检索结果-内蒙古大学图书馆

Innovation and Green Development 2025年第3期4卷

作者： Aga, Amanuel Gebisa Gebresenbet, Girma Gopal, Rajendiran Nallamothu, Ramesh Babu Mechanical Engineering Department Adama Science and Technology University Adama P.O. Box 1888 Ethiopia Division of Automation and Logistics Department of Energy and Technology Swedish University of Agricultural Science P.O. Box 7032 Uppsala 750 07 Sweden Automotive Engineering Program Department of Mechanical and Industrial Engineering Bahir Dar Institute of Technology Bahir Dar University P.O.Box 79 Ethiopia

Emission inventories play a crucial role in identifying the primary sources of atmospheric pollution. In urban environments, including Addis Ababa, elevated concentrations of vehicle emissions pose significant environmental risks. Consequently, measuring vehicle emissions becomes imperative for estimating the impact of passenger vehicles on urban air quality. In 2022, a drive cycle specific to Addis Ababa was developed for the first time;however, it was not utilized for determining both fuel consumption and vehicle emissions. Previous studies on emission inventories primarily focused on vehicle classification, neglecting variations in emissions on different types of roads. This study introduces routes-based emissions inventories and fuel consumption estimates for passenger cars based on the Addis Ababa drive cycle and the Worldwide Harmonized Light Vehicles Test Cycle. To validate the model, an experimental chassis dynamometer setup was employed. The findings of this study revealed that driving in the congested urban areas of Addis Ababa contributes to 56.25 % carbon monoxide, 37.28 % carbon dioxide, 38.19 % nitrogen oxides, 58.25 % volatile organic compound, 29 % particulate matter emissions, along with 37.29 % fuel consumption. Furthermore, congested urban and rural areas in Addis Ababa account for 60 %–73 % of all emissions and fuel consumption from passenger vehicles. The Addis Ababa city administration shall adopt cleaner technologies, improve public transportation access, and implement stricter emissions standards to mitigate vehicular pollution in the city. © 2025 The Authors

关键词： Addis Ababa Emission inventory Fuel consumption Passenger vehicle Vehicle emissions

来源：评论

学校读者我要写书评

暂无评论

Energy Consumption Prediction for Home Appliances with Recurrent Neural Networks

Energy Consumption Prediction for Home Appliances with Recur...

引用

Expert Clouds and Applications (ICOECA), International Conference on

作者： H. Mickle Aancy S. Anitha Janet Mary T. Manikumar G. Saravanan V. Mohanavel Rahul Dev Gupta Department of Management Studies Panimalar Engineering College Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Noorul Islam Centre for Higher Education Kumaracoil Tamil Nadu India Department of Computer Science and Engineering Kalasalingam Academy of Research and Education (Deemed to be University) Tamil Nadu India Department of Electrical and Electronics Engineering KPR Institute of Engineering and Technology Coimbatore Tamil Nadu India Centre for Materials Engineering and Regenerative Medicine Bharath Institute of Higher Education and Research Chennai Tamil Nadu India Department of Mechanical Engineering Maharishi Markandeshwar (Deemed to be University) Haryana India

ISBN: (数字)9798350385793

ISBN: (纸本)9798350385809

Efficient energy management requires a thorough understanding of individual appliance energy consumption in both residential and business environments. Because of the growing number of Internet of Things (loT) devices in smart homes, household appliances are a significant source of total energy consumption. Commonly used equipment such as heating systems, washing machines, and vacuum cleaners have a substantial impact on daily energy consumption. Significant energy savings can only be realized by careful management and forecasting of these appliances' energy consumption. This research employs Recurrent Neural Network (RNN) models for energy forecasting of housing appliances, with Long Short-Term Memory (LSTM) and a hybrid model known as Bi-LSTM-Attention Network. A Kaggle dataset with 28 features is used in this study, which is then reduced to 17 using a correlation plot. The processed data is used in both the training and testing phases of the RNN models. Many metrics are used to evaluate the performance of the models, including R-squared (R2), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). The Bi- LSTM-Attention Network achieves excellent performance, with training and testing R2 values of 0.9978 and 0.9835, respectively. In addition, lower MSE and RMSE values demonstrate that Bi-LSTM-Attention Network constantly outperforms LSTM. The findings show that the proposed Bi-LSTM-Attention Network is capable of accurately predicting the amount of energy household appliances will consume.

