检索结果-内蒙古大学图书馆

A 3D interconnected CNT-RGO hybrid networks for Al matrix composites: Unveiling a new pathway to superior strength-ductility balance

引用

Composites Part B: engineering 2025年 305卷

作者： Behzad Sadeghi Pasquale Cavaliere Mohammad Velashjerdi Luciano Lamberti Catalin Pruncu Amirhossein Ebrahimzadeh Esfahani Jürgen Eckert Erich Schmid Institute of Materials Science Austrian Academy of Sciences Jahnstraße 12 A-8700 Leoben Austria Department of Innovation Engineering University of Salento Via per Arnesano 73100 Lecce Italy Process Metallurgy Research Unit Faculty of Technology University of Oulu 90570 Oulu Finland Department of Material Science and Engineering Faculty of Engineering Arak University Arak 38156-8-8349 Iran Dipartimento di Meccanica Matematica e Management Politecnico di Bari 70125 Bari Italy Department of Materials Engineering Tarbiat Modares University P.O. Box 4838-141 Tehran Iran Department of Materials Science Montanuniversität Leoben Jahnstraße 12 A-8700 Leoben Austria

Achieving a balance between strength and ductility in Al matrix composites (AMCs) remains a persistent challenge due to issues such as agglomeration of reinforcements and weak interfacial bonding. This study addresses these limitations by incorporating a 1.5 wt% hybrid nanocarbon reinforcement consisting of carbon nanotubes (CNTs) and reduced graphene oxide (RGO) into an Al matrix, denoted as (CNT-RGO)1.5 wt%/Al, using a flake design strategy. A systematic flake dispersion process, combining low-speed ball milling (BM), aqueous PVA-assisted slurry mixing, and extrusion, is employed to achieve a uniform distribution of CNT-RGO hybrids forming a robust, interconnected 3D network. The hybrid reinforcement enhances load transfer via mechanical anchoring by CNTs and planar bridging by RGO sheets, significantly improving interfacial bonding. Microstructural analysis reveals refined grains (∼550 nm), high dislocation density (∼7.4 × 10 14 m −2 ), and a moderate Al 4 C 3 content (∼1.62 %), all contributing to the observed properties. As a result, the (CNT-RGO)/Al composite exhibits a superior balance between tensile strength (460 ± 7 MPa) and fracture elongation (31.6 ± 3 %), outperforming single-reinforced counterparts and unreinforced Al by ∼165 % in strength and ∼19 % in ductility. Finite element simulations confirm the effectiveness of the 3D hybrid network in load transfer and mechanical enhancement. This study demonstrates the importance of hybrid reinforcement configuration to almost fully utilize the superior properties of different reinforcements and provides a cost-effective and feasible approach for the development of next generation high-performance AMCs.

关键词： Synergistic reinforcement Hybrid network Al matrix composite (AMC) Carbon nanotubes (CNTs) Graphene oxide (GO) Strength-ductility balance

来源：评论

学校读者我要写书评

暂无评论

The oil sorption behaviour investigation of Kapok (Ceiba pentandra (L.)) fiber

引用

AIP Conference Proceedings 2024年第1期2925卷

作者： M. Afiq Daniel Raja Adibah Raja Ahmad R. Hussin M. Adam Bukhori Hamidon Z. Harun M. Z. Yunos A. R. Ainuddin Department of Mechanical Engineering Technology Faculty of Engineering Technology Universiti Tun Hussein Onn Malaysia Hub Pendidikan Pagoh KM 1 Jalan Panchor 84600 Panchor Johor Malaysia Faculty of Mechanical and Manufacturing Engineering Universiti Tun Hussein Onn Malaysia Parit Raja Batu Pahat 86400 Johor Malaysia Integrated Material and Process Advanced Manufacturing & Materials Centre (AMMC) Faculty of Mechanical and Manufacturing Engineering Universiti Tun Hussein Onn Malaysia Parit Raja 86400 Batu Pahat Johor Malaysia Nano Structure and Surface Modification (NanoSurf) Faculty of Mechanical and Manufacturing Engineering Universiti Tun Hussein Onn Batu Pahat Johor Malaysia

