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High H_(2) selective performance of Ni-Fe-Ca/H-Al catalysts for steam reforming of biomass and plastic

Journal of Energy Chemistry 2023年第5期80卷 215-227,I0006页

作者： Jin Deng Lingshuai Meng duo ma Yujie Zhou Xianyang Wang Xiaodong Luo Shenfu Yuan School of Chemical Science and Engineering Yunnan Provincial Key Laboratory of Carbon Neutral and Green Low-Carbon TechnologyKey Laboratory of Medicinal Chemistry for Natural ResourceMinistry of EducationNational Center for Experimental Chemistry and Chemical Engineering Education DemonstrationYunnan Characteristic Plant Extraction LaboratorySchool of PharmacyYunnan University650091 KunmingYunnanChina

The development of a selective catalyst for the conversion of biomass and plastics into H2by steam reforming can combat the energy crisis and global *** this work,support Ni-Fe-Ca/H-Al bifunctional catalysts were prepared by loading Ni and Fe into pretreatment CaO/Al_(2)O_(3)(Ca/H-Al)carriers and showed high catalytic activity for the steam reforming of biomass and ***,the idea of bidirectional degradation was exploited to strengthen the pyrolysis of plastic with a high H/C and biomass with a high O/***,the products presented high H2selective(1302.10 m L/g)and low CO_(2)yield(120.23 m L/g)in 7Ni-5Fe-Ca/H-Al(2:4)catalyst compared with current ***,the abundant oxygen vacancies(Ov)in the H-Al carrier exhibited an electron-deficient nature,providing active sites for anchoring Ni ***,Ni O interacted with Ca_(2)Fe_(2)O_(5)to produce more defective Ovsites,which stabilized the NiO particles in the 7Ni-5Fe-Ca/H-Al(2:4)catalyst,and the interaction between the catalyst and the carrier was enhanced,leading to the reduction of weakly basic sites,this property promoted the strong adsorption of CO_(2)and H2O by the catalyst,contributing to the enhancement of efficient steam conversion and the promotion of conversion of by-products to ***,7Ni-5Fe-Ca/H-Al(2:4)catalysts maintained structural integrity after regeneration and exhibited excellent regenerability in H2selection and CO_(2)*** work provides a new idea for the study of efficient H2production from steam reforming of biomass and plastics.

关键词： Biomass and plastic Pyrolysis Steam reforming Ni-Fe-Ca/H-Al catalyst H_(2)selective

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Intelligent Detection Model Based on a Fully Convolutional Neural Network for Pavement Cracks

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Computer Modeling in Engineering & Sciences 2020年第6期123卷 1267-1291页

作者： duo ma Hongyuan Fang Binghan Xue Fuming Wang Mohammed AMsekh Chiu Ling Chan School of Water Conservancy Engineering Zhengzhou UniversityZhengzhou450001China National Local Joint Engineering Laboratory of major Infrastructure Testing and Rehabilitation Technology Zhengzhou450001China Collaborative Innovation Center of Water Conservancy and Transportation Infrastructure Safety Zhengzhou450001China Civil Engineering Department College of EngineeringUniversity of BabylonBabylonIraq Institute of Structural Mechanics Bauhaus Universität WeimarWeimarGermany

The crack is a common pavement failure problem.A lack of periodic maintenance will result in extending the cracks and damage the pavement,which will affect the normal use of the ***,it is significant to establish an efficient intelligent identification model for pavement *** neural network is a method of simulating animal nervous systems using gradient descent to predict results by learning a weight *** has been widely used in geotechnical engineering,computer vision,medicine,and other ***,there are three major problems in the application of neural networks to crack *** are too few layers,extracted crack features are not complete,and the method lacks the efficiency to calculate the whole *** this study,a fully convolutional neural network based on ResNet-101 is used to establish an intelligent identification model of pavement crack *** method,using a convolutional layer instead of a fully connected layer,realizes full convolution and accelerates *** region proposals come from the feature map at the end of the base network,which avoids multiple computations of the same *** hard example mining and data-augmentation techniques are adopted to improve the model’s recognition *** trained and tested Concrete Crack Images for Classification(CCIC),which is a public dataset collected using smartphones,and the Crack Image Database(CIDB),which was automatically collected using vehicle-mounted charge-coupled device cameras,with identification accuracy reaching 91.4%and 86.4%,*** proposed model has a higher recognition accuracy and recall rate than Faster RCNN and different depth models,and can extract more complete and accurate crack features in *** also analyzed translation processing,fuzzy,scaling,and distorted *** proposed model shows a strong robustness and stability,and can automatically identify image cracks of different *** has broad application