关键词： Training Home appliances Energy consumption Recurrent neural networks Vacuum systems Predictive models Washing machines

来源：评论

学校读者我要写书评

暂无评论

When low-dimensional nanomaterials meet polymers: A promising configuration for flame retardancy and corrosion protection

引用

Chemical engineering Journal 2025年 515卷

作者： Khalid, Salman Mubeen, Muhammad Tabish, Mohammad Jawad, Muhammad Malik, Muhammad Uzair Ahsen Ilyas, H.M. Mahmood, Mubashar Alam, Mohammed Mujahid Sun, Jun Yasin, Ghulam College of Materials Science and Engineering Beijing University of Chemical Technology Beijing100029 China State Key Laboratory of Organic-Inorganic Composite Materials Beijing University of Chemical Technology Beijing10029 China School of Electrical Electronic and Mechanical Engineering University of Bristol Bristol United Kingdom Department of Chemistry College of Science King Khalid University Abha61413 Saudi Arabia King Khalid University Abha61413 Saudi Arabia School of Environment and Civil Engineering Dongguan University of Technology Guangdong Dongguan523808 China

Nanomaterial advancements have enabled the development of innovative functional coatings across various sectors. To mitigate the risk of catastrophic failures caused by fire hazards and material degradation, the integration of low-dimensional nanomaterials into polymer coatings has emerged as a crucial safety measure. When engineered at the nanoscale, these materials exhibit robust properties that significantly enhance performance in specialized applications. This review provides a comprehensive analysis of low-dimensional nanomaterials and their role in improving the flame retardancy and corrosion resistance of polymer composites. Key low-dimensional nanomaterials, including nanoparticles (NPs), nanoclusters, quantum dots (QDs), layered double hydroxide (LDH), graphitic carbon nitride (g-C3N4), graphene derivatives (e.g., GO, rGO), molybdenum disulfide (MoS2), nanowires and carbon nanotubes (CNTs), have demonstrated effectiveness upon reinforcement in polymer matrices by strengthening nanocomposite coatings against fire and deterioration. These nanomaterials enhance structural integrity by increasing thermal stability, enhancing flame resistance and promoting char layer formation during combustion. By forming barrier layers, they prevent the substrate from the infiltration of corrosive agents such as water, oxygen and chlorine. Furthermore, nanomaterials such as silica (SiO2), alumina (Al2O3), zirconia (ZrO2), zinc oxide (ZnO), and titania (TiO2) have also been incorporated into polymers to enhance the protective features. This comprehensive review highlights the current progress of low-dimensional nanomaterials for flame retardation and corrosion protection by demonstrating their underlying mechanisms and multifunctional capabilities in improving the protection and endurance of polymer-based systems. © 2025 Elsevier B.V.

关键词： Corrosion resistant coatings

来源：评论

学校读者我要写书评

暂无评论

Periodic Silicon Metasurfaces for High Performance Structural Color

Periodic Silicon Metasurfaces for High Performance Structura...

引用

2024 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2024

作者： Ma, Zhihui Wang, Lu Qiao, Zhongliang Dong, Litong Liu, Mengnan Fayomi, Ojo S. Tian, Liguo Li, Dayou Chen, Yujuan Changchun University of Science and Technology Research Institute Chongqing China Changchun University of Science and Technology International Research Centre for Nano Handing and Manufacturing of China Zhongshan China Changchun University of Science and Technology International Research Centre for Nano Handing and Manufacturing of China Changchun China Hainan Normal University Key Laboratory of Laser Technology and Optoelectronic Functional Materials of Hainan Province School of Physics and Electronic Engineering Haikou China Bells University of Technology Department of Mechanical and Biomedical Engineering Ogun State Ota Nigeria University of Bedfordshire Irac & JR3CN LutonLU1 3J United Kingdom

ISBN: (纸本)9798350362107

Structural color can be divided into plasmonic structural color and all-dielectric structural color, and dielectric structural color is becoming the first choice for making structural color because of its high color saturation and low cost. In this work, a large area of silicon-based structural color was fabricated using the Taber effect based on laser interference theory from commercial silicon-on-insulator (SOI) substrates on the basis of FDTD simulation. Consequently, periodic grating silicon metasurfaces with a width of 106 nm can achieve a maximum spectral reflectance of up to 91% at 650-700 nm, which can produce bright red structural color, providing a reliable way for the fabrication of low cost and high performance dielectric structural color at low cost. © 2024 IEEE.

