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High resistance SO2 adsorbent of Fe-Ce-La oxides @ Si-Al carrier for arsenic capture from middle-low-temperature flue gas Fe-Ce-La氧化物@ Si-Al载体捕集中低温烟气中砷的高阻SO2吸附剂
Q3 Energy Pub Date : 2026-02-01 DOI: 10.1016/S1872-5813(25)60606-2
Hangyu WEN, Shuyang HOU, Kai WANG, Kaihua ZHANG, Kai ZHANG
It is crucial to develop arsenic removal adsorbents with strong sulfur resistance under middle-low-temperature flue gas conditions (<400 °C). In this work, five Fe-Ce-La oxides were prepared by co-precipitation method, and FeCeLaO/SiO2-Al2O3 composite adsorbents were prepared by coupling fly ash-based Si-Al carriers. The active components Fe-Ce-La oxides and Si-Al carriers were characterized by TPD, TG, XRF, BET and XPS, respectively. The effects of temperature, Si/Al ratio and FeCeLaO loading rate on the sulfur resistance were investigated. Results show that the SO2 promotes the arsenic removal of Fe2O3, CeLaO and FeCeLaO. At 400 °C, the arsenic removal efficiencies of the three oxides increase from 45.3%, 72.5% and 81.3% without SO2 to 62.6%, 80.5% and 91.0%, respectively. The SO2 inhibits the arsenic removal of La2O2CO3 and FeLaO, and the inhibition effect is pronounced at high temperatures. The sulfur poisoning resistance of Si-Al carriers increases with the increase of Si/Al ratio. When the Si/Al ratio is increased to 9.74, the arsenic removal efficiency in the SO2 environment is 13.9% higher than that in the absence of SO2. Introducing FeCeLaO active components is beneficial for enhancing the SO2 poisoning resistance of Si-Al carriers. The strong sulfur resistance of the FeCeLaO/SiO2-Al2O3 composite adsorbent results from multiple factors: protective effects of Ce on Fe, La and Al; sulfation-induced generation of Ce3+ and surface-adsorbed oxygen; and strong surface acidity of SiO2.
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开发中低温(400℃)烟气条件下抗硫性能强的除砷吸附剂至关重要。本文采用共沉淀法制备了5种Fe-Ce-La氧化物,并通过偶联粉煤灰基Si-Al载体制备了FeCeLaO/SiO2-Al2O3复合吸附剂。活性组分Fe-Ce-La氧化物和Si-Al载体分别用TPD、TG、XRF、BET和XPS表征。考察了温度、Si/Al比和FeCeLaO负荷率对耐硫性能的影响。结果表明,SO2对Fe2O3、CeLaO和FeCeLaO的除砷效果有促进作用。在400℃时,三种氧化物的除砷效率分别从无SO2时的45.3%、72.5%和81.3%提高到62.6%、80.5%和91.0%。SO2抑制了La2O2CO3和FeLaO的除砷,且在高温下抑制效果明显。硅铝载体的抗硫中毒性能随硅铝比的增大而增大。当硅铝比提高到9.74时,SO2环境下的砷去除效率比无SO2环境下的砷去除效率提高13.9%。引入FeCeLaO活性组分有利于提高硅铝载体的抗SO2中毒性能。FeCeLaO/SiO2-Al2O3复合吸附剂的强抗硫性能是多方面的:Ce对Fe、La和Al的保护作用;硫酸化诱导生成Ce3+和表面吸附氧;SiO2的表面酸性强。下载:下载高清图片(243KB)下载:下载全尺寸图片
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引用次数: 0
Study on the adsorptive denitrification performance of MIL-101(Cr) and its theoretical calculation MIL-101(Cr)吸附脱氮性能研究及理论计算
Q3 Energy Pub Date : 2026-02-01 DOI: 10.1016/S1872-5813(25)60605-0
Yue QIN, Ke TANG, Xin HONG, Han WANG, Shuo SHEN, Jinghui CHEN
The adsorptive denitrification performance of MIL-101(Cr)-0.5 toward pyridine, aniline or quinoline in simulated fuels with basic nitrogen content of 1732 μg/g was evaluated separately. Furthermore, the effects of adsorption temperature, adsorption time and adsorbent dosage on their adsorptive denitrification performance were systematically investigated. The experimental results demonstrated that under a fixed adsorbent dosage of 0.05 g and a simulated fuel volume of 10 mL, the optimal removal efficiency for aniline was achieved at 30 °C within 30 min, whereas higher temperatures and longer times (40 °C and 40 min) were required for effective removal of pyridine and quinoline. Density Functional Theory (DFT) calculations were conducted via Materials Studio (MS) software to study the adsorptive denitrification mechanism of MIL-101(Cr) toward these three basic nitrogen-containing compounds. The simulation calculation results revealed that the interaction