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Experimental study on effects of gas flow rate on soot characteristics in diffusion flames coupled with plasma

Science China(Technological Sciences) 2024年第2期67卷 475-485页

作者： QI DanDan CHEN MingXiao tu xin LIU Dong MIIT Key Laboratory of Thermal Control of Electronic Equipment School of Energy and Power EngineeringNanjing University of Science and TechnologyNanjing 210094China Advanced Combustion Laboratory School of Energy and Power EngineeringNanjing University of Science and TechnologyNanjing 210094China Department of Electrical Engineering and Electronics University of LiverpoolLiverpool L693GJUK

This study examined the evolution of morphology and nanostructure of soot particles from the plasma-flame interaction for various gas flow *** current study used both optical diagnostic and sampling methods to explore the soot production and combustion *** particles were characterized at the same positions downstream from the flame zone by thermophoretic sampling and transmission electron ***,X-ray diffraction analysis,and thermogravimetric analysis were performed to study the nanostructure and oxidation reactivity of soot.A reduction in soot concentration was found with the plasma addition,which illustrated an inhibition effect of plasma on soot *** increased gas flow rate promoted soot concentration since a growing number of carbons participated in the combustion *** on the gas flow rate(carbon content)variation and plasma activation,either liquid-like soot material with irregularly shaped protrusions or chain-like structure,or a mixture of both,were generated from the diffusion *** soot produced by plasma-flame interaction also demonstrated a high correlation between nanostructure and *** soot from lower carbon content with plasma activation had a shorter fringe length and larger fringe tortuosity related to higher oxidation *** the contrary,soot from the highest carbon content without plasma-flame interaction exhibited prevalent fullerene-like nanostructures with evident large or small shells and also had a higher carbonization degree resulting in lower oxidation reactivity.

关键词： soot characteristics gas flow rate plasma diffusion flames

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Machine learning-driven optimization of plasma-catalytic dry reforming of methane

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Journal of Energy Chemistry 2024年第9期96卷 153-163页

作者： Yuxiang Cai Danhua Mei Yanzhen Chen Annemie Bogaerts xin tu Department of Electrical Engineering and Electronics University of LiverpoolLiverpool L693GJUK Research Group PLASMANT Department of ChemistryUniversity of AntwerpUniversiteitsplein 1BE-2610 Wilrijk-AntwerpBelgium College of Electrical Engineering and Control Science Nanjing Tech UniversityNanjing 211816JiangsuChina

This study investigates the dry reformation of methane(DRM)over Ni/Al_(2)O_(3)catalysts in a dielectric barrier discharge(DBD)non-thermal plasma reactor.A novel hybrid machine learning(ML)model is developed to optimize the plasma-catalytic DRM reaction with limited experimental *** address the non-linear and complex nature of the plasma-catalytic DRM process,the hybrid ML model integrates three well-established algorithms:regression trees,support vector regression,and artificial neural networks.A genetic algorithm(GA)is then used to optimize the hyperparameters of each algorithm within the hybrid ML *** ML model achieved excellent agreement with the experimental data,demonstrating its efficacy in accurately predicting and optimizing the DRM *** model was subsequently used to investigate the impact of various operating parameters on the plasma-catalytic DRM *** found that the optimal discharge power(20 W),CO_(2)/CH_(4)molar ratio(1.5),and Ni loading(7.8 wt%)resulted in the maximum energy yield at a total flow rate of∼51 mL/***,we investigated the relative significance of each operating parameter on the performance of the plasma-catalytic DRM *** results show that the total flow rate had the greatest influence on the conversion,with a significance exceeding 35%for each output,while the Ni loading had the least impact on the overall reaction *** hybrid model demonstrates a remarkable ability to extract valuable insights from limited datasets,enabling the development and optimization of more efficient and selective plasma-catalytic chemical processes.

