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14th International Conference on Quality, reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2024

作者： Chen, Kenlun Yang, Xuehe Zhu, Jiawei China Electronic Product Reliability and Environmental Testing Research Institute China CEPREI Laboratory Guangzhou China The Ministry of Industry and Information Technology Key Laboratory of Quality and Reliability Engineering Technology of Civil Aircraft and Aero-Engine Guangzhou China Guangdong Provincial Key Laboratory of Electronic Information Products Reliability Technology Guangzhou China

ISBN: (纸本)9781837242672

Bird strikes on aero-engines are a significant factor contributing to aircraft accidents. Airworthiness regulations in various countries impose specific requirements on engine resistance to bird strikes. Currently, the International Civil Aviation Organization (ICAO), the Federal Aviation Administration (FAA) of the United States, and the Civil Aviation Administration of China (CAAC) categorize the severity levels of bird species that pose threats to flight safety based on their weight within the relevant regions. Consequently, this thesis introduces a probabilistic risk assessment method based on bird strike severity levels. Utilizing bird strike data from U.S. civil aviation engines as an example, this study assesses the risk posed by birds of different severity levels in U.S. civil aviation. Through this method, the bird strike risk associated with each weight range specified in FAR 33.76 was quantitatively evaluated. This evaluation confirmed that the risk predictions for large birds in current airworthiness regulations align with the intended safety objectives. © The Institution of engineering & technology 2024.

关键词： Aircraft accidents

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Adsorption and membrane separation for removal and recovery of volatile organic compounds

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Journal of environmental Sciences 2023年第1期123卷 96-115页

作者： Guoqiang Gan Shiying Fan Xinyong Li Zhongshen Zhang Zhengping Hao State Key Laboratory of Fine Chemicals Key Laboratory of Industrial Ecology and Environmental Engineering(MOE)School of Environmental Science and TechnologyDalian University of TechnologyDalian 116024China National Engineering Laboratory for VOCs Pollution Control Material and Technology University of Chinese Academy of SciencesBeijing 101408China

Volatile organic compounds(VOCs)are a crucial kind of pollutants in the environment due to their obvious features of severe toxicity,high volatility,and poor *** is particularly urgent to control the emission of VOCs due to the persistent increase of concentration and the stringent *** China,clear directions and requirements for reduction of VOCs have been given in the“national plan on environmental improvement for the 13th Five-Year Plan period”.Therefore,the development of efficient technologies for removal and recovery of VOCs is of great *** technologies are favored by researchers due to their advantages in both recycling VOCs and reducing carbon *** them,adsorption and membrane separation processes have been extensively studied due to their remarkable industrial *** overview was to provide an up-to-date progress of adsorption and membrane separation for removal and recovery of ***,adsorption and membrane separation were found to be the research hotspots through bibliometric ***,a comprehensive understanding of their mechanisms,factors,and current application statuses was ***,the challenges and perspectives in this emerging field were briefly highlighted.

关键词： Volatile organic compounds(VOCs) Removal and recovery technology Adsorption Membrane separation Bibliometric analysis

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Sensor-data-based Photovoltaic Power Prediction Using Support Vector Machine Optimized by Improved Dragonfly Algorithm

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Sensors and Materials 2024年第8期36卷 3609-3624页

作者： Niu, Jincai Tang, Yu Lin, Hsiung-Cheng State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin300401 China Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province Hebei University of Technology Tianjin300130 China Department of Electronic Engineering National Chin-Yi University of Technology Taichung41170 Taiwan

A large-scale integration of photovoltaic (PV) systems can degrade the stability of the power grid. Therefore, it is important to accurately predict the short-term output power generated from PV systems to achieve better grid power distribution and allocation. For this reason, a short-term PV power prediction model that uses the data collected from temperature sensors, irradiance sensors, and other relevant sensors was proposed, in which an improved dragonfly algorithm (IDA) was applied to optimize the support vector machine (SVM). First, the output power curves of PV systems under sunny, cloudy, and rainy conditions were analyzed to determine the input variables of the prediction model, which included temperature, relative humidity, and solar radiation intensity. Second, the original dragonfly algorithm in the optimization process was improved, and then, this IDA was utilized to optimize the parameters of SVM, enhancing the predictive capability of the model. Finally, the IDA-optimized SVM (IDA-SVM) model was applied to predict the PV output power. Test performance results demonstrated that the average absolute percentage errors of IDA-SVM were 2.42, 5.96, and 7.44% for sunny, cloudy, and rainy days, respectively, outperforming other comparative models. The performance results showed that the proposed model can not only improve the stability of PV integration, but also effectively increase the penetration rate of PV energy and enhance the reliability of power system operation. © MYU K.K.