As oil exploration and production activities have risen globally, water contamination from oil spills and the discharge of other oily wastewaters has emerged as one of the primary environmental concerns. Thus, Kapok fiber is considered in this study as it is known as one of the most effective method for cleaning up and collecting oil spills where Kapok is a natural cellulosic fiber with unique characteristics. A critical investigation was conducted to study the potential of kapok fiber as sorbent material, also analyze the surface properties of kapok fiber for the ability of kapok fiber to absorb oil and investigate the sorption mechanisms of kapok fiber. Therefore, the surface properties of kapok fiber were analyzed using SEM, FTIR, TGA and contact angle. To investigate the selectivity nature and the sorption capacity of 5 g kapok fiber, different types of oil and different apparent viscosity were used. The types of oil used are gear oil (low viscosity), vegetable oil-based cooking oil (medium viscosity) and waste oil (high viscosity). Kapok fiber was able to absorb all types of oil, with wasted oil absorbing the most about 17.88 g.g−1. Scanning electron microscopy (SEM) was used to examine the morphology of raw kapok fiber. In this study, kapok fiber was shown to have a porous hollow lumen structure and a waxy coating on the surface. Other than that, for the contact angle analysis, kapok fiber had high water contact angle up to 130˚. The water droplet was stood on the kapok fibers surfaces before and after absorption with contact angles ranging from 130˚ to 145˚. In contrast, the oil droplet had disappeared from the surfaces of kapok fiber within a few seconds.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Modulation of Mo-Fe-C sites over mesoscale diffusion-enhanced hollow sub-micro reactors toward boosted electrochemical water oxidation

Research Square

引用

Research Square 2021年

作者： Gong, Feilong Liu, Mengmeng Gong, Lihua Ye, Sheng Jiang, Qike Zeng, Guang Zhang, Xiaoli Peng, Zhikun Zhang, Yonghui Fang, Shaoming Liu, Jian Key Laboratory of Surface and Interface Science and Technology of Henan Province College of Material and Chemical Engineering Zhengzhou University of Light Industry Henan Zhengzhou450001 China State Key Laboratory of Catalysis Dalian Institute of Chemical Physics Chinese Academy of Sciences Liaoning Dalian116023 China DICP-Surrey Joint Centre for Future Materials Department of Chemical and Process Engineering Advanced Technology Institute University of Surrey Guildford SurreyGU2 7XH United Kingdom Department of Applied Chemistry Anhui Agricultural University Hefei230036 China Henan Institutes of Advanced Technology State Centre for International Cooperation on Designer Low-Carbon & Environmental Materials School of Materials Science and Engineering Zhengzhou University Zhengzhou450001 China

Simultaneously engineering the mesoscale mass transfer and surface reactions on the electrode can promote the kinetics of oxygen evolution reaction (OER). Herein, we report the simultaneously modulation of the mesoscale diffusion and Mo-Fe-C sites formation over monodispersed hollow Fe@MoS2-C sub-micro reactors for boosted OER performance. According to finite element simulation and analysis, the hollow nanostructured MoS2-C host possessed much better mesoscale diffusion properties than its solid and yolk–shell counterparts. Notably, the sulfur vacancies and intercalated carbon in the sub-micro reactor offered a unique microenvironment for Fe anchoring on Mo-Fe-C sites. The stability and activity of the sites were revealed by theoretical calculations. The resultant Fe@MoS2-C presented an OER overpotential of 194 mV, which is much better than those of the Fe-based single-atom catalysts reported to data. Our monodispersed sub-micro reactor combined the advantage of mesoscale diffusion and single-atom sites, and it may have broad prospects for complex electrocatalytic reactions. © 2021, CC BY.

关键词： Molybdenum compounds

来源：评论

学校读者我要写书评

暂无评论

BuRNN: Buffer Region Neural Network Approach for Polarizable-Embedding Neural Network / Molecular Mechanics Simulations

arXiv

引用

arXiv 2021年

作者： Lier, Bettina Poliak, Peter Marquetand, Philipp Westermayr, Julia Oostenbrink, Chris Institute for Molecular Modeling and Simulation Department of Material Sciences and Process Engineering University of Natural Resources and Life Sciences Vienna. Muthgasse 18 Vienna1190 Austria Department of Chemical Physics Institute of Physical Chemistry and Chemical Physics Faculty of Chemical and Food Technology Slovak University of Technology in Bratislava Radlinského 9 Bratislava812 37 Slovakia Institute of Theoretical Chemistry University of Vienna Währingerstraße 17 Vienna1090 Austria Department of Chemistry University of Warwick Gibbet Hill Road CoventryCV4 7AL United Kingdom

