Pub Date : 2026-02-01DOI: 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.
{"title":"High resistance SO2 adsorbent of Fe-Ce-La oxides @ Si-Al carrier for arsenic capture from middle-low-temperature flue gas","authors":"Hangyu WEN, Shuyang HOU, Kai WANG, Kaihua ZHANG, Kai ZHANG","doi":"10.1016/S1872-5813(25)60606-2","DOIUrl":"10.1016/S1872-5813(25)60606-2","url":null,"abstract":"<div><div>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/SiO<sub>2</sub>-Al<sub>2</sub>O<sub>3</sub> 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 SO<sub>2</sub> promotes the arsenic removal of Fe<sub>2</sub>O<sub>3</sub>, CeLaO and FeCeLaO. At 400 °C, the arsenic removal efficiencies of the three oxides increase from 45.3%, 72.5% and 81.3% without SO<sub>2</sub> to 62.6%, 80.5% and 91.0%, respectively. The SO<sub>2</sub> inhibits the arsenic removal of La<sub>2</sub>O<sub>2</sub>CO<sub>3</sub> 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 SO<sub>2</sub> environment is 13.9% higher than that in the absence of SO<sub>2</sub>. Introducing FeCeLaO active components is beneficial for enhancing the SO<sub>2</sub> poisoning resistance of Si-Al carriers. The strong sulfur resistance of the FeCeLaO/SiO<sub>2</sub>-Al<sub>2</sub>O<sub>3</sub> composite adsorbent results from multiple factors: protective effects of Ce on Fe, La and Al; sulfation-induced generation of Ce<sup>3+</sup> and surface-adsorbed oxygen; and strong surface acidity of SiO<sub>2</sub>.\u0000\t\t\t\t<span><figure><span><img><ol><li><span><span>Download: <span>Download high-res image (243KB)</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 20250144"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172827","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}
Pub Date : 2026-02-01DOI: 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
{"title":"Study on the adsorptive denitrification performance of MIL-101(Cr) and its theoretical calculation","authors":"Yue QIN, Ke TANG, Xin HONG, Han WANG, Shuo SHEN, Jinghui CHEN","doi":"10.1016/S1872-5813(25)60605-0","DOIUrl":"10.1016/S1872-5813(25)60605-0","url":null,"abstract":"<div><div>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→Cr<sup>3+</sup> pathway, while aniline transfers electrons to the MIL-101(Cr) surface through various pathways, including N→Cr<sup>3+</sup>, N→C→Cr<sup>3+</sup> 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.\u0000\t\t\t\t<span><figure><span><img><ol><li><span><span>Download: <span>Download high-res image (128KB)</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 20250172"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172828","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}
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).
{"title":"Mechanism of microstructural evolution in coke during the co-pyrolysis of coking coal with organic additives","authors":"Xinni ZHAO , Lu TIAN , Peng YU , Xiuli XU , Jinxiao DOU , Jianglong YU","doi":"10.1016/S1872-5813(26)60634-2","DOIUrl":"10.1016/S1872-5813(26)60634-2","url":null,"abstract":"<div><div>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 (<em>d</em><sub>002</sub>), while the aromatic ring stacking height (<em>L</em><sub>c</sub>) and lateral size (<em>L</em><sub>a</sub>) 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 <em>I</em><sub>D</sub><em>/I</em><sub>G</sub> 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 <em>I</em><sub>D</sub><em>/I</em><sub>G</sub> 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 (<em>R</em><sup>2</sup> > 0.85) observed between <em>d</em><sub>002</sub> and the full width at half maximum of the G-band (FWHM-G).\u0000\t\t\t\t<span><figure><span><img><ol><li><span><span>Download: <span>Download high-res image (143KB)</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 20250185"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172907","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}
Pub Date : 2026-02-01DOI: 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.