between pyridine and MIL-101(Cr) primarily involved coordination adsorption. In contrast, the interaction between aniline or quinoline and MIL-101(Cr) proceeded mainly through coordination, with additional contributions from π-complexation and hydrogen bonding. The overall adsorption strength order is pyridine > aniline > quinoline. During the adsorption process, pyridine and quinoline transfer electrons to the MIL-101(Cr) surface through the H→C→N→Cr3+ pathway, while aniline transfers electrons to the MIL-101(Cr) surface through various pathways, including N→Cr3+, N→C→Cr3+ and N→H→O. Furthermore, adsorption kinetics studies indicated that the adsorption processes for all three basic nitrogen-containing compounds followed the quasi second order kinetic models. The experimental results on the effect of benzene on the adsorptive denitrification performance of MIL-101(Cr)-0.5 demonstrated that benzene exerted a more significant impact on the adsorption of aniline and quinoline. Finally, the adsorbent was regenerated using ethanol washing. It was found that MIL-101(Cr)-0.5 retained stable denitrification performance after two regeneration cycles.
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分别评价了MIL-101(Cr)-0.5在碱性氮含量为1732 μg/g的模拟燃料中对吡啶、苯胺和喹啉的吸附脱硝性能。系统考察了吸附温度、吸附时间和吸附剂用量对其吸附脱氮性能的影响。实验结果表明,在固定吸附剂用量为0.05 g、模拟燃料体积为10 mL的条件下,在30℃条件下对苯胺的脱除效果最佳,脱除时间为30 min,而吡啶和喹啉的脱除则需要更高的温度和更长的时间(40℃和40 min)。通过Materials Studio (MS)软件进行密度泛函理论(DFT)计算,研究MIL-101(Cr)对这三种碱性含氮化合物的吸附脱氮机理。模拟计算结果表明,吡啶与MIL-101(Cr)的相互作用主要以配位吸附为主。苯胺或喹啉与MIL-101(Cr)的相互作用主要通过配位进行,π络合和氢键也有作用。总体吸附强度顺序为吡啶类→苯胺类→喹啉类。在吸附过程中,吡啶和喹啉通过H→C→N→Cr3+途径将电子转移到MIL-101(Cr)表面,苯胺通过N→Cr3+、N→C→Cr3+和N→H→O等多种途径将电子转移到MIL-101(Cr)表面。吸附动力学研究表明,三种碱性含氮化合物的吸附过程均符合准二级动力学模型。苯对MIL-101(Cr)-0.5吸附脱氮性能影响的实验结果表明,苯对苯胺和喹啉的吸附影响更为显著。最后,采用乙醇洗涤法对吸附剂进行再生。结果表明,MIL-101(Cr)-0.5经过两次再生后仍能保持稳定的脱氮性能。下载:下载高清图片(128KB)下载:下载全尺寸图片
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引用次数: 0
Mechanism of microstructural evolution in coke during the co-pyrolysis of coking coal with organic additives 焦煤与有机添加剂共热解过程中焦炭微观结构演化机理
Q3 Energy Pub Date : 2026-02-01 DOI: 10.1016/S1872-5813(26)60634-2
Xinni ZHAO , Lu TIAN , Peng YU , Xiuli XU , Jinxiao DOU , Jianglong YU
To deepen understanding of the evolution of coal char microstructural properties of coal char during the co-pyrolysis of coking coal with additives, this study incorporated two typical additives, coal tar pitch (CTP) and waste plastic (HDPE), into a blended coal sample and carried out pyrolysis experiments. The pyrolysis process and the microstructure of char were systematically characterized using various analytical techniques, including thermogravimetric analysis (TGA), X-ray diffraction (XRD) and Raman spectroscopy. Data correlation analysis was performed to reveal the mechanism of carbon structural ordering evolution within the critical temperature range (350−600 °C) from colloidal layer formation to semi-coke conversion in coking coal, and to elucidate the regulatory effects of different additives on coal pyrolysis pathways. The results indicate that HDPE releases free radicals during high-temperature pyrolysis, accelerating the pyrolysis reaction and increase the yield of volatile components. Conversely, CTP facilitates pyrolysis at low temperatures through its light components, thereby delaying high-temperature reactions due to the colloidal layer's effect. XRD results indicate that during the process of pyrolysis, there is a progressive decrease in the interlayer spacing of aromatic layers (d002), while the aromatic ring stacking height (Lc) and lateral size (La) undergo significant of carbon skeleton ordering. Further comparative reveals that CTP partially suppresses structural ordering at