关键词： Prediction models

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A facile data-driven battery capacity estimation framework for on-road plug-in hybrid electric vehicle

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Progress in Natural Science:Materials International 2025年第1期35卷 166-176页

作者： Jianlu Li Yanming Chen Tongxing Lei Jianguo Liu Guizheng Liu Zhaoyang Deng Xuebiao Wu Zhiyu Ding Yinghe Zhang Junwei Wu Yanan Chen Guangzhou Automobile Group Co. Ltd. School of Materials Science and Engineering Harbin Institute of Technology School of Materials and Environmental Engineering Shenzhen Polytechnic University School of Science Shenzhen Key Laboratory of Flexible Printed Electronics Technology Shenzhen Key Laboratory of Advanced Functional Carbon Materials Research and Comprehensive Application Harbin Institute of Technology School of Materials Science and Engineering Key Laboratory of Advanced Ceramics and Machining Technology of Ministry of Education Tianjin Key Laboratory of Composite and Functional Materials Tianjin University

A data-driven framework with strong generalization capabilities is proposed to effectively extract features and easily access battery capacity. This framework can make highly accurate predictions for the battery capacities of plug-in electric vehicles. The feature extraction process is entirely based on statistics, which are always available and can be generalized to various types of battery data. An improved ampere-hour integral method can easily access battery capacity with just short-charging segments lasting 500 s. Several machine-learning models are trained to verify the framework's effectiveness, with the best model achieving a test error of 0.84 % based on leave-one-out validation. SHAP values are used to provide a reasonable interpretation of the relationships between the constructed features and model outputs. The proposed framework offers advantages such as reduced computational resources, wide generalization, and high prediction accuracy, showing great potential for battery management.

关键词： Battery capacity estimation Data-driven framework Lithium-ion battery Machine learning Plug-in hybrid electric vehicle

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Strategically designing and fabricating nitrogen and sulfur Co-doped g-C3N4 for accelerating photocatalytic H2 evolution

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材料科学技术（英文版） 2025年第5期208卷 111-119页

作者： Haitao Wang Lianglang Yu Jiahe Peng Jing Zou Jizhou Jiang School of Chemistry and Environmental Engineering School of Environmental Ecology and Biological EngineeringKey Laboratory of Green Chemical Engineering Process of Ministry of EducationEngineering Research Center of Phosphorus Resources Development and Utilization of Ministry of EducationNovel Catalytic Materials of Hubei Engineering Research CenterWuhan Institute of TechnologyWuhan 430205China State Key Laboratory of Silicate Materials for Architectures Wuhan University of TechnologyWuhan 430070China

Doping engineering is an effective strategy for graphitic carbon nitride(g-C3N4)to improve its photocat-alytic hydrogen evolution reaction(HER)*** this work,a novel nitrogen and sulfur co-doped g-C3N4(N,S-g-C3N4)is elaborately designed on the basis of theoretical predictions of first-principle density functional theory(DFT).The calculated Gibbs free energy of adsorbed hydrogen(ΔGH·)for N,S-g-C3N4 at the N-doping active sites is extremely close to zero(0.01 eV).Inspired by the theoretical predictions,the N,S-g-C3N4 is successfully fabricated through ammonia-rich pyrolysis synthesis strategy,in which ammonia is in-situ obtained by pyrolyzing *** characterizations indicate that the N,S-g-C3N4 possesses high specific surface area,outstanding light utilization,good hydrophilicity,and efficient carrier transfer ***,the N,S-g-C3N4 displays an extremely high H2 evolution rate of 8269.9 μmol g-1 h-1,achieves an apparent quantum efficiency(AQE)of 3.24％,and also possesses outsatnding *** calculations further demonstrate that N and S dopants can not only introduce doping energy level to reduce the band gap,but also induce charge redistribution to facilitate hydrogen adsorption,thus promoting the photocatalytic HER ***,femtosecond transient absorption(fs-TA)spectroscopy further corroborates the efficient photogenerated carrier transport of N,*** research highlights a promising and reliable strategy to achieve superior photocatalytic activity,and exhibits significant guidance for precise designing high-efficiency photocatalysts.