关键词： Plasma catalysis Machine learning Process optimization Dry reforming of methane Syngas production

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Influence of temperature, stress, and grain size on behavior of nano-polycrystalline niobium

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Chinese Physics B 2024年第7期33卷 467-474页

作者：晏玉平张柳亭张丽攀芦刚涂志新 School of Acronautical Manufacturing Engineering Nanchang Hangkong UniversityNanchang 330063China

Atomic simulations are executed to investigate the creep responses of nano-polycrystalline(NC) niobium established by using the Voronoi algorithm. The effects of varying temperature, applied stress, and grain size(GS) on creep properties and mechanisms are investigated. Notably, the occurrence of tertiary creep is exclusively observed under conditions where the applied stress exceeds 4.5 GPa and the temperature is higher than 1100 K. This phenomenon can be attributed to the significant acceleration of grain boundary and lattice diffusion, driven by the elevated temperature and stress levels. It is found that the strain rate increases with both temperature and stress increasing. However, an interesting trend is observed in which the strain rate decreases as the grain size increases. The stress and temperature are crucial parameters governing the creep behavior. As these factors intensify, the creep mechanism undergoes a sequential transformation: initially from lattice diffusion under low stress and temperature conditions to a mixed mode combining grain boundaries(GBs) and lattice diffusion at moderate stress and mid temperature levels, and ultimately leading to the failure of power-law controlled creep behavior, inclusive of grain boundary recrystallization under high stress and temperature conditions. This comprehensive analysis provides in more detail an understanding of the intricate creep behavior of nano-polycrystalline niobium and its dependence on various physical parameters.

关键词： creep behavior molecular dynamics simulation activation energy stress exponent nano-polycrystalline niobium

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Cu-V双合金化3Mn钢的组织和力学性能

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金属学报 2024年第6期60卷 817-825页

作者：许仁杰屠鑫胡斌罗海文北京科技大学冶金与生态工程学院北京100083

研究了Cu-V双合金化的3Mn钢热轧板在550~650℃温轧和临界退火等制备工艺过程中(简称温轧退火样品)的组织演变与最终力学性能,并与热轧后在同样温度范围时效处理并临界退火的样品(简称热轧时效退火样品)进行对比。结果表明,温轧退火样品... 详细信息

研究了Cu-V双合金化的3Mn钢热轧板在550~650℃温轧和临界退火等制备工艺过程中(简称温轧退火样品)的组织演变与最终力学性能,并与热轧后在同样温度范围时效处理并临界退火的样品(简称热轧时效退火样品)进行对比。结果表明,温轧退火样品的塑性显著高于热轧时效退火样品,但2者屈服强度相似,这归因于温轧阶段引入大量缺陷,促进了临界退火时奥氏体逆转变过程,提高了残余奥氏体分数,最终可实现屈服强度高达1230~1320 MPa并保有23%~29%的延伸率,这一综合性能显著优于文献中Cu/V单一合金化的中锰钢,尤其是屈服强度大幅提高。这是由于采用了Cu-V双合金化并且在热轧后采用了温轧加临界退火的两段热变形处理工艺,除了在温轧阶段引入富Cu析出相以实现强化外,在临界退火阶段析出的VC还弥补了由于退火导致的软化,实现了高屈服强度;并形成25%~30%的残余奥氏体来提供相变诱导塑性,从而保证了高塑性。

关键词：中锰钢温轧析出相奥氏体力学性能

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改进卷积注意力机制的轻量级检测无人机目标模型

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兰州大学学报（自然科学版） 2024年第4期60卷 528-535页

作者：彭艺李睿杨青青凃馨月昆明理工大学信息工程与自动化学院昆明650031 昆明理工大学云南省计算机技术应用重点实验室昆明650500

利用深度学习中特征提取的优势,提出一种改进算法,结合改进的卷积注意力模块,将YOLOv5模型骨干网络替换为改进的MobileNetv2轻量化网络,形成I-YOLOv5算法,旨在提高检测精确度和小目标、多目标的检测能力,同时保持实时性.为构建数据集,... 详细信息