low temperatures, whereas HDPE promotes the condensation and alignment of aromatic clusters via a free radical mechanism. Raman spectroscopy reveals a two-stage reorganization mechanism in the microstructure of the coal char: the decrease in the ID/IG ratio between 350 and 550 °C is primarily attributed to the cleavage of aliphatic side chains and cross-linking bonds, leading to a reduction in defective structures; whereas the increase in ID/IG between 550 and 600 °C is closely associated with enhanced condensation reactions of aromatic structures. Correlation analysis further demonstrates progressive graphitization during pyrolysis, with a significant positive correlation (R2 > 0.85) observed between d002 and the full width at half maximum of the G-band (FWHM-G).
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为深入了解焦煤与助剂共热解过程中煤焦微观结构性质的演变,本研究将两种典型助剂煤焦油沥青(CTP)和废塑料(HDPE)加入混煤样中进行热解实验。利用热重分析(TGA)、x射线衍射(XRD)和拉曼光谱等多种分析技术对焦炭的热解过程和微观结构进行了系统表征。通过数据相关性分析,揭示了焦煤从胶体层形成到半焦转化的临界温度范围(350 ~ 600℃)内碳结构有序演化的机理,阐明了不同添加剂对煤热解路径的调控作用。结果表明,HDPE在高温热解过程中释放自由基,加速热解反应,提高挥发性组分的产率。相反,CTP通过其轻组分有利于低温热解,从而由于胶体层的作用而延缓高温反应。XRD结果表明,在热解过程中,芳香层间距(d002)逐渐减小,芳香环的堆叠高度(Lc)和横向尺寸(La)发生了显著的碳骨架有序化。进一步比较发现,CTP在低温下部分抑制结构有序,而HDPE通过自由基机制促进芳香团簇的缩聚和排列。拉曼光谱揭示了煤焦微观结构的两阶段重组机制:在350 ~ 550℃之间,ID/IG比的降低主要是由于脂肪侧链和交联键的断裂,导致缺陷结构的减少;而在550 ~ 600℃之间,ID/IG的增加与芳香族结构的缩合反应增强密切相关。相关分析进一步表明,d002与g波段半最大值全宽度(FWHM-G)呈显著正相关(R2 > 0.85),表明热解过程中石墨化是渐进式的。下载:下载高分辨率图片(143KB)下载:下载全尺寸图片
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引用次数: 0
Structure-activity correlation mechanism of additive-modified Cu-based catalysts for methanol synthesis via CO2 hydrogenation 添加剂改性cu基催化剂CO2加氢合成甲醇的构效关系机理
Q3 Energy Pub Date : 2026-02-01 DOI: 10.1016/S1872-5813(26)60632-9
Wenbin HUANG , Meng SI , Zhen XU , Han YANG , Tianyu BAI , Yasong ZHOU , Qiang WEI
Aiming at the problems of insufficient activity and selectivity of Cu-based catalysts in CO2 hydrogenation to methanol, Al2O3, ZrO2 and CeO2 modified Cu-ZnO catalysts by the co-precipitation method were prepared, and the influence mechanism of additives on the structure-performance relationship of the catalysts was systematically explored. Through a variety of characterization methods such as XRD, N2 physical adsorption-desorption, TEM, H2-TPR, CO2-TPD and XPS, combined with catalytic performance evaluation experiments, the correlation between the microstructure of catalysts and the reaction performance of CO2 hydrogenation to methanol was analyzed in depth. The results show that metal additives significantly improve the performance of catalysts. After the introduction of additives, the specific surface area and pore volume of the catalysts increase, the grain size of Cu decreases, and its dispersion improves. The Ce-modified CZC catalyst exhibited the best performance, with the grain size of CuO as small as 11.41 nm, and the surface oxygen vacancy concentration (OII/OI = 3.15) was significantly higher than that of other samples. The reaction performance test shows that under the conditions of 2.8 MPa, 8000 h−1 and 280 °C, the CO2 conversion of the CZC catalyst reached 18.83%, the methanol selectivity was 68.40%, and the methanol yield was 12.88%, all of which are superior to other catalysts. Its excellent performance can be attributed to the fact that CeO2 enhances the metal-support interaction, increases the surface basicity, promotes the adsorption and activation of CO2, and simultaneously inhibits the reverse water-gas shift side reaction. This study clarifies the structure-activity regulation mechanism of additive modification on Cu-ZnO catalysts, providing a theoretical basis and technical reference for the development of efficient catalysts for CO2 hydrogenation to methanol.
