检索结果-内蒙古大学图书馆

Interface construction of micro/nano hierarchical structure to enhance the tribological performance of carbon fabric/phenolic composite

引用

WEAR 2023年 534卷

作者： Chen, Beibei Tong, Yang Yang, Bi Li, Jiaye Dong, Wenquan Zhang, Lin Pang, Xianjuan Zhang, Kan Jiangsu Univ Sch Mat Sci & Engn Inst Adv Mat Zhenjiang 212013 Peoples R China Univ Tokyo Grad Sch Engn Dept Syst Innovat Tokyo 1138656 Japan Tsinghua Univ Dept Mech Engn State Key Lab Tribol Adv Equipment Beijing 100084 Peoples R China Henan Univ Sci & Technol Natl United Engn Lab Adv Bearing Tribol Luoyang 471023 Peoples R China

Carbon fabric (CF)/polymer composites are potential lubricating materials, which could be used for plane bearing lining, sliding guide rails, and other moving parts of advanced equipment. But the low bonding strength at the interface between the carbon fibers and the polymer matrix is a great challenge to developing high-performance CF/polymer composites. In this study, the CF is coated with an active transition layer using high-adhesion polydopamine (PDA) as an ideal plate for the TiO2 micro/nano hierarchical structure to construct CF-PDA-TiO2. This hierarchical structure is made of micro-bundles, each composed of numerous nanorods, and decorated on CF surface densely and uniformly. The interfacial combination of CF-PDA-TiO2 and phenolic resin (PF) shows excellent performance, and the interlaminar shear strength (ILSS) of CF-PDA-TiO2/PF is improved from 10.48 MPa to 37.22 MPa, attributed to the improved interfacial physicochemical interaction. Furthermore, the tribological performance of CF-PDA-TiO2/PF with size of Phi 30 mmx5 mm is characterized by sliding against 440C stainless steel ball with diameter of 8 mm using ball-on-disc sliding wear tester (MPX-3). The tribological results demonstrate that the friction coefficient and wear rate of CF-PDA-TiO2/PF are reduced by 37.91% and 77.6%, compared to CF/PF. Moreover, the CF-PDA-TiO2/PF maintains low friction coefficient and wear rate under high-load and high-speed sliding conditions. This is mainly because TiO2 nanorod bundles exhibit micro/nano multi-scale interfacial enhancement, promoting stress distribution and micro-cracks deflection etc. Moreover, TiO2 nanorod bundles could promote the formation of a uniform transfer film to decrease friction and wear. This work implies that interface construction of micro/nano hierarchical structure is a promising way to enhance the tribological performance of CF/polymer composites.

关键词： Polymer-matrix composite Carbon fabric Solid lubricants Sliding wear Interface

来源：评论

学校读者我要写书评

暂无评论

A review of basic software for brain-inspired computing

引用

CCF TRANSACTIONS ON HIGH PERFORMANCE COMPUTING 2022年第1期4卷 34-42页

作者： Qu, Peng Yang, Le Zheng, Weimin Zhang, Youhui Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol Dept Comp Sci & Technol Beijing Peoples R China State Key Lab Math Engn & Adv Comp Wuxi Jiangsu Peoples R China

Brain-inspired computing, which is inspired by the information processing procedure and the biophysiological structure of the brain, is believed to have the potential to drive the next wave of computer engineering and provide a promising way for the next generation of artificial intelligence. The basic software for brain-inspired computing is the core link to realize the research goals of brain-inspired computing and build the ecological environment of brain-inspired computing applications. This paper reviews the status of the three major kinds of basic software for brain-inspired computing. Namely, the toolchains for neuromorphic chips, the software simulation frameworks, and the frameworks that integrate spiking neural networks (SNNs) and deep neural networks (DNNs). Afterward, we point out that a "general-purpose" hierarchical and HW/SW decoupled basic software framework would be beneficial to both the (computational) neuroscience and brain-inspired intelligence fields. And the notion "general-purpose" refers to the decoupling of software and hardware and supports the integration of computer science and neuroscience related research.