关键词： Fully convolutional neural network pavement crack intelligent detection crack image database

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Intelligent Segmentation and Measurement Model for Asphalt Road Cracks Based on Modified mask R-CNN Algorithm

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Computer Modeling in Engineering & Sciences 2021年第8期128卷 541-564页

作者： Jiaxiu Dong Jianhua Liu Niannian Wang Hongyuan Fang Jinping Zhang Haobang Hu duo ma School of Water Conservancy Engineering Zhengzhou UniversityZhengzhou450001China National Local Joint Engineering Laboratory of major Infrastructure Testing and Rehabilitation Technology Zhengzhou450001China Collaborative Innovation Center of Water Conservancy and Transportation Infrastructure Safety Zhengzhou450001China Guangzhou Expressway Limited Company Guangzhou510288China

Nowadays, asphalt road has dominated highways around the world. Among various defects of asphalt road, crackshave been paid more attention, since cracks often cause major engineering and personnel safety incidents. Currentmanual crack inspection methods are time-consuming and labor-intensive, and most segmentation methods cannot detect cracks at the pixel level. This paper proposes an intelligent segmentation and measurement model basedon the modified mask R-CNN algorithm to automatically and accurately detect asphalt road cracks. The modelproposed in this paper mainly includes a convolutional neural network (CNN), an optimized region proposalnetwork (RPN), a region of interest (RoI) Align layer, a candidate area classification network and a mask branch offully convolutional network (FCN). The ratio and size of anchors in the RPN are adjusted to improve the accuracyand efficiency of segmentation. Soft non-maximum suppression (Soft-NMS) algorithm is developed to improvethe segmentation accuracy. A dataset including 8,689 images (512× 512 pixels) of asphalt cracks is established andthe road crack is manually marked. Transfer learning is used to initialize the model parameters in the trainingprocess. To optimize the model training parameters, multiple comparison experiments are performed, and the testresults show that the mean average precision (maP) value and F1-score of the optimal trained model are 0.952 and0.949. Subsequently, the robustness verification test and comparative test of the trained model are conducted andthe topological features of the crack are extracted. Then, the damage area, length and average width of the crackare measured automatically and accurately at pixel level. More importantly, this paper develops an automatic crackdetection platform for asphalt roads to automatically extract the number, area, length and average width of cracks,which can significantly improve the crack detection efficiency for the road maintenance industry.

关键词： Asphalt road cracks intelligent segmentation automatic measurement deep learning mask R-CNN

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Design of high-performance ion-doped CoP systems for hydrogen evolution:From multi-level screening calculations to experiment

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Journal of Energy Chemistry 2023年第7期82卷 307-316,I0007页

作者： Xiaofei Cao Siqian Xing duo ma Yuan Tan Yucheng Zhu Jun Hu Yao Wang Xi Chen Zhong Chen School of Chemical Engineering Northwest UniversityXi'an 710069ShaanxiChina The Youth Innovation Team of Shaanxi Universities Xi'an 710069ShaanxiChina Engineering Research Center of Alternative Energy materials&Devices Ministry of EducationSichuan UniversityChengdu 610065SichuanChina Earth Engineering Center Center for Advanced Materials for Energy and EnvironmentDepartment of Earth and Environmental EngineeringColumbia UniversityNew York NY10027USA School of materials Science and Engineering Nanyang Technological UniversitySingapore 639798Singapore

Rational design of high-performance electrocatalysts for hydrogen evolution reaction(HER)is vital for future renewable energy *** incorporation of foreign metal ions into catalysts can be an effective approach to optimize its ***,there is a lack of systematic theoretical studies to reveal the quantitative relationships at the electronic ***,we develop a multi-level screening methodology to search for highly stable and active dopants for CoP *** density functional theory(DFT)calculations and symbolic regression(SR)were performed to investigate the relationship between the adsorption free energy(ΔG_(H^(*)))and 10 electronic *** mathematic formulas derived from SR indicate that the difference of work function(ΔΦ)between doped metal and the acceptor plays the most important role in regulatingΔG_(H^(*)),followed by the d-band center(d-BC)of doped *** descriptor of HER can be expressed asΔG_(H^(*))=1.59×√|0.188ΔΦ+d BC+0.120|1/2-0.166 with a high determination coefficient(R^(2)=0.807).Consistent with the theoretical prediction,experimental results show that the Al-CoP delivers superior electrocatalytic HER activity with a low overpotential of75 m V to drive a current density of 10 ma cm^(-2),while the overpotentials for undoped CoP,Mo-CoP,and V-CoP are 206,134,and 83 m V,*** current work proves that theΔΦis the most significant regulatory parameter ofΔG_(H^(*))for ion-doped *** finding can drive the discovery of high-performance ion-doped electrocatalysts,which is crucial for electrocatalytic water splitting.