Hybrid quantum mechanics/molecular mechanics (QM/MM) simulations have advanced the field of computational chemistry tremendously. However, they require the partitioning of a system into two different regions that are treated at different levels of theory, which can cause artefacts at the interface. Furthermore, they are still limited by high computational costs of quantum chemical calculations. In this work, we develop BuRNN, an alternative approach to existing QM/MM schemes, which introduces a buffer region that experiences full electronic polarization by the inner QM region to minimize artefacts. The interactions between the QM and the buffer region are described by deep neural networks (NNs), which leads to high computational efficiency of this hybrid NN/MM scheme while retaining quantum chemical accuracy. We demonstrate the BuRNN approach by performing NN/MM simulations of the hexa-aqua iron complex. © 2021, CC BY.

关键词： Molecular modeling

来源：评论

学校读者我要写书评

暂无评论

Poly(ionic liquid)-Armored MXene Membrane: Interlayer engineering for Facilitated Water Transport

引用

Angewandte Chemie 2022年第27期134卷

作者： Ming Yi Mi Wang Prof. Yan Wang Prof. Yanlei Wang Jian Chang Atefeh Khorsand Kheirabad Hongyan He Prof. Jiayin Yuan Dr. Miao Zhang Key Laboratory of Material Chemistry for Energy Conversion and Storage Huazhong University of Science and Technology Wuhan 430074 P. R. China Hubei Key Laboratory of Material Chemistry and Service Failure School of Chemistry and Chemical Engineering Huazhong University of Science and Technology Wuhan 430074 P. R. China Department of Materials and Environmental Chemistry Stockholm University Stockholm 10691 Sweden Beijing Key Laboratory of Ionic Liquids Clean Process State Key Laboratory of Multiphase Complex Systems Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 P. R. China

Two-dimensional (2D) MXene-based lamellar membranes bearing interlayers of tunable hydrophilicity are promising for high-performance water purification. The current challenge lies in how to engineer the pore wall's surface properties in the subnano-confinement environment while ensuring its high selectivity. Herein, poly(ionic liquid)s, equipped with readily exchangeable counter anions, succeeded as a hydrophilicity modifier in addressing this issue. Lamellar membranes bearing nanochannels of tailorable hydrophilicity are constructed via assembly of poly(ionic liquid)-armored MXene nanosheets. By shifting the interlayer galleries from being hydrophilic to more hydrophobic via simple anion exchange, the MXene membrane performs drastically better for both the permeance (by two-fold improvement) and rejection (≈99 %). This facile method opens up a new avenue for building 2D material-based membranes of enhancing molecular transport and sieving effect.

关键词： Anion Exchange Assembly MXene Nanochannel Hydrophilicity Poly(Ionic Liquid)

来源：评论

学校读者我要写书评

暂无评论

Graphene-based membranes for CO2 separation

引用

materials Science for Energy Technologies 2019年第1期2卷 83-88页

作者： Ali, Akbar Pothu, Ramyakrishna Siyal, Sajid Hussain Phulpoto, Shahnawaz Sajjad, Muhammad Thebo, Khalid Hussain University of CAS Beijing100049 China CAS State Key Laboratory of Multi-phase Complex Systems Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China College of Chemistry and Chemical Engineering Hunan University Changsha410082 China Department of Metallurgy and Material Engineering Dawood University of Engineering and Technology Karachi Pakistan Department of Physics and Electronics Shah Abdul Latif University Khairpur Mir's Sindh Pakistan Department of Physics Kohat University of Science and Technology KohatKhyber Pakhtunkhwa26000 Pakistan Dr. M. A. Kazi Institute of Chemistry University of Sindh JamshoroSindh Pakistan

Increasing concentration of carbon dioxide (CO2) in the atmosphere is responsible for global warming in the world. Up to date, many technologies have been investigated to reduce the concentration of CO2 in the environment but no technology has got significant successes yet. Recently graphene based membrane has attracted increasing attention for their potential applications in gas separation. In this review, we focus on separation of CO2 from gas mixtures through graphene-based membranes. More specifically, the separation of gas mixtures such as CO2/H2, CO2/CH4, CO2/N2 and CO2/O2 which have similar compositions in flue gas treatment, hydrogen purification and natural gas purification will be discussed. The advantages and disadvantages of these membranes will also be part of discussion and finally, the review ends with several recommendations and suggestions on the future prospect for CO2 separation. © 2018