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针对cu基催化剂在CO2加氢制甲醇过程中活性和选择性不足的问题,采用共沉淀法制备了Al2O3、ZrO2和CeO2改性Cu-ZnO催化剂,并系统探讨了添加剂对催化剂结构性能关系的影响机理。通过XRD、N2物理吸附-解吸、TEM、H2-TPR、CO2- tpd、XPS等多种表征方法,结合催化性能评价实验,深入分析了催化剂的微观结构与CO2加氢制甲醇反应性能的相关性。结果表明,金属添加剂能显著提高催化剂的性能。添加剂加入后,催化剂的比表面积和孔体积增大,Cu晶粒尺寸减小,分散性改善。ce修饰的CZC催化剂表现出最好的性能,CuO晶粒尺寸小至11.41 nm,表面氧空位浓度(OII/OI = 3.15)明显高于其他样品。反应性能测试表明,在2.8 MPa、8000 h−1、280℃条件下,CZC催化剂的CO2转化率达到18.83%,甲醇选择性为68.40%,甲醇收率为12.88%,均优于其他催化剂。其优异的性能可归因于CeO2增强了金属-载体相互作用,增加了表面碱度,促进了CO2的吸附和活化,同时抑制了逆水气移位副反应。本研究阐明了添加剂改性Cu-ZnO催化剂的构效调控机理,为开发高效的CO2加氢制甲醇催化剂提供了理论依据和技术参考。下载:下载高清图片(139KB)下载:下载全尺寸图片
{"title":"Structure-activity correlation mechanism of additive-modified Cu-based catalysts for methanol synthesis via CO2 hydrogenation","authors":"Wenbin HUANG ,&nbsp;Meng SI ,&nbsp;Zhen XU ,&nbsp;Han YANG ,&nbsp;Tianyu BAI ,&nbsp;Yasong ZHOU ,&nbsp;Qiang WEI","doi":"10.1016/S1872-5813(26)60632-9","DOIUrl":"10.1016/S1872-5813(26)60632-9","url":null,"abstract":"<div><div>Aiming at the problems of insufficient activity and selectivity of Cu-based catalysts in CO<sub>2</sub> hydrogenation to methanol, Al<sub>2</sub>O<sub>3</sub>, ZrO<sub>2</sub> and CeO<sub>2</sub> modified Cu-ZnO catalysts by the co-precipitation method were prepared, and the influence mechanism of additives on the structure-performance relationship of the catalysts was systematically explored. Through a variety of characterization methods such as XRD, N<sub>2</sub> physical adsorption-desorption, TEM, H<sub>2</sub>-TPR, CO<sub>2</sub>-TPD and XPS, combined with catalytic performance evaluation experiments, the correlation between the microstructure of catalysts and the reaction performance of CO<sub>2</sub> hydrogenation to methanol was analyzed in depth. The results show that metal additives significantly improve the performance of catalysts. After the introduction of additives, the specific surface area and pore volume of the catalysts increase, the grain size of Cu decreases, and its dispersion improves. The Ce-modified CZC catalyst exhibited the best performance, with the grain size of CuO as small as 11.41 nm, and the surface oxygen vacancy concentration (O<sub>II</sub>/O<sub>I</sub> = 3.15) was significantly higher than that of other samples. The reaction performance test shows that under the conditions of 2.8 MPa, 8000 h<sup>−1</sup> and 280 °C, the CO<sub>2</sub> conversion of the CZC catalyst reached 18.83%, the methanol selectivity was 68.40%, and the methanol yield was 12.88%, all of which are superior to other catalysts. Its excellent performance can be attributed to the fact that CeO<sub>2</sub> enhances the metal-support interaction, increases the surface basicity, promotes the adsorption and activation of CO<sub>2</sub>, and simultaneously inhibits the reverse water-gas shift side reaction. This study clarifies the structure-activity regulation mechanism of additive modification on Cu-ZnO catalysts, providing a theoretical basis and technical reference for the development of efficient catalysts for CO<sub>2</sub> hydrogenation to methanol.\u0000\t\t\t\t<span><figure><span><img><ol><li><span><span>Download: <span>Download high-res image (139KB)</span></span></span></li><li><span><span>Download: <span>Download full-size image</span></span></span></li></ol></span></figure></span></div></div>","PeriodicalId":15956,"journal":{"name":"燃料化学学报","volume":"54 2","pages":"Article 20250188"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep reinforcement learning-based adaptive collision avoidance method for UAV in joint operational airspace 基于深度强化学习的联合作战空域无人机自适应避碰方法
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 DOI: 10.1016/j.dt.2025.08.011
Yan Shen , Xuejun Zhang , Yan Li , Weidong Zhang