关键词： Silicon on insulator technology

来源：评论

学校读者我要写书评

暂无评论

mechanical Characterization of Brain Tissue: Experimental Techniques, Human Testing Considerations, and Perspectives

arXiv

引用

arXiv 2025年

作者： Hou, Jixin Jiang, Kun Ramanathan, Arunachalam Kumar, Abhishek Saji Zhang, Wei Zhao, Lin Wu, Taotao Pidaparti, Ramana Zhu, Dajiang Li, Gang Song, Kenan Liu, Tianming Razavi, Mir Jalil Kuhl, Ellen Wang, Xianqiao School of Environmental Civil Agricultural and Mechanical Engineering College of Engineering University of Georgia AthensGA30602 United States Department of Material Science School for Engineering of Matter Transport and Energy Ira A. Fulton Schools of Engineering Arizona State University TempeAZ85287 United States School of Computer and Cyber Sciences Augusta University GA30602 United States School of Computing The University of Georgia AthensGA30602 United States School of Chemical Materials and Biomedical Engineering College of Engineering University of Georgia AthensGA30602 United States Department of Computer Science and Engineering The University of Texas at Arlington ArlingtonTX76019 United States Department of Radiology Biomedical Research Imaging Center The University of North Carolina Chapel HillNC27599 United States Department of Mechanical Engineering SUNY Binghamton University BinghamtonNY13902 United States Department of Mechanical Engineering Stanford University StanfordCA94305 United States

Understanding the mechanical behavior of brain tissue is crucial for advancing both fundamental neuroscience and clinical applications. Yet, accurately measuring these properties remains challenging due to the brain’s unique mechanical attributes and complex anatomical structures. This review provides a comprehensive overview of commonly used techniques for characterizing brain tissue mechanical properties, covering both invasive methods—such as atomic force microscopy, indentation, axial mechanical testing, and oscillatory shear testing—and noninvasive approaches like magnetic resonance elastography and ultrasound elastography. Each technique is evaluated in terms of working principles, applicability, representative studies, and experimental limitations. We further summarize existing publications that have used these techniques to measure human brain tissue mechanical properties. With a primary focus on invasive studies, we systematically compare their sample preparation, testing conditions, reported mechanical parameters, and modeling strategies. Key sensitivity factors influencing testing outcomes (e.g., sample size, anatomical location, strain rate, temperature, conditioning, and postmortem interval) are also discussed. Additionally, selected noninvasive studies are reviewed to assess their potential for in vivo characterization. A comparative discussion between invasive and noninvasive methods, as well as in vivo versus ex vivo testing, is included. This review aims to offer practical guidance for researchers and clinicians in selecting appropriate mechanical testing approaches and contributes a curated dataset to support constitutive modeling of human brain tissue. © 2025, CC BY-NC-ND.

关键词： Strain rate

来源：评论

学校读者我要写书评

暂无评论

The first observation of Ni nanoparticle exsolution from YSZ and its application for dry reforming of methane

引用

materials Reports(Energy) 2021年第2期1卷 70-76页

作者： Sangwook Joo Chaehyun Lim Ohhun Kwon Linjuan Zhang Jing Zhou Jian-Qiang Wang Hu Young Jeong Yong-wook Sin Sihyuk Choi Guntae Kim Department of Energy Engineering Ulsan National Institute of Science and Technology(UNIST)Ulsan698-798Republic of Korea Key Laboratory of Interfacial Physics and Technology Shanghai Institute of Applied PhysicsChinese Academy of SciencesShanghai201800PR China UNIST Central Research Facilities and School of Materials Science and Engineering Ulsan National Institute of Science and Technology(UNIST)Ulsan44919Republic of Korea Materials&Devices Advanced Research Institute LG ElectronicsSeoulRepublic of Korea Department of Mechanical Engineering Kumoh National Institute of TechnologyGyeongbuk39177Republic of Korea

Ni nanocatalysts produced through exsolution have shown strong resistance to particle sintering and carbon coking in a beneficial dry reforming of methane(DRM)reaction utilizing greenhouse gases such as CH_(4)and CO_(2).However,most of the existing oxide supports for exsolution have been limited to perovskite oxide,while studies on fluorite support have been rarely conducted due to the limited solubility despite its excellent redox *** we demonstrate that 3 mol%Ni can be successfully dissolved into the yttria-stabilized zirconia(YSZ)lattice and be further exsolved to the surface in a reducing *** YSZ decorated with exsolved Ni nanoparticles shows enhanced catalytic activity for DRM reaction compared to the conventional cermet type of bulk ***,the catalytic activity is extremely stable for about 300 h without significant *** results suggest that the YSZ-based fluorite structure can be utilized as one of the support oxides for exsolution.