关键词： Carbon dioxide

来源：评论

学校读者我要写书评

暂无评论

Preparation and application of teamed boronate affinity magnetic protein imprinted polymer: Pollutants removal, filter resistance improvement and synergistic glycoprotein recovery under physiological pH in sequencing batch reactors

引用

Chemical engineering Journal 2025年 518卷

作者： Qiming Zhang Jiajun Hu Chen Yang Wenshan Guo Jiaxiang Liu Nan Liu Liang Wang Huu Hao Ngo Jixiang Li Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai 200120 China University of Chinese Academy of Sciences Beijing 100049 China Shanghai Key Laboratory of Bio-Energy Crops School of Life Sciences Shanghai University Shanghai 200444 China School of Civil and Environmental Engineering University of Technology Sydney Sydney NWS 2007 Australia Collaborative Innovation Center of Environmental Pollution Control and Ecological Restoration of Henan Province Department of Material and Chemical Engineering Zhengzhou University of Light Industry Zhengzhou 450001 China State Key Laboratory of Separation Membrane and Membrane Process School of Environmental Science and Engineering Tiangong University Tianjin 300387 China

In this study, a teamed boronate affinity (TBA) strategy was employed to prepare a novel low p K a glycoprotein magnetic molecularly imprinted polymer (MMIP-TBA) with 3-Aminophenylboronic acid and 1,6-hexanediamine as precursors for improving the performance of sequencing batch reactors (SBRs) under physiological conditions (pH = 7.4). The effects of MMIP-TBA on pollutants removal, filter resistance improvement and synergistic glycoprotein recovery were comprehensively investigated in SBRs, and the mechanisms were further explained by density functional theory (DFT) and microbial community analysis. The adsorption tests indicated that the MMIP-TBA retained high adsorption capacity (201 mg·g −1 ), excellent specificity (imprinting factor, IF = 5.74) on ovalbumin, and showed the desired selectivity (selectivity factor, SF BSA = 4.52, SF Lyz = 2.44, SF BHb = 1.86) on competing proteins. Also, the MMIP-TBA showed a remarkable recovery ability (75 mg·g −1 ) of glycoprotein-type substances in soluble microbial products (SMPs) derived from SBRs. Moreover, the adsorption process is a monolayer chemical adsorption and is thermodynamically spontaneous (△G Θ = -13.58 kJ·mol −1 ). DFT calculations elucidated that the B N bond was responsible for specific adsorption of TBA with 1.2-cis diol. The microbial community analysis suggested that the MMIP-TBA inhibited the colonization of biofouling bacteria thereby reducing the SMP production. Consequently, the specific filtration resistance was reduced by 30.6 % with slight improvement on pollutants removal. Also, the glycoprotein could be synergistically recovered. The improvement of SBRs performance by MMIP-TBA may be aroused by the specific adsorption and microbial regulation in SBRs. These findings provided that the MMIP-TBA had great potential in improving performance for biological systems under physiological conditions.

关键词： Batch reactors

来源：评论

学校读者我要写书评

暂无评论

Cross-modality transfer for DED-LB/M: AI-based prediction of schlieren phenomena from coaxial imaging

Additive Manufacturing Letters

引用

Additive Manufacturing Letters 2025年

作者： Benedikt Brandau João Sousa Rico Hemschik Frank Brueckner Alexander F.H. Kaplan Luleå University of Technology Department of Engineering Sciences and Mathematics 97187 Luleå Sweden JENOPTIK Automatisierungstechnik GmbH Process Development Konrad-Zuse-Straße 6 07745 Jena Germany Institute of Science and Innovation in Mechanical and Industrial Engineering (INEGI) R. Dr. Roberto Frias 400 4200-465 Porto Portugal Associate Laboratory for Energy Transports and Aerospace (LAETA) R. Dr. Roberto Frias 400 4200-465 Porto Portugal Faculty of Engineering of the University of Porto (FEUP) R. Dr. Roberto Frias 400 4200-465 Porto Portugal. LIACC Fraunhofer Institute for Material and Beam Technology IWS Winterbergstraße 28 01277 Dresden Germany