关键词： Design of ion-doped catalyst Symbolic regression Density functional theory calculation Hydrogen evolution reaction

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Surface-enhanced fluorescence from copper nanoparticles on silicon nanowires

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Frontiers of Optoelectronics 2011年第1期4卷 114-120页

作者： Shujuan ZHUO Mingwang SHAO Liang CHENG Ronghui QUE Dorthy duo duo ma Shuit Tong LEE Institute of Functional Nano & Soft materials (FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials & DevicesSoochow University Center of Super-Diamond and Advanced Films and Department of Physics and materials Science City University of Hong Kong

A method to enhance surface plasmon coupled fluorescence from copper nanoparticles on silicon nanowires is presented. Owing to resonant plasmons oscillation on the surface of Cu/Si nanostructure, the fluorescence peaks of several lanthanide ions(praseodymium ions, Pr3+,neodymium ions Nd3+, holmium ions Ho3+, and erbium ions Er3+) were markedly enhanced with the enhancement of maximal 2 orders of magnitude, which was larger than that caused by unsupported Cu nanoparticles. These results might be explained by the local field overlap originated from the closed and fixed copper nanoparticles on silicon nanowires.

关键词： Cu/Si nanostructure surface-enhanced fluorescence lanthanide ions resonant plasmons oscillation

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Effects of substitution of group-V atoms for carbon or silicon atoms on optical properties of silicon carbide nanotubes

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Chinese Physics B 2021年第6期30卷 602-609页

作者： Ying-Ying Yang Pei Gong Wan-duo ma Rui Hao Xiao-Yong Fang Key Laboratory for Microstructural material Physics of Hebei Province School of ScienceYanshan UniversityQinhuangdao 066004China

Silicon carbide nanotubes(SiCNTs) have broad application prospects in the field of micro-nanodevices due to their excellent physical properties. Based on first-principles, the difference between optical properties of SiCNTs where C atom or Si atom is replaced by group-V element is studied. The results show that the optical absorptions of SiCNTs doped by different elements are significantly different in the band of 600 nm–1500 nm. The differences in photoconductivity, caused by different doping elements, are reflected mainly in the band above 620 nm, the difference in dielectric function and refractive index of SiCNTs are reflected mainly in the band above 500 nm. Further analysis shows that SiCNTs doped with different elements change their band structures, resulting in the differences among their optical properties. The calculation of formation energy shows that SiCNTs are more stable when group-V element replaces Si atom, except N atom. These research results will be beneficial to the applications of SiC nanomaterials in optoelectronic devices and provide a theoretical basis for selecting the SiCNTs' dopants.

关键词： silicon carbide nanotubes group-V doped optical properties first-principles theory

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Effects of Welding Speed and Post-weld Hot Rolling on Microstructure and Mechanical Properties of Friction Stir-Welded AZ31 magnesium Alloy

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Acta Metallurgica Sinica(English Letters) 2018年第8期31卷 853-864页

作者： Gang Liu Li-Na ma Zhen-duo ma Xue-Song Fu Guo-Bing Wei Yan Yang Tian-Cai Xu Wei-Dong Xie Xiao-Dong Peng College of materials Science and Engineering Chongqing UniversityChongqing 400044China National Engineering Research Center for magnesium Alloys Chongqing 400044China

The as-rolled AZ31 Mg alloy sheets are welded by friction stir welding（FSW） in this study, followed by annealing and hot rolling with different reductions. The effects of welding speed and the rolling reduction on the microstructure, tensile properties, microhardness and fracture surfaces of the specimens are investigated. The results show that the microstructures of the FSW joint in different regions become more and more consistent as the hot rolling reduction increases. The mechanical properties of the FSW joints and the joint coefficient are improved with increasing rolling reduction; however,the hardness value in the stirred zone decreases firstly and then increases. When the rolling reduction is 50%, the tensile strength of FSW joint is close to that of base metal. The sample L_3 achieves the best comprehensive properties, with the yield strength, ultimate tensile strength and elongation of 162, 287.9 MPa, and 17.9%, respectively.