关键词： Brain-inspired computing Basic software Neuromorphic toolchains SNN simulation Decoupling software and hardware

来源：评论

学校读者我要写书评

暂无评论

Ti6Al4V alloy fabricated by gelcasting based on low-oxygen gel system using hydride-dehydride titanium alloy powders

引用

POWDER technology 2022年 395卷 534-544页

作者： Shao, Yanru Yang, Fang Chen, Cunguang Zhou, Yang He, Xinbo Sui, Yanli Guo, Zhimeng Univ Sci & Technol Beijing Inst Adv Mat & Technol Beijing 100083 Peoples R China Southern Marine Sci & Engn Guangdong Lab Zhuhai Innovat Grp Marine Engn Mat & Corros Control Zhuhai 519082 Peoples R China Univ Sci & Technol Beijing Guangzhou Inst Adv Mat Guangzhou 510330 Peoples R China

Oxygen and carbon impurity residues and low density are the main issues for Ti gelcasting. To overcome these difficulties, this study develops a low-oxygen isoprene (Ip)/polyvinyl butyral (PVB) gel system to achieve Ti gelcasting using hydride-dihydride (HDH) Ti6Al4V powder. Slurries with 48 vol% solid loading content are employed to achieve moulding followed by cold isostatic pressing. During gelcasting, powder particles are held in place by the cross-linking of Ip monomer with PVB as adhesive to maintain shape. After sintering, nearly fully dense (4.38 g/cm(3)) Ti6Al4V alloys with low interstitial contamination (O: 0.356 wt%, C: 0.14 wt%) are successfully fabricated. The samples exhibit acceptable mechanical performance, with ultimate tensile strength of 1062 MPa, yield strength of 987 MPa, and elongation of 8.75%. Typical plastic fracture with river patterns is observed, which is distinctly different from that of HEMA based sample. (C) 2021 Elsevier B.V. All rights reserved.

关键词： Ti6Al4V alloys Low oxygen gel system Solidification mechanism Mechanical performance Interstitial control

来源：评论

学校读者我要写书评

暂无评论

Probabilistic Deep Learning Based on Bayes by Backprop for Remaining Useful Life Prognostics of Consumer Electronics

引用

IEEE Transactions on Consumer Electronics 2024年第1期71卷 839-848页

作者： Wang, Guochao Wang, Yu Li, Baotong Zhang, Bin Xi'an Jiaotong University State Key Laboratory for Manufacturing and Systems Engineering School of Mechanical Engineering Xi'an710049 China University of South Carolina Department of Electrical Engineering ColumbiaSC29208 United States

As a medium of information exchange between the network world and the physical world, the reliability of consumer electronics has been widely concerned by researchers. Maintenance support based on remaining useful life (RUL) prediction is an important means to protect consumer electronics. However, most existing deep learning-based RUL prognostic methods can only perform point prediction of RUL by simply establishing a regression mapping between monitoring data and RUL. The lack of quantifying the uncertainty of prediction and measuring the confidence of the prediction model in decision-making makes these existing methods unreliable to maintenance activities. To this end, this paper proposes a probabilistic deep learning-based RUL prediction method via Bayes by Backprop. In this method, a deep convolutional neural network is integrated with a bidirectional gated recurrent network to explore long-term dependence and nonlinear mapping relationship in degraded time-sequence data. A reparameterization strategy is derived to endow the neural network with varying weights based on Bayesian variational inference to capture epistemic uncertainty in prediction. In addition, 1 norm penalty is used as a constraint of variational loss function to make the network sparse and reduce the computational cost. The effectiveness of the proposed method is verified on hard disk datasets. © 1975-2011 IEEE.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Material design and mechanism study for zinc ion batteries: Applications of density functional theory calculations and molecular dynamic simulations

引用

CHEMICAL engineering JOURNAL 2024年 494卷

作者： Cao, Jianghui Zhao, Fang Yang, Xiaoxuan Yan, Lijing Zhao, Qidong Gao, Liguo Ma, Tingli Ren, Xuefeng Wu, Gang Liu, Anmin Dalian Univ Technol Sch Chem Engn Ocean & Life Sci Panjin 124221 Peoples R China Dalian Univ Technol Leicester Int Inst Panjin 124221 Peoples R China Univ Buffalo State Univ New York Dept Chem & Biol Engn Buffalo NY 14260 USA China Jiliang Univ Dept Mat Sci & Engn Hangzhou 310018 Peoples R China