关键词： Theoretical predictions g-C3N4 N and S co-doping Photocatalytic H2 evolution

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Prediction model on hydrolysis kinetics of phthalate monoester:A density functional theory study

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Journal of environmental Sciences 2024年第1期135卷 51-58页

作者： Tong Xu Jingwen Chen Deming Xia Weihao Tang Jiansheng Cui Chun Liu Shuangjiang Li College of Environmental Science and Engineering Hebei University of Science and TechnologyShijiazhuang 050000China Key Laboratory of Industrial Ecology and Environmental Engineering(Ministry of Education) School of Environmental Science and TechnologyDalian University of TechnologyDalian 116024China National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and ManagementInstitute of Eco-environmental and Soil SciencesGuangdong Academy of SciencesGuangzhou 510650China

As primary degradation products of phthalate esters,phthalate monoesters(MPEs)have been widely detected in various aquatic environments and drawn growing toxicological *** kinetics that is of importance for assessing environmental persistence of chemicals remain elusive for ***,kinetics of base-catalyzed and neutral hydrolysis for 18 MPEs with different leaving groups was investigated by density functional theory *** indicate that MPEs with leaving groups having p Kaof<10 prefer dissociative transition *** are more persistent than their parents,and their hydrolysis half-lives were calculated to vary from 3.4 min to 79.2 years(p H=7–9).A quantitative structure-activity relationship model was developed for predicting the hydrolysis kinetics *** was found that p Kaof the leaving groups and electronegativity of the MPEs are key factors determining the hydrolysis *** work may lay a theoretical foundation for better understanding the chemical process that governs MPE persistence in aquatic environments.

关键词： Phthalate monoesters Phthalate esters Hydrolysis Density functional theory Quantitative structure-activity relationship

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Microstructure,Properties and Crack Suppression Mechanism of High-speed Steel Fabricated by Selective Laser Melting at Different Process Parameters

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Chinese Journal of Mechanical engineering 2023年第2期36卷 91-105页

作者： Wenbin Ji Chuncheng Liu Shijie Dai Riqing Deng State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of TechnologyTianjin 300130China School of Mechanical Engineering Hebei University of TechnologyTianjin 300130China

To enrich material types applied to additive manufacturing and enlarge application scope of additive manufacturing in conformal cooling tools,M2 high-speed steel specimens were fabricated by selective laser melting(SLM).Effects of SLM parameters on the microstructure and mechanical properties of M2 high-speed steel were *** results showed that substrate temperature and energy density had significant influence on the densification process of materials and defects *** to evaluate the effect of substrate temperature and energy density on hardness were *** optimized process parameters,laser power,scan speed,scan distance,and substrate temperature,for fabricated M2 are 220 W,960 mm/s,0.06 mm,and 200℃,*** on this,the hardness and tensile strength reached 60 HRC and 1000 MPa,*** crack formation and suppression mechanism and the relationship between temperature gradient and thermal stress were *** inhibition effect of substrate temperature on the cracks generated by residual stresses was also *** showed great application potential in the field of special conformal cooling cutting tool preparation.

关键词： Selective laser melting High-speed steel Mechanical properties Microstructure Interlaminar cracks

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High concentration of Ti^(3+)in C-TiO_(x)nanosheets boosting efficient photodegradation

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Science China(Technological Sciences) 2025年第3期68卷 156-166页

作者： Chongbei WU Xuan LI Haibin WANG Jiaxin TANG Shuai WEI Yuanyuan WU Aobing WANG Jizhou JIANG Hebei Key Laboratory of Man-machine Environmental Thermal Control Technology and Equipment Hebei Vocational University of Technology and EngineeringXingtai054000China School of Materials Science and Engineering Key Laboratory of Green Chemical Engineering Process of Ministry of EducationEngineering Research Center of Phosphorus Resources Development and Utilization of Ministry of EducationWuhan Institute of TechnologyWuhan430205China