{"title":"Structure-activity correlation mechanism of additive-modified Cu-based catalysts for methanol synthesis via CO2 hydrogenation","authors":"Wenbin HUANG , Meng SI , Zhen XU , Han YANG , Tianyu BAI , Yasong ZHOU , 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}
Pub Date : 2026-02-01DOI: 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.
{"title":"Deep reinforcement learning-based adaptive collision avoidance method for UAV in joint operational airspace","authors":"Yan Shen , Xuejun Zhang , Yan Li , Weidong Zhang","doi":"10.1016/j.dt.2025.08.011","DOIUrl":"10.1016/j.dt.2025.08.011","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":58209,"journal":{"name":"Defence Technology(防务技术)","volume":"56 ","pages":"Pages 142-159"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116693","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}
Pub Date : 2026-02-01DOI: 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.
{"title":"Study on the nonlinear vibration of tri-directional functionally graded sandwich plates partially supported by Pasternak foundation subjected to blast loading","authors":"Trung Thanh Tran, Huyen Thi Huong Truong, Pham Binh Le","doi":"10.1016/j.dt.2025.08.012","DOIUrl":"10.1016/j.dt.2025.08.012","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":58209,"journal":{"name":"Defence Technology(防务技术)","volume":"56 ","pages":"Pages 96-109"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116691","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}
Pub Date : 2026-02-01DOI: 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.
{"title":"Design and experimental verification of a large-scale coupled morphing-wing mechanism for hypersonic vehicles","authors":"Yanbing Wang , Honghao Yue , Xueting Pan , Jun Wu , Fei Yang , Yong Zhao , Xue Bai , Jicheng Liu","doi":"10.1016/j.dt.2025.10.031","DOIUrl":"10.1016/j.dt.2025.10.031","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":58209,"journal":{"name":"Defence Technology(防务技术)","volume":"56 ","pages":"Pages 125-141"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116694","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}
Pub Date : 2026-02-01DOI: 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.
{"title":"Impact of CeO2 and GO on the combustion performance of HAN-based electrically controlled solid propellant","authors":"Lian Li , Lirong Bao , Zhiwen Wang , Feng Li , Lai Jiang , Chuntian Li , Zhidong Wang , Yinghua Ye , Ruiqi Shen , Luigi De Luca , Wei Zhang","doi":"10.1016/j.dt.2025.09.008","DOIUrl":"10.1016/j.dt.2025.09.008","url":null,"abstract":"<div><div>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 (CeO<sub>2</sub>) 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 CeO<sub>2</sub> 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 CeO<sub>2</sub>. The addition of catalysts significantly enhanced the combustion performance of HAN-based ECSP. Specifically, the ignition delay time was shortened by 10%∼20%. CeO<sub>2</sub> 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.</div></div>","PeriodicalId":58209,"journal":{"name":"Defence Technology(防务技术)","volume":"56 ","pages":"Pages 160-171"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116736","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}
Pub Date : 2026-02-01DOI: 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.
{"title":"Insights and analysis of machine learning for benzene hydrogenation to cyclohexene","authors":"Chao SUN , Bin ZHANG","doi":"10.1016/S1872-5813(25)60608-6","DOIUrl":"10.1016/S1872-5813(25)60608-6","url":null,"abstract":"<div><div>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.\u0000\t\t\t\t<span><figure><span><img><ol><li><span><span>Download: <span>Download high-res image (92KB)</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 20250212"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172830","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}
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.
{"title":"Research progress on chemical synthesis of biomass-based hydrocarbon fuels","authors":"Pengjun WU, Xinyang CHEN, Yitong DAI, Jingke FENG, Wenjun FANG, Yongsheng GUO","doi":"10.1016/S1872-5813(25)60614-1","DOIUrl":"10.1016/S1872-5813(25)60614-1","url":null,"abstract":"<div><div>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.\u0000\t\t\t\t<span><figure><span><img><ol><li><span><span>Download: <span>Download high-res image (65KB)</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 2025175"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172908","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}