Zinc ion batteries (ZIBs) are promising candidates for rechargeable energy storage devices due to their high energy density, high safety, and low cost. The theoretical calculation study has substantially helped the understanding of the intrinsic properties of battery materials and the electrochemical reaction mechanism, which are essential for developing the next generation of high-performance battery systems. In this review, we summarized the use of density functional theory (DFT) calculations and molecular dynamic (MD) simulations in the area of ZIBs, including how to utilize computational chemistry to analyze the ion migration path, evaluate battery performance, and search for material features. Together with a theoretical study, we arrived at a result and recommended future paths for the cathode, anode, electrolyte, and additive development in ZIBs. Specifically, contents are the following: anode engineering, additive selection, electrolyte screening, underpotential deposition (UPD), and the development of cathode varieties (such as halogen, V-based, organic, and Mn-based cathodes). We discussed the advantages and disadvantages of computational chemistry, demonstrating its uses in ZIBs research and highlighting its prospective contributions to the materials sciences and ZIBs development. This account promotes future efforts toward developing theoretical and experimental studies of ZIBs and related material science in rechargeable energy storage applications.

关键词： Zinc-ion battery Material design Mechanism Density functional theory Molecular dynamic simulation

来源：评论

学校读者我要写书评

暂无评论

Porous Si-doped flower-like BiOCl with hydrophobic interfaces for efficient CO2-to-formate conversion

引用

SEPARATION AND PURIFICATION technology 2025年 362卷

作者： Zhang, Chao Jiang, Lulu Zhang, Delu Wang, Haipeng Ming, Shujun Gao, Yongsheng Lv, Zhiguo Sun, Fujin Qingdao Univ Sci & Technol Coll Chem Engn State Key Lab Base Ecochem Engn Qingdao 266042 Peoples R China Huanggang Normal Univ Sch Chem & Chem Engn Hubei Key Lab Proc & Applicat Catalyt Mat Huanggang 438000 Peoples R China

Bismuth-based materials have been identified as potential catalysts for electrochemical CO2 reduction reactions (CO2RR), however, there remain challenges in terms of selectivity and stability. In this study, we report a onestep etching hydrothermal strategy to synthesize a porous Si-doped hydrophobic flower-like BiOCl catalyst (PoSiBiOCl) for highly selective CO2RR to formate (HCOO-). The doped Si increases the hydrophobicity and porosity of BiOCl, improving CO2 adsorption and mass transport. The PoSi-BiOCl exhibits impressive CO2-to-formate selectivity (96%). Due to the hydrophobicity of PoSi-BiOCl, the side reaction of hydrogen evolution reaction (HER) is inhibited. Besides, after 24 h of stability testing, PoSi-BiOCl maintained a high FEHCOO- of about 85%, demonstrating its excellent catalytic stability. In situ Raman spectroscopy and DFT calculations show that Si doping shifts the p-band center (epsilon p) and significantly reduces the energy barrier of forming *OCHO intermediates, which is a key step in the CO2-to-formate transformation pathway.

关键词： BiOCl Si doping Hydrophobicity Electrocatalysis CO2 reduction

来源：评论

学校读者我要写书评

暂无评论

Dramatic Enhancement of Thermoelectric Performance in PbTe by Unconventional Grain Shrinking in the Sintering Process

引用

advanced MATERIALS 2022年第38期34卷 2202949-2202949页

作者： Xu, Pengfei Zhao, Wei Liu, Xixi Jia, Baohai He, Jiaqing Fu, Liangwei Xu, Biao Nanjing Univ Sci & Technol Sch Chem & Chem Engn Nanjing 210094 Peoples R China Nanjing Univ State Key Lab Coordinat Chem Sch Chem & Chem Engn Nanjing 210093 Peoples R China Southern Univ Sci & Technol Dept Phys Shenzhen Key Lab Thermoelect Mat Shenzhen 518055 Peoples R China

Nanostructure engineering is a key strategy for tailoring properties in the fields of batteries, solar cells, thermoelectrics, and so on. Limited by grain coarsening, however, the nanostructure effect gradually degrades during the materials' manufacturing and in-service period. Herein, a strategy of cleavage-fracture for grain shrinking is developed in a Pb0.98Sb0.02Te sample during sintering, and the grain size remains stable after repeated tests. Moreover, the initial grain boundary is filled by fractured slender grains and enriched by dislocations, evolving into a hierarchical grain-boundary structure. The lattice thermal conductivity (k(lat)) is greatly reduced to approach the amorphous limit. As a result, a record-high ZT value of approximate to 1.9 is obtained at 815 K in the n-type Pb0.98Sb0.02Te sample and a decent efficiency of 6.7% in thermoelectric device. This strategy for grain shrinking will shed light on the application of nanostructure engineering under high temperature and extreme conditions in other material systems.