As joint operations have become a key trend in modern military development, unmanned aerial vehicles (UAVs) play an increasingly important role in enhancing the intelligence and responsiveness of combat systems. However, the heterogeneity of aircraft, partial observability, and dynamic uncertainty in operational airspace pose significant challenges to autonomous collision avoidance using traditional methods. To address these issues, this paper proposes an adaptive collision avoidance approach for UAVs based on deep reinforcement learning. First, a unified uncertainty model incorporating dynamic wind fields is constructed to capture the complexity of joint operational environments. Then, to effectively handle the heterogeneity between manned and unmanned aircraft and the limitations of dynamic observations, a sector-based partial observation mechanism is designed. A Dynamic Threat Prioritization Assessment algorithm is also proposed to evaluate potential collision threats from multiple dimensions, including time to closest approach, minimum separation distance, and aircraft type. Furthermore, a Hierarchical Prioritized Experience Replay (HPER) mechanism is introduced, which classifies experience samples into high, medium, and low priority levels to preferentially sample critical experiences, thereby improving learning efficiency and accelerating policy convergence. Simulation results show that the proposed HPER-D3QN algorithm outperforms existing methods in terms of learning speed, environmental adaptability, and robustness, significantly enhancing collision avoidance performance and convergence rate. Finally, transfer experiments on a high-fidelity battlefield airspace simulation platform validate the proposed method's deployment potential and practical applicability in complex, real-world joint operational scenarios.
联合作战已成为现代军事发展的重要趋势,无人机在提高作战系统的智能化和响应能力方面发挥着越来越重要的作用。然而,飞机的异质性、部分可观测性和作战空域的动态不确定性给传统的自动避碰方法带来了重大挑战。为了解决这些问题,本文提出了一种基于深度强化学习的无人机自适应避碰方法。首先,建立了包含动态风场的统一不确定性模型,以捕捉联合作战环境的复杂性。然后,为有效处理有人驾驶和无人驾驶飞机之间的异质性和动态观测的局限性,设计了基于扇区的局部观测机制。提出了一种动态威胁优先级评估算法,从最接近时间、最小分离距离和飞机类型等多个维度评估潜在的碰撞威胁。引入层次优先体验重放(HPER)机制,将经验样本分为高、中、低三个优先级,对关键经验进行优先采样,提高学习效率,加速策略收敛。仿真结果表明,本文提出的HPER-D3QN算法在学习速度、环境适应性和鲁棒性方面均优于现有算法,显著提高了避撞性能和收敛速度。最后,在高保真战场空域仿真平台上进行了转移实验,验证了该方法在复杂的真实联合作战场景中的部署潜力和实际适用性。
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引用次数: 0
Study on the nonlinear vibration of tri-directional functionally graded sandwich plates partially supported by Pasternak foundation subjected to blast loading 爆破荷载作用下帕斯捷尔纳克地基部分支承的三向功能梯度夹层板非线性振动研究
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 DOI: 10.1016/j.dt.2025.08.012
Trung Thanh Tran, Huyen Thi Huong Truong, Pham Binh Le
This paper aims to explore and quantify the nonlinear vibration response of tri-directional functionally graded sandwich (3D-FGSW) plates partially supported by a Pasternak foundation (PF) subjected to blast loading (BL). A key objective is to develop a computationally efficient finite element framework capable of accurately capturing the complex behavior of 3D-FGSW plates. The studied configuration features a two-dimensional functionally graded material (2D-FGM) core between two three-dimensional functionally graded material (3D-FGM) face layers. Nonlinear geometric effects, including mid-plane stretching, are modeled using von Kármán-type assumptions, and the governing equations are formulated via Hamilton's principle within an improved first-order shear deformation theory (iFSDT). The accuracy and computational efficiency of the proposed method are validated through comparison with existing benchmark solutions. Subsequently, a comprehensive parametric study is carried out to examine the effects of geometric dimensions, material properties, foundation sizes, and boundary conditions (BCs) on the nonlinear vibration of 3D-FGSW plates. The findings of this work are expected to provide valuable insights for the design and manufacturing of advanced sandwich structures subjected to BL.