关键词： magnesium alloy FSW Post-weld hot rolling Microstructure Mechanical properties

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Conductance and dielectric properties of hydrogen and hydroxyl passivated SiCNWs

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Chinese Physics B 2021年第10期30卷 609-616页

作者： Wan-duo ma Ya-Lin Li Pei Gong Ya-Hui Jia Xiao-Yong Fang Key Laboratory for Microstructural material Physics of Hebei Province School of ScienceYanshan UniversityQinhuangdao 066004China

Based on the transport theory and the polarization relaxation model,the effects of hydrogen and hydroxyl passivation on the conductivity and dielectric properties of silicon carbide nanowires(SiCNWs)with different sizes are numerically *** results show that the variation trend of conductivity and band gap of passivated SiCNWs are opposite to the scenario of the size effect of bare *** the influencing factors of conductivity,the carrier concentration plays a leading *** the dielectric properties,the bare SiCNWs have a strong dielectric response in the blue light region,while passivated SiCNWs show a more obvious dielectric response in the far ultraviolet-light *** particular,hydroxyl passivation produces a strong dielectric relaxation in the microwave band,indicating that hydroxyl passivated SiCNWs have a wide range of applications in electromagnetic absorption and shielding.

关键词： silicon carbide nanowires passivation conductance properties dielectric relaxation

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Microstructure and properties of Al_(2)O_(3)-ZrO_(2)-TiO_(2)composite coatings prepared by plasma spraying

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Rare Metals 2021年第7期40卷 1825-1834页

作者： Peng-Yue Gao Yu-duo ma Wen-Wei Sun Yong Yang Chen Zhang Yu-Hang Cui Yan-Wei Wang Yan-Chun Dong School of materials Science and Engineering Hebei University of TechnologyTianjin 300132China Key Laboratory for New Type of Functional materials in Hebei Province Tianjin 300132China State Key Laboratory of Reliability and Intelligence of Electrical Equipment Tianjin 300132China

Al_(2)O_(3)-ZrO_(2)-TiO_(2)coatings were successfully prepared by plasma spraying Al_(2)O_(3)-ZrO_(2)composite powders with and without TiO_(2)*** effects of TiO_(2)on the phase composition,microstructure and properties of the Al_(2)O_(3)-ZrO_(2)coating were *** results show that the Al_(2)O_(3)-ZrO_(2)-TiO_(2)composite powder was composed of t-ZrO_(2),a-Al_(2)O_(3),m-ZrO_(2)and rutile,while the Al_(2)O_(3)-ZrO_(2)-TiO_(2)composite coating consisted of t-ZrO_(2),a-Al_(2)O_(3)and c-Al_(2)O_(3).The diffraction peaks of TiO_(2)could not be detected in the Al_(2)O_(3)-ZrO_(2)-TiO_(2)coating even up to10 wt%TiO_(2)*** reason may be that TiO_(2)was dissolved in the amorphous phase or formed solid solution with c-Al_(2)O_(3)phase in the coating during *** with the Al_(2)O_(3)-ZrO_(2)coating,the as-prepared Al_(2)O_(3)-ZrO_(2)-TiO_(2)coating had denser microstructure,less microcracks and more amorphous *** density of the Al_(2)O_(3)-ZrO_(2)-TiO_(2)coating increased with the increase of TiO_(2)*** Al_(2)O_(3)-ZrO_(2)-10 wt%TiO_(2)coating had the most uniform and dense microstructure,possessed higher toughness,adhesive strength and wear resistance compared with the Al_(2)O_(3)-ZrO_(2)coating,which was due to its lower porosity and more uniform microstructure.

关键词： Al_(2)O_(3)-ZrO_(2) Composite coatings Plasma spraying TiO_(2)

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Performance decay prediction model of proton exchange membrane fuel cell based on particle swarm optimization and gate recurrent unit

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Energy and AI 2024年第3期17卷 487-494页

作者： Ziliang Zhao Yifan Fu Ji Pu Zhangu Wang Senhao Shen duo ma Qianya Xie Fojin Zhou College of Transportation Shandong University of Science and TechnologyQingDao266590China Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory FoShan528000China

The durability of proton exchange membrane fuel cells (PEMFC) is an important issue that restricts their large-scale application. To improve their reliability during use, this paper proposes a short-term performance degradation prediction model using particle swarm optimization (PSO) to optimize the gate recurrent unit (GRU). After training using only the data from the first 300 h, good prediction accuracy can be achieved. Compared with the traditional GRU algorithm, the proposed prediction method reduces the root mean square error (RMSE) and mean absolute error (maE) of the prediction results by 44.8 % and 35.1 %, respectively. It avoids the problem of low accuracy in predicting performance during the temporary recovery phase in traditional GRU models, which is of great significance for the health management of PEMFC.

关键词： (Gate recurrent unit)GRU (Proton exchange membrane fuel cells)PEMFC Prediction (Particle swarm optimization)PSO

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