关键词： Dry forming of methane Exsolution Yttria-stabilized zirconia(YSZ) Ni nanoparticle

来源：评论

学校读者我要写书评

暂无评论

Exploring single atom catalysts of transition-metal doped phosphorus carbide monolayer for HER:A first-principles study

引用

Journal of Energy Chemistry 2021年第1期30卷 155-162,I0006页

作者： Dachang Chen Zhiwen Chen Xiaoxing Zhang Zhuole Lu Song Xiao Beibei Xiao Chandra Veer Singh School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072HubeiChina Department of Materials Science and Engineering University of TorontoToronto M5S 3E4OntarioCanada Department of Mechanical and Industrial Engineering University of TorontoToronto M5S 3G8OntarioCanada Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Hubei University of TechnologyWuhan 430068HubeiChina School of Energy and Power Engineering Jiangsu University of Science and TechnologyZhenjiang 212003JiangsuChina

Hydrogen has been identified as one of the most promising sustainable and clean energy. Developing hydrogen evolution reaction(HER) catalyst with high activity is essential for satisfying the future requirements. Considering novel advantages of two-dimensional materials and high catalytic activity of atomic transition metal, in this study, using density functional theory calculation, the HER on single transitionmetal(23 different TM atoms) doped phosphorus carbide monolayer(α-PC) has been investigated. The Volmer–Tafel and Volmer–Heyrovsky reaction mechanisms, and the stability of the most promising HER catalyst are also included. The results show that Ir-αPC with high physical and thermal stability has the most optimal value of Gibbs free adsorption energy for H atom. The relationship of d band center and the HER activity shows a volcano-like curve. The calculation of reaction energy barrier indicates that the Volmer-Heyrovsky step is more favorable than the Volmer-Tafel step.

关键词： Hydrogen evolution reaction Phosphorus carbide monolayer Transition-metal doping Density functional theory

来源：评论

学校读者我要写书评

暂无评论

Towards roll-to-roll manufacturing of carbon nanotube based multiscale composites using electrophoretic deposition

Towards roll-to-roll manufacturing of carbon nanotube based ...

引用

SAMPE 2021 Conference and Exhibition

作者： Sung, Dae Han Doshi, Sagar M. Rider, Andrew N. Thostenson, Erik T. Department of Mechanical Engineering University of Delaware NewarkDE United States Center for Composite Materials University of Delaware NewarkDE United States Department of Materials Science and Engineering University of Delaware NewarkDE United States Defence Science and Technology Group Fisherman's Bend VIC Australia

ISBN: (纸本)9781934551394

Multiscale hybrid composites, where traditional fiber reinforcements are hybridized nanoscale reinforcements, have been investigated for the development of functional intelligent materials. The internal, hierarchical, structure of the composites can be tailored during the processing stage. Electrophoretic deposition (EPD) is a processing technique that can directly integrate the nanosized particles within fiber bundles. We have demonstrated that EPD has capability tailor the thickness and morphology of carbon nanotube films on a variety of conductive and non-conductive fabrics. This can be accomplished by controlling the processing parameters such as the strength of electric field, the concentration of dispersion and deposition time. One key advantage of EPD is the potential to scale-up the process for continuous production because it is performed at room temperature and does not use toxic chemicals. Along with active research and development of multifunctional composites and their commercialization, the needs for industrial-scale manufacturing of composite materials has been growing. This research focuses on the fundamental understanding of EPD process in order to design a continuous manufacturing system. The model system for this study is composed of an aqueous dispersion of carbon nanotubes functionalized with a cationic polymer, polyethyleneimine (PEI). A series of experiments are designed to investigate the influence of electrode geometry and configuration on deposition yield with the ultimate goal of establishing a highly efficient roll-to-roll manufacturing system. © 2021 Soc. for the Advancement of Material and Process engineering. All rights reserved.