本文旨在探讨和量化由部分帕斯捷尔纳克基础(PF)支撑的三维功能梯度夹层板(3D-FGSW)在爆炸荷载(BL)作用下的非线性振动响应。关键目标是开发一种计算效率高的有限元框架,能够准确捕获3D-FGSW板的复杂行为。所研究的结构特征是在两个三维功能梯度材料(3D-FGM)面层之间有一个二维功能梯度材料(2D-FGM)芯。非线性几何效应,包括平面中间拉伸,使用von Kármán-type假设进行建模,并通过改进的一阶剪切变形理论(iFSDT)中的汉密尔顿原理制定控制方程。通过与已有基准解的比较,验证了所提方法的准确性和计算效率。随后,进行了全面的参数研究,以检查几何尺寸,材料特性,基础尺寸和边界条件(bc)对3D-FGSW板的非线性振动的影响。这项工作的发现有望为受BL的先进夹层结构的设计和制造提供有价值的见解。
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引用次数: 0
Design and experimental verification of a large-scale coupled morphing-wing mechanism for hypersonic vehicles 高超声速飞行器大型变形翼耦合机构设计与实验验证
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 DOI: 10.1016/j.dt.2025.10.031
Yanbing Wang , Honghao Yue , Xueting Pan , Jun Wu , Fei Yang , Yong Zhao , Xue Bai , Jicheng Liu
Hypersonic morphing vehicle (HMV) can reconfigure aerodynamic geometries in real time, adapting to diverse needs like multi-mission profiles and wide-speed-range flight, spanwise morphing and sweep angle variation are representative large-scale wing reconfiguration modes. To meet the HMV's need for an increased lift and a lift to drag ratio during hypersonic maneuverability and cruise or reentry equilibrium glide, this paper proposes an innovative single-DOF coupled morphing-wing system. We then systematically analyze its open-loop kinematics and closed-loop connectivity constraints, and the proposed system integrates three functional modules: the preset locking/release mechanism, the coupled morphing-wing mechanism, and the integrated wing locking with active stiffness control mechanism. Experimental validation confirms stable, continuous morphing under simulated aerodynamic loads. The experimental results indicate: (i) SMA actuators exhibit response times ranging from 18 s to 160 s, providing sufficient force output for wing unlocking; (ii) The integrated wing locking with active stiffness control mechanism effectively secures wing positions while eliminating airframe clearance via SMA actuation, improving the first-order natural frequency by more than 17%; (iii) The distributed aerodynamic loading system enables precise multi-stage follow-up loading during morphing, with the coupled morphing wing maintaining stable, continuous operation under 0–3500 N normal loads and 110–140 N axial force. The proposed single-DOF coupled morphing mechanism not only simplifies and improves structural efficiency but also demonstrates superior performance in locking control, stiffness enhancement, and aerodynamic responsiveness. This establishes a foundational framework for the design of future intelligent morphing configurations and the implementation of flight control systems.