Semiconductor photocatalysis holds significant promise for addressing dye-pollution in ***,the efficiency of photocatalytic water purification is constrained by the weak light absorption capacity and low active site distribution of *** a bottom-up approach,carbon-doped TiO_(x)(C-TiO_(x))nanosheets with high concentrations of Ti^(3+)active sites were fabricated by etching the Al element in Ti_(3)Ai C_(2)with H_(2)O_(2).Experimental evidence demonstrates that the optimal C-TiO_(x)nanosheets exhibit high activity for the photocatalytic degradation of methylene blue,achieving a degradation rate of 100%within 50 *** introduction of carbon into the C-TiO_(x)nanosheets induces a red shift in the absorption edge,boosting the migration of photo-generated charge ***,there is a significant correlation between the concentration of Ti^(3+)active sites and the density of oxygen vacancies in the C-TiO_(x)nanosheets,which synergistically influence the photocatalytic degradation performance of MB dye wastewater.

关键词： bottom-up strategies C-TiO_(x)nanosheets high-concentrations Ti^(3+) photocatalytic degradation

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Feasibility of low-intensity ultrasound treatment with hydroxylamine to accelerate the initiation of partial nitrification and allow operation under intermittent aeration

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Journal of environmental Sciences 2024年第5期139卷 446-459页

作者： Jianxiong Jian Xiaojian Liao Zhihua Mo Shoupeng Li Lei Li Shaojin Chen Zhenhua Huang Junhao Chen Wencan Dai Shuiyu Sun Guangzhou Key Laboratory Environmental Catalysis and Pollution Control Guangdong Key Laboratory of Environmental Catalysis and Health Risk ControlSchool of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Guangdong Province Solid Waste Recycling and Heavy Metal Pollution Control Engineering Technology Research Center Guangdong Polytechnic of Environmental Protection EngineeringFoshan 528216China Analysis and Test Center Guangdong University of TechnologyGuangzhou 510006China

Partial nitrification is a key aspect of efficient nitrogen removal,although practically it suf-fers from long start-up cycles and unstable long-term operational *** address these drawbacks,this study investigated the effect of low intensity ultrasound treatment combined with hydroxylamine(NH2OH)on the performance of partial *** showthat compared with the control group,low-intensity ultrasound treatment(0.10W/mL,15 min)combined with NH2OH(5 mg/L)reduced the time required for partial nitrification initiation by 6 days,increasing the nitrite accumulation rate(NAR)and ammonia nitro-gen removal rate(NRR)by 20.4% and 6.7%,respectively,achieving 96.48% ***-tic analysis showed that NH2OH enhanced ammonia oxidation,inhibited nitrite-oxidizing bacteria(NOB)activity and shortened the time required for partial nitrification ***,ultrasonication combined with NH2OH dosing stimulated EPS(extracellular polymeric substances)secretion,increased carbonyl,hydroxyl and amine functional group abundances and enhanced mass *** addition,16S rRNA gene sequencing results showed that ultrasonication-sensitive Nitrospira disappeared from the ultrasound+NH_(2)OH system,while Nitrosomonas gradually became the dominant ***,the results of this study provide valuable insight into the enhancement of partial nitrification start-up during the process of wastewater nitrogen removal.

关键词： Partial nitrification Low-intensity ultrasound Hydroxylamine Ammonia oxidizing bacteria Nitrite oxidizing bacteria

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Discussion on the reliability Work of Future Combat Aircraft under Aircraft/Engine Integrated Design 14

Discussion on the Reliability Work of Future Combat Aircraft...

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14th International Conference on reliability, Maintainability and Safety, ICRMS 2023

作者： Ding, Yu Li, Tianhao Institute of Reliability Engineering Beihang University Science and Technology The Reliability and Environmental Engineering Laboratory China Beijing China

ISBN: (纸本)9798350329988

Traditional independent methods of aircraft and engine design can no longer meet the mission requirements of future aircraft, including high maneuverability, high energy, large airspace, and wide speed range. To achieve optimal matching between aircraft and engine and promote full play to the maximum performance potential of aircraft and engines, aircraft-engine integration designs are essential. Therefore, considering the highly coupled structure, complex control logic, and dramatic increase in energy and heat dissipation requirements under the integration design to ensure a high mission success rate, corresponding reliability analysis work and reliability level improvement of the whole aircraft are necessary. In this paper, the characteristics of work, structure, environment, and other aspects of aircraft-engine integrated design are initially considered, and the steps to conduct reliability work are discussed. © 2023 IEEE.

关键词： reliability analysis

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