关键词： Carbon nanotubes

来源：评论

学校读者我要写书评

暂无评论

Densification behaviors of hydroxyapatite/pectin bio-ceramics

引用

materials Today: Proceedings 2023年

作者： Teoh, M.W. Ng, C.K. Lee, Sara K.Y. Ramesh, S. Ting, C.H. Chuah, Y.D. Lim, Ignatius Y. Tan, C.Y. Sutharsini, U. Centre for Advanced Materials Department of Materials Engineering Faculty of Engineering and Technology Tunku Abdul Rahman University of Management and Technology 53300 Kuala Lumpur Malaysia Centre of Systematic Innovation Research Department of Mechanical Engineering Faculty of Engineering and Technology Tunku Abdul Rahman University of Management and Technology 53300 Kuala Lumpur Malaysia Centre of Advanced Manufacturing and Material Processing Department of Mechanical Engineering Faculty of Engineering University of Malaya 50603 Kuala Lumpur Malaysia Universiti Tenaga Nasional Putrajaya Campus Jalan IKRAM-UNITEN 43000 Kajang Selangor Malaysia Huanghe Jiaotong University Zhengzhou 454950 Henan Province P.R. China of Engineering Universiti Teknologi Brunei Tungku Highway Gadong BE1410 Brunei Darussalam Department of Mechanical and Materials & Manufacturing Engineering Lee Kong Chian Faculty of Engineering and Science Universiti Tunku Abdul Rahman Jalan Sungai Long Bandar Sungai Long Cheras Kajang 43000 Malaysia Department of Mechanical Material and Manufacturing Engineering Faculty of Engineering University of Nottingham 43500 Semenyih Selangor Darul Ehsan Malaysia Department of Physics University of Jaffna Jaffna JA 40000 Sri Lanka

Hydroxyapatite (HA) is a popular biomaterial in making implants and bone grafts owing to its high biocompatibility and close resemblance to human bone. This study aims to determine the physiochemical and mechanical properties of HA derived from chicken bones (CHA) through calcination. Microwave irradiation-extracted pectin was ball-milled with CHA. Pure CHA and CHA added with pectin (CHAP) were sintered via conventional and two-step sintering. FTIR and XRD peaks confirmed the presence of HA and β-tricalcium phosphate in CHA and CHAP. SEM image of CHA and CHAP powder exhibited 0.5-0.625 μm rod-shaped and spherical particles, with 2-8 μm grains after sintering. Ca/P ratios of CHA and CHAP fell between 1.47 and 1.85. The highest relative density and hardness of sintered samples achieved are 96.66% and 4.76 GPa, respectively. This proves that the calcination of chicken bones can produce HA which is suitable for biomedical applications. © 2023 Elsevier Ltd. All rights reserved.

关键词： Hydroxyapatite

来源：评论

学校读者我要写书评

暂无评论

Coordination-regulated epitaxial growth for 2D/3D perovskite vertical alignment heterostructure

引用

science Bulletin 2024年第20期69卷 3201-3205页

作者： Guoxiang Zhao Yuan Chen Shan Cong Lutao Li Chen Wang Xinyu Du Ruirui Liu Jing Lu Yu Liu Gaoyuan Chen Sihan Zhang Liya Zhang Mark Hermann Rummeli Guifu Zou College of Energy Soochow Institute for Energy and Materials Innovationsand Key Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu ProvinceSoochow UniversitySuzhou 215123China School of Advanced Energy Sun Yat-Sen UniversityShenzhen 518107China College of Mechanical and Electronic Engineering Shandong University of Science and TechnologyQingdao 266590China Center for Electron Microscopy Institute for New Energy Materials and Low-Carbon TechnologiesSchool of Materials Science and EngineeringTianjin University of TechnologyTianjin 300384China Department of Fundamental Research Weiqiao Lightweight Research Center at SoochowSuzhou 215021China Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application School of Physical Science and TechnologySuzhou University of Science and TechnologySuzhou 215009China Institute of Environmental Technology VSB-Technical University of OstravaOstrava 70833Czech Republic Institute for Materials Chemistry IFW DresdenDresden 01069Germany

Metal halide perovskite heterostructures that combine twodimensional(2D)and three-dimensional(3D)perovskites with desirable charge and exciton behaviors at heterointerfaces have attracted much attention recently[1].The integration of 2D and3D perovskites combines the commendable efficiency with the exceptional stability[2].Unfortunately,the electrically insulating nature of bulky organic cations in 2D perovskites impedes the charge transport between the heterointerface[3].

关键词： perovskite combine charge

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：