高超声速变形飞行器(HMV)能够实时重构气动几何形状,适应多任务剖面和大航速范围飞行等多种需求,展向变形和后掠角变化是典型的大规模机翼重构模式。为了满足HMV在高超声速机动和巡航或再入平衡滑翔过程中对升力和升阻比的要求,本文提出了一种创新的单自由度耦合变形翼系统。在此基础上,系统分析了该系统的开环运动学约束和闭环连接约束,并将该系统集成了三个功能模块:预设锁定/释放机构、变形-机翼耦合机构和机翼锁定与主动刚度控制集成机构。实验验证证实了在模拟气动载荷下的稳定、连续变形。实验结果表明:(1)SMA致动器的响应时间为18 ~ 160 s,为机翼解锁提供了足够的力输出;(ii)带有主动刚度控制机构的一体化机翼锁定有效地保证了机翼位置,同时通过SMA驱动消除了机身间隙,一阶固有频率提高了17%以上;(iii)分布式气动加载系统可实现变形过程中精确的多级后续加载,耦合变形翼在0-3500 N法向载荷和110-140 N轴向力下保持稳定连续运行。所提出的单自由度耦合变形机构不仅简化了结构,提高了结构效率,而且在锁紧控制、刚度增强和气动响应性方面表现出优异的性能。这为未来智能变形构型的设计和飞行控制系统的实现奠定了基础框架。
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引用次数: 0
Impact of CeO2 and GO on the combustion performance of HAN-based electrically controlled solid propellant CeO2和GO对汉基电控固体推进剂燃烧性能的影响
IF 5.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2026-02-01 DOI: 10.1016/j.dt.2025.09.008
Lian Li , Lirong Bao , Zhiwen Wang , Feng Li , Lai Jiang , Chuntian Li , Zhidong Wang , Yinghua Ye , Ruiqi Shen , Luigi De Luca , Wei Zhang
Electrically controlled solid propellant (ECSP) offers multiple ignition and adjustable burning rate, serving as fuel for next-generation intelligent propulsion systems. To further enhance the combustion performance of ECSP, a method utilizing electrochemical and thermal decomposition catalysts has been proposed. In this work, we investigated the combustion characteristics of hydroxylamine nitrate (HAN)-based ECSP incorporating cerium oxide (CeO2) and graphene oxide (GO) by using an electrically controlled combustion test system. Electrochemical impedance spectroscopy (EIS) and linear sweep voltammetry (LSV) were used to measure the electrical conductibility and overpotential of ECSP with various additives, and Tafel curves were calculated. Thermogravimetric analysis coupled with differential scanning calorimetry (TG-DSC) was employed to investigate the thermal decomposition behavior of ECSP. While the addition of CeO2 and GO reduced the conductivity of ECSP, both catalysts exhibited strong electrocatalytic properties and facilitated the thermal decomposition of ECSP. Between two catalysts, GO demonstrated superior electrochemical catalytic performance but weaker thermal decomposition catalytic ability than CeO2. The addition of catalysts significantly enhanced the combustion performance of HAN-based ECSP. Specifically, the ignition delay time was shortened by 10%∼20%. CeO2 raised the burning rate by approximately 20% but GO exhibited a remarkable boost of 40% in burning rate at high voltage. The combination of GO and PVA produced a flame-retardant substance that negatively impacted the ignition delay of ECSP and resulted in a smaller increase in the burning rate of ECSP at low ignition voltages.
