % synergistic interactions. (5) Suction parameter (S=0.4–1.0) enhances the heat transfer by 50.2 % with thinning of the boundary layer. The validated engineering correlations (R2>0.96) can optimize the design quickly. The bvp4c adaptive method has a speedup of 66–314x, making it possible to do complete parametric studies (750 cases) in 11 min compared to 27 h using traditional methods. The results have important implications for electronics cooling, solar thermal systems, automotive engineering, and medical devices where heat management is essential.
本文研究了混合纳米流体(分散在水中的铜和铁纳米颗粒)在磁场和热辐射作用下的流动特性和热性能,以及旋转拉伸片的三维磁流体动力学(MHD)达西-福希海默(D-F)流动。混合纳米流体的使用正变得越来越流行,因为它们比传统流体具有更高的热特性。主要目的是确定不同参数,如磁场强度、旋转、孔隙度和惯性力,对混合纳米流体中流体速度和温度梯度的影响。用偏微分方程(PDEs)的数学模型描述该流,并通过相似变换简化为常微分方程(ode)。利用MATLAB的bvp4c方法对系统进行了数值求解。结果表明:(1)Cu-Fe3O4/H2O杂化纳米流体的黏度为39.3 %,局部努塞尔数分别为4.20和5.65,为0.3;(2)当磁场强度为M = 0.5 2.0时,由于洛伦兹力抑制对流,传热效率降低了36% %。(3)旋转参数(0-0.9)通过科里奥利产生的二次流和更好的混合使换热提高了33.6% %。(4)非线性参数相互作用的非线性叠加偏差为±6-15 %:磁-旋转相互作用为−12 %的拮抗相互作用,孔隙-惯性相互作用为+ 15 %的协同相互作用。(5)吸力参数(S=0.4 ~ 1.0)使边界层变薄,传热能力提高50.2% %。验证的工程相关系数(R2>0.96)可以快速优化设计。bvp4c自适应方法具有66-314x的加速,与使用传统方法27 h相比,可以在11 min内完成完整的参数研究(750例)。该结果对电子冷却、太阳能热系统、汽车工程和医疗设备等热管理必不可少的领域具有重要意义。
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引用次数: 0
Multiphase iron oxide submicrostructures derived from steel swarf: Synthesis and structural characterization 源自钢屑的多相氧化铁亚显微结构:合成和结构表征
IF 5.45 Q1 Physics and Astronomy Pub Date : 2026-01-06 DOI: 10.1016/j.nanoso.2025.101608
J. Muñoz-Calderon , Y.A. Erazo-Josa , D. Llamosa-Pérez , D.F. Coral
In this study, iron oxide submicroparticles were synthesized via an alkaline co-precipitation method using steel waste (swarf) as a source of Fe²⁺ and Fe³ ⁺ precursors, containing minor impurities such as minor impurities such as Mn, Cu and Cr, following a circular economy approach. These residues are typically generated during steel pickling and polishing processes and are commonly discarded in landfills despite their high Fe content (>60 wt%). Their recovery reduces environmental impact and supports waste valorization strategies. The as obtained particles were stabilized with citric acid or PEG-PPG-PEG surfactants and characterized using X-ray fluorescence (XRF), scanning electron microscopy (SEM), X-ray diffraction (XRD), and Raman spectroscopy. XRF confirmed iron as the predominant component, with minor traces of Mn and Cr. Rietveld refinement of XRD patterns revealed a multiphase composition dominated by magnetite (Fe₃O₄) and maghemite (γ-Fe₂O₃), with a minor fraction of hematite (α-Fe₂O₃). Raman spectra were acquired using a sing a 785 nm excitation laser, optimized to minimize thermal and fluorescence effects. Gaussian deconvolution of A₁g, T₂g, and Eg modes enabled clear discrimination among the iron oxide phases. This work supports the sustainable valorization and recycling of steel waste as a precursor for magnetic submicroparticles materials.