利用深度学习中特征提取的优势,提出一种改进算法,结合改进的卷积注意力模块,将YOLOv5模型骨干网络替换为改进的MobileNetv2轻量化网络,形成I-YOLOv5算法,旨在提高检测精确度和小目标、多目标的检测能力,同时保持实时性.为构建数据集,通过网络搜索和自主录制无人机视频的方式,用Label Img工具完成标注.结果表明,I-YOLOv5算法在检测精度上有显著提升,对小目标和多目标的检测效果更优秀,在视频检测方面表现出色,具有较好的实时性能.通过模型结构优化,使检测模型的大小减少为原来的18.6%,检测速度提升120%.I-YOLOv5算法的平均精度均值达到97.8%.

关键词：无人机目标检测 YOLOv5模型卷积注意力机制轻量化

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不同淀粉-鱼肉蛋白挤出物特性研究

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食品科技 2024年第8期49卷 141-148页

作者：屠辛于靖王磊薛勇薛长湖中国海洋大学食品科学与工程学院海洋食品加工与安全控制全国重点实验室山东青岛266003 中国海洋大学三亚海洋研究院海南三亚572000

使用食品挤压加工技术制备高直链玉米淀粉(High straight-chain maize starch,HMS)、普通玉米淀粉(Normal maize starch,NMS)、蜡质玉米淀粉(Waxy maize starch,WMS)、木薯淀粉(Tapioca starch,CS)、马铃薯淀粉(Potato starch,PS)、预糊化玉米淀粉(Pregelatinized maize starch,PGS)与鱼糜(Surimi,S)的复合挤出物,并研究其加工性能和结构特性差异。加工性能结果显示:挤出物的水吸收/溶解指数普遍增加;黏度测试中CS-S和PGS-S的峰值黏度差异超过1000 mPa·s;流变测试中PS-S、HMS-S、PGS-S和NMS-S表现出类固体性质,CS-S和WMS-S体系显示出不均匀性。结构特性研究表明:挤压过程中物料发生美拉德反应;红外光谱分析表明直链淀粉有助于鱼肉蛋白形成有序二级结构;X射线衍射图谱显示挤出物保留晶体结构,并在19.8°产生新的直链淀粉-鱼肉蛋白晶态复合物;偏光显微镜观察发现支链淀粉不利于挤出物结构稳定。不同淀粉-鱼肉蛋白挤出物可满足不同形态/质地食品的生产需求,挤压过程中直链淀粉和鱼肉蛋白的相互作用为新型淀粉基食品的品质调控提供理论依据。

关键词：挤压加工淀粉鱼肉蛋白加工性能相互作用

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Effect of warm rolling process on microstructures and tensile properties of 10 Mn steel

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Journal of Materials Science & Technology 2020年第12期47卷 131-141页

作者： Bin Hu xin tu Haiwen Luo xinping Mao School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China

The influence of warm rolling processes on the microstructures and tensile properties of 100 Mn steel was *** appeared to increase with the rolling temperature but strengthening mechanisms *** increase of warm rolling temperature from 250℃ to 600℃ leads to enhanced recrystallization in martensite during the intercritical annealing(IA) at 620℃ for 5 *** a result,both ultimate tensile strength(UTS) and total elongation(TE) ***,the size of relatively coarse recrystallized austenite grains and the resultant yield strength(YS) remain almost constant in this temperature *** further increase of rolling temperature to 700-800℃ causes a considerable amount of pearlite to be formed during the IA,and then martensite is formed after the IA,resulting in dramatical increases in both YS and UTS but at the great loss of *** warm rolling at 600℃ with 63% thickness reduction can produce the steel with the best mechanical combination of 1.2 GPa UTS and 35% TE,due to the formation of many ultrafine austenite grains and strain-induced cementite *** demonstrates that the mechanical combination of non-V-alloyed medium Mn steel can be improved to an equivalent level of 0.7% V alloyed 10 Mn steel just via the economic strain-induced cementite precipitation.