电控固体推进剂(ECSP)提供多重点火和可调燃烧速率,可作为下一代智能推进系统的燃料。为了进一步提高ECSP的燃烧性能,提出了一种利用电化学和热分解催化剂的方法。在这项工作中,我们通过电控燃烧测试系统研究了含有氧化铈(CeO2)和氧化石墨烯(GO)的硝酸羟胺(HAN)基ECSP的燃烧特性。采用电化学阻抗谱(EIS)和线性扫描伏安法(LSV)测定了不同添加剂下ECSP的电导率和过电位,并计算了Tafel曲线。采用热重联用差示扫描量热法(TG-DSC)研究了ECSP的热分解行为。CeO2和GO的加入降低了ECSP的电导率,但两种催化剂均表现出较强的电催化性能,有利于ECSP的热分解。在两种催化剂之间,GO的电化学催化性能优于CeO2,但热分解催化能力弱于CeO2。催化剂的加入显著提高了汉基ECSP的燃烧性能。具体来说,点火延迟时间缩短了10% ~ 20%。CeO2使燃烧速率提高了约20%,而GO在高压下的燃烧速率提高了40%。氧化石墨烯和聚乙烯醇的结合产生了一种阻燃物质,对ECSP的点火延迟产生了负面影响,在低点火电压下,ECSP的燃烧速率增加幅度较小。
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引用次数: 0
Insights and analysis of machine learning for benzene hydrogenation to cyclohexene 苯加氢制环己烯的机器学习的见解和分析
Q3 Energy Pub Date : 2026-02-01 DOI: 10.1016/S1872-5813(25)60608-6
Chao SUN , Bin ZHANG
Cyclohexene is an important raw material in the production of nylon. Selective hydrogenation of benzene is a key method for preparing cyclohexene. However, the Ru catalysts used in current industrial processes still face challenges, including high metal usage, high process costs, and low cyclohexene yield. This study utilizes existing literature data combined with machine learning methods to analyze the factors influencing benzene conversion, cyclohexene selectivity, and yield in the benzene hydrogenation to cyclohexene reaction. It constructs predictive models based on XGBoost and Random Forest algorithms. After analysis, it was found that reaction time, Ru content, and space velocity are key factors influencing cyclohexene yield, selectivity, and benzene conversion. Shapley Additive Explanations (SHAP) analysis and feature importance analysis further revealed the contribution of each variable to the reaction outcomes. Additionally, we randomly generated one million variable combinations using the Dirichlet distribution to attempt to predict high-yield catalyst formulations. This paper provides new insights into the application of machine learning in heterogeneous catalysis and offers some reference for further research.
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环己烯是生产尼龙的重要原料。苯的选择性加氢反应是制备环己烯的关键方法。然而,目前工业过程中使用的钌催化剂仍然面临着金属使用量大、工艺成本高、环己烯产率低等挑战。本研究利用已有文献资料,结合机器学习方法,分析了苯加氢制环己烯反应中苯转化率、环己烯选择性和产率的影响因素。基于XGBoost和Random Forest算法构建预测模型。经分析发现,反应时间、Ru含量和空速是影响环己烯收率、选择性和苯转化率的关键因素。Shapley加性解释(SHAP)分析和特征重要性分析进一步揭示了各变量对反应结果的贡献。此外,我们使用狄利克雷分布随机生成了一百万个变量组合,试图预测高产率的催化剂配方。本文为机器学习在多相催化中的应用提供了新的见解,并为进一步的研究提供了一些参考。下载:下载高清图片(92KB)下载:下载全尺寸图片
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引用次数: 0
Research progress on chemical synthesis of biomass-based hydrocarbon fuels 生物质基烃类燃料化学合成研究进展
Q3 Energy Pub Date : 2026-02-01 DOI: 10.1016/S1872-5813(25)60614-1
Pengjun WU, Xinyang CHEN, Yitong DAI, Jingke FENG, Wenjun FANG, Yongsheng GUO
Biomass-based hydrocarbon fuels, as one of the alternatives to traditional fossil fuels, have attracted considerable attention in the energy field due to their renewability and environmental benefits. This article provides a systematic review of recent research progress in the chemical synthesis of biomass-based hydrocarbon fuels. It outlines the conversion pathways using feedstocks such as lipids, terpenoids, cellulose/hemicellulose, and lignin. Depending on the feedstock, various products with distinct structural characteristics can be prepared through reactions such as cyclization, condensation, and catalytic hydrogenation. Throughout the synthesis process, three key factors play a critical role: efficient catalyst development, production process optimization, and computational-chemistry-based molecular design. Finally, the article discusses future perspectives for biomass-based hydrocarbon fuel synthesis research.
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生物质基碳氢燃料作为传统化石燃料的替代品之一,因其可再生和环境效益而受到能源领域的广泛关注。本文系统地综述了近年来生物质基烃类燃料化学合成的研究进展。它概述了使用原料如脂类、萜类、纤维素/半纤维素和木质素的转化途径。根据原料的不同,可以通过环化、缩合和催化加氢等反应制备具有不同结构特征的各种产品。在整个合成过程中,三个关键因素起着至关重要的作用:高效的催化剂开发、生产工艺优化和基于计算化学的分子设计。最后,对生物质基烃类燃料合成的研究前景进行了展望。下载:下载高分辨率图片(65KB)下载:下载全尺寸图片
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引用次数: 0
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