在本研究中,采用碱性共沉淀法,以钢铁废料(swarf)为Fe 2 +和Fe³ +前体物的来源,采用循环经济方法合成了氧化铁亚微粒,其中含有Mn、Cu和Cr等微量杂质。这些残留物通常是在钢酸洗和抛光过程中产生的,尽管它们的铁含量很高(>60 wt%),但通常被丢弃在垃圾填埋场。它们的回收减少了对环境的影响,并支持了废物增值战略。用柠檬酸或PEG-PPG-PEG表面活性剂稳定得到的颗粒,并用x射线荧光(XRF)、扫描电子显微镜(SEM)、x射线衍射(XRD)和拉曼光谱对其进行了表征。XRF证实了铁是主要成分,微量的Mn和Cr。XRD谱图的Rietveld细化显示了以磁铁矿(Fe₃O₄)和磁铁矿(γ-Fe₂O₃)为主的多相组成,少量的赤铁矿(α-Fe₂O₃)。使用785 nm激发激光器获得拉曼光谱,优化以最小化热效应和荧光效应。A₁g、T₂g和Eg模式的高斯反卷积使氧化铁相之间的区分清晰。这项工作支持钢铁废料的可持续增值和回收,作为磁性亚微粒材料的前体。
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引用次数: 0
High performance AI-machine learning enabled Levenberg–Marquardt algorithm for thermo-energy storage in tetra hybrid nanofluids 高性能人工智能-机器学习支持Levenberg-Marquardt算法,用于四混合纳米流体中的热能存储
IF 5.45 Q1 Physics and Astronomy Pub Date : 2026-01-06 DOI: 10.1016/j.nanoso.2025.101604
Deepika Khandelwal , Sumit Gupta , Chandra Prakash Jain , Pawan Kumar Jain
This study examines heat and mass transfer in a quad-3D hybrid nanofluid composed of SWCNT, MWCNT, Fe₃O₄, and C₂H₆O₂ dispersed in transformer oil over a nonlinear exponentially stretching sheet. Physical effects such as radiation, Brownian motion, thermophoresis, magnetic and electric fields, heterogeneous–homogeneous reactions, and convective boundary conditions are included. Using Lie group transformations, the governing PDEs are reduced to nonlinear ODEs and solved with MATLAB’s bvp4c. A smart-computing model based on an ANN-enabled Levenberg–Marquardt backpropagation deep feedforward algorithm (LMBPDFA) is developed using 312 data points to predict heat and mass transfer characteristics. The ANN shows high accuracy, with MSE values of 10⁻¹ ⁰–10⁻⁷ and absolute errors of 10⁻⁹–10⁻⁵ when compared to numerical solutions. Key physical parameters' effects on flow, temperature, and concentration profiles are analysed, along with variations in drag force, Nusselt number, and Sherwood number. Comparative results with existing literature confirm the model’s reliability. he numerical and ANN-based analyses demonstrate a significant enhancement in heat and mass transfer characteristics of the quad-3D hybrid nanofluid (SWCNT–MWCNT–Fe₃O₄–C₂H₆O₂/transformer oil). An increase in the solid volume fraction of nanoparticles from 0.5 % to 2 % enhances the effective thermal conductivity by approximately 28–42 %, leading to a corresponding increase in the local Nusselt number by 18–35 %. The presence of thermal radiation increases the temperature profile by nearly 15–22 %, while stronger magnetic field strength lessens fluid velocity by 20–30 % due to Lorentz force effects. Brownian motion and thermophoresis parameters jointly increase nanoparticle concentration by about 25–40 %, thereby raising the Sherwood number by 14–27 %. The skin friction coefficient increases by 10–18 % with stronger electric and magnetic fields. The ANN–LMBPDFA model achieves high predictive accuracy, with mean squared error (MSE) ranging from 10⁻¹ ⁰ to 10⁻⁷ and absolute errors between 10⁻⁹ and 10⁻⁵, confirming close agreement with bvp4c numerical solutions. Comparative validation with published studies shows deviations below 1–3 %, establishing the robustness and reliability of the proposed framework.
本研究考察了由SWCNT、MWCNT、Fe₃O₄和C₂H₆O₂组成的四维混合纳米流体在非线性指数拉伸片上分散在变压器油中的传热和传质。物理效应,如辐射,布朗运动,热泳,磁场和电场,非均质反应,和对流边界条件包括在内。利用李群变换,将控制偏微分方程简化为非线性偏微分方程,并用MATLAB的bvp4c进行求解。利用312个数据点,建立了基于人工神经网络的Levenberg-Marquardt反向传播深度前馈算法(LMBPDFA)的智能计算模型,用于预测传热传质特性。与数字解决方案相比,人工神经网络显示出很高的准确性,MSE值为10⁻¹ ⁰-10⁻⁷,绝对误差为10⁻⁹-10⁻5。分析了关键物理参数对流动、温度和浓度分布的影响,以及阻力、努塞尔数和舍伍德数的变化。与已有文献的对比结果证实了模型的可靠性。数值分析和基于神经网络的分析表明,四三维混合纳米流体(SWCNT-MWCNT-Fe₃O₄-C₂H₆O₂/变压器油)的传热传质特性显著增强。当纳米颗粒的固体体积分数从0.5 %增加到2 %时,有效导热系数提高了约28-42 %,导致局部努塞尔数相应增加18-35 %。热辐射的存在使温度剖面增加了近15 - 22% %,而较强的磁场强度由于洛伦兹力的影响使流体速度降低了20 - 30% %。布朗运动和热泳参数共同提高纳米颗粒浓度约25-40 %,从而使舍伍德数提高14-27 %。电场和磁场越强,表面摩擦系数提高10 - 18% %。ANN-LMBPDFA模型具有很高的预测精度,其均方误差(MSE)范围从10⁻¹ ⁰到10⁻⁷,绝对误差在10⁻⁹和10⁻之间,证实了与bvp4c数值解的密切一致。与已发表研究的比较验证显示偏差低于1-3 %,建立了所提出框架的稳健性和可靠性。
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Nano-Structures & Nano-Objects
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