Real-time process monitoring is essential for ensuring stability and defect control in directed energy deposition - laser beam/metal (DED-LB/M). Schlieren imaging has proven to be a valuable tool for detecting refractive index variations in the process zone, providing insights into gas flow behaviour, shielding gas efficiency and process plume dynamics. However, schlieren imaging typically requires specialized optical setups, making integration into industrial systems challenging. This study explores an artificial intelligence-driven cross-modality transfer approach that enables the prediction of schlieren-induced refractive index variations from coaxial imaging data, eliminating the need for a dedicated schlieren setup. A background-oriented schlieren system was used to capture reference data, while a coaxial camera recorded the melt pool and surrounding process zone during DED-LB/M. A machine learning model was trained on the combined dataset, establishing correlations between schlieren activity and intensity variations in the coaxial images. The model successfully predicted schlieren-induced disturbances, allowing for the indirect detection of gas flow instabilities and shielding gas deficiencies. The results demonstrate that artificial intelligence-based analysis of coaxial imaging can provide schlieren-equivalent process information, making it possible to monitor refractive index variations, detect process deviations and improve defect prediction in real time. This approach enhances process monitoring capabilities in DED-LB/M, enabling cost-effective, scalable and easily integrable monitoring solutions for industrial applications.

关键词： Coaxial Imaging Schlieren Diagnostics Machine Learning Laser process Monitoring

来源：评论

学校读者我要写书评

暂无评论

Correction to: Microstructure and Thickness Effects on Impact Behavior and Separation Formation in X70 Pipeline Steel

引用

JOM 2021年第6期73卷 1987-1987页

作者： Mitchell, Emily B. Lucon, Enrico Collins, Laurie E. Clarke, Amy J. Clarke, Kester D. Department of Material and Metallurgical Engineering Colorado School of Mines Golden USA Applied Chemicals and Materials Division National Institute of Standards and Technology Boulder USA Process and Product Development EVRAZ North America Regina Canada

A correction to this paper has been published: https://***/10.1007/s11837-021-04663-5

关键词：

来源：评论

学校读者我要写书评

暂无评论

Evaluating the effect of ZnO structure on electrical properties using capacitive sensor

引用

AIP Conference Proceedings 2023年第1期2538卷

作者： Amalia Sholehah Rizki Ganiharto Nurul Huda Mahfudz Al Huda Nofrijon Sofyan Akhmad Herman Yuwono Brian Yuliarto Advanced Material and Tomography Laboratory Universitas Sultan Ageng Tirtayasa Gedung Center of Excellence (CoE) Petrokimia 2 Lt. 4 Jl. Jenderal Sudirman Km 3 Cilegon 42435 Indonesia Department of Metallurgical Engineering Faculty of Engineering Universitas Sultan Ageng Tirtayasa Jl. Jenderal Sudirman Km 3 Cilegon 42435 Indonesia Center of Non-Destructive Testing and Process Imaging CTech Laboratories EdWar Technology Jl. Sutera Kavling Spektra Blok 23 BC No 10 – 12 Tangerang Selatan 15325 Indonesia Department of Metallurgical and Materials Engineering Faculty of Engineering Universitas Indonesia Kampus Baru Universitas Indonesia Depok 16424 Indonesia Department of Engineering Physics Faculty of Industrial Technology Institut Teknologi Bandung Gedung TP Rachmat (Labtek VI) Jl. Ganesa No.10 Bandung 40132 Indonesia

Capacitive sensor works based on capacitive methods and serves to detect changes in the composition of dielectric materials by determining the capacitance value and dielectric constant. This type of sensor has advantages in convenient manufacturing process, a simple working mechanism, as well as extensive applications in various fields. In this study, capacitive sensors were used to characterize the electrical properties of materials that have several structures. The dielectric material samples used are bulk ZnO, ZnO synthesized by chemical bath deposition method (CBD), and synthetic ZnO results from French process. The sensors were made by a parallel plate method using two copper plates as capacitors. The sensors were designed in 2x4 cm size, with the distance between the electrodes being 1 and 2 mm. The results showed that capacitive sensors proved to be able to distinguish capacitance values and electrical permittivity of ZnO samples. From the experiment, it was known that ZnO with a rod structure synthesized through the CBD method gave the highest capacitance and electrical permittivity values compared to other ZnO samples.

关键词：

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：