关键词： Warm rolling Cementite precipitation Austenite stability Mechanical properties

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变应性鼻炎患者特异性免疫治疗依从性的研究进展

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实用临床医学（江西） 2024年第3期25卷 116-120页

作者：胡水花涂欣悦南昌大学第二附属医院耳鼻咽喉头颈外科南昌330006

变应原特异性免疫治疗(AIT)是变应性鼻炎(AR)的一线治疗方法,而AR患者治疗依从性普遍较低,并直接影响到最终的治疗结果。文章探讨患者自身、免疫治疗方案以及健康教育不足或缺失等导致AIT治疗依从性低的相关原因,总结针对患者和家属的... 详细信息

变应原特异性免疫治疗(AIT)是变应性鼻炎(AR)的一线治疗方法,而AR患者治疗依从性普遍较低,并直接影响到最终的治疗结果。文章探讨患者自身、免疫治疗方案以及健康教育不足或缺失等导致AIT治疗依从性低的相关原因,总结针对患者和家属的教育干预、优化免疫治疗方案以及运用数字化技术提高AR患者治疗依从性的干预对策,以期为提高AR患者治疗依从性水平提出针对性的建议。

关键词：变应性鼻炎特异性免疫治疗护理依从性综述

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石墨烯掺量对砂浆用丙烯酸涂层耐硫酸镁侵蚀性能的影响

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腐蚀与防护 2024年第2期45卷 50-54页

作者：孟令越佟钰秦岗强李晓涂欣沈阳建筑大学材料科学与工程学院沈阳110168 广州特种承压设备检测研究院广州510663

为改善丙烯酸涂层对水泥混凝土的保护能力,将石墨烯作为功能填料掺入丙烯酸涂层中,在水泥砂浆立方体试块表面制备了石墨烯改性丙烯酸复合涂层。考察了涂层中石墨烯掺量和砂浆试块制备过程中的水灰比对水泥砂浆耐硫酸镁侵蚀性能的影响,... 详细信息

为改善丙烯酸涂层对水泥混凝土的保护能力,将石墨烯作为功能填料掺入丙烯酸涂层中,在水泥砂浆立方体试块表面制备了石墨烯改性丙烯酸复合涂层。考察了涂层中石墨烯掺量和砂浆试块制备过程中的水灰比对水泥砂浆耐硫酸镁侵蚀性能的影响,优化防护涂层组成设计。结果表明:随涂层中石墨烯掺量的提高,硫酸镁侵蚀导致的砂浆试块的质量增加率和强度损失率均显著减小,但石墨烯掺量过高时,质量增加率和强度损失率反而升高;石墨烯最佳掺量推荐为0.4%(质量分数),该掺量对不同水灰比砂浆试块的耐硫酸镁腐蚀性能均表现出较好的改善效果,但较低的水灰比(0.4)有利于砂浆试块的成型,提高其耐硫酸镁腐蚀性能。

关键词：石墨烯丙烯酸涂层砂浆耐硫酸镁侵蚀性能

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Iterative learning control of SOFC based on ARX identification model

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2007年第12期8卷 1921-1927页

作者： HUO Hai-bo ZHU xin-jian tu Heng-yong Fuel Cell Research lnstitute Department of Automation Shanghai Jiao Tong University Shanghai 200240 China

This paper presents an application of iterative learning control (ILC) technique to the voltage control of solid oxide fuel cell (SOFC) stack. To meet the demands of the control system design, an autoregressive model with exogenous input (ARX) is established. Firstly, by regulating the variation of the hydrogen flow rate proportional to that of the current, the fuel utilization of the SOFC is kept within its admissible range. Then, based on the ARX model, three kinds of ILC controllers, i.e. P-, PI- and PD-type are designed to keep the voltage at a desired level. Simulation results demonstrate the potential of the ARX model applied to the control of the SOFC, and prove the excellence of the ILC controllers for the voltage control of the SOFC.

关键词： Autoregressive model with exogenous input (ARX) lterative learning control (ILC) Solid oxide fuel cell (SOFC) Identification

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