关键词： fracture grain shrinking grown-in dislocations hierarchical grain boundaries thermoelectric materials

来源：评论

学校读者我要写书评

暂无评论

Ni mesh-reinforced ultrasonic-assisted Cu/Sn58Bi/Cu joint performance: Experiments and first-principles calculations

引用

ULTRASONICS SONOCHEMISTRY 2024年 111卷 107119页

作者： Huang, Xi Zhang, Liang Chen, Yu-hao Sun, Lei Yu, Xin-quan Lu, Quan-bin Xiamen Univ Technol Sch Mat Sci & Engn Xiamen 361000 Peoples R China Changzhou Univ Sch Mech Engn & Rail Transit Changzhou 213164 Peoples R China Zhengzhou Res Inst Mech Engn State Key Lab Adv Brazing Filler Met & Technol Zhengzhou 450001 Peoples R China

The Ni mesh was incorporated into the Cu/Sn58Bi/Cu bonding as a reinforcing skeleton to achieve an enhancement effect analogous to steel reinforcement in concrete. Ultrasonic-assisted soldering (UAS) improved the metallurgical bond among the solder, Ni mesh, and substrate. It facilitated the formation of (Cu, Ni)6Sn5 intermetallic compounds (IMCs) layers, increasing the joint strength. Observations indicated that ultrasonic treatment effectively refined the (Cu, Ni)6Sn5 grains and induced a uniform preferred orientation of beta-Sn and Bi grains in the joint matrix adjacent to the Ni mesh. The shear strength of the joint reached 72.23 MPa when the ultrasonic application was sustained for 15 s, achieving the fabrication of a high-strength point with low energy consumption. First-principles calculations have confirmed that changes in the Ni content within (Cu, Ni)6Sn5 IMCs improved the stability of the crystal structure. Furthermore, the variations in content could potentially improve the mechanical and electrical properties of the (Cu, Ni)6Sn5. Enhancements in ultrasonic efficiency and the reinforcement of IMC structures offer new avenues for research in green and high-performance electronic packaging material joining technologies.

关键词： Ni mesh Sn58Bi solder Ultrasonic-assisted soldering First-principles calculations

来源：评论

学校读者我要写书评

暂无评论

Work-in-Progress: Towards Real-Time IDS via RNN and Programmable Switches Co-Designed Approach 44

Work-in-Progress: Towards Real-Time IDS via RNN and Programm...

引用

44th IEEE Real-Time Systems Symposium, RTSS 2023

作者： Zhao, Ziming Li, Zhaoxuan Song, Zhuoxue Zhang, Fan Zhejiang University Hangzhou310027 China Sklois Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China

ISBN: (纸本)9798350328578

Existing Deep Learning (DL)-based network Intrusion Detection System (IDS) is able to characterize sequence semantics of traffic and discover malicious behaviors. Yet DL models are often nonlinear and highly non-convex functions that are difficult for in-network real-time deployment, i.e., existing DL solutions are essentially offline analysis. In this paper, we present RIDS, a hardware-friendly Recurrent Neural Network (RNN) model that is co-designed with programmable switches. As its core, RIDS is powered by two tightly-coupled components: (i) rLearner, the RNN learning module with in-network deployability as the first-class requirement;and (ii) rEnforcer, the concrete pipeline design to realize rLearner-generated models inside the network dataplane. We implement a prototype of RIDS and evaluate it on our physical testbed. The experiments show that RIDS could satisfy both detection performance and high-speed bandwidth adaptation simultaneously, when none of the other existing approaches could do so. Inspiringly, RIDS realizes remarkable intrusion/malware detection effect (e.g., ∼99% F1 score) and model deployment (e.g., 100 Gbps per port), while only imposing nanoseconds of latency. © 2023 IEEE.

关键词： Intrusion detection

来源：评论

学校读者我要写书评

暂无评论

Parametric modeling on warp and weft tensile strength prediction and progressive damage evolution of 3D angle-interlock woven composites

引用

COMPOSITE STRUCTURES 2025年 362卷

作者： Sun, Yi-xuan Yao, Tian-lei Yang, Xue Li, Dian-sen Jiang, Lei Zuo, Hong-mei V. Lomov, Stepan Desplentere, Frederik Beihang Univ Sch Chem Key Lab Bioinspired Smart Interfacial Sci & Techno Minist Educ Beijing 100191 Peoples R China Katholieke Univ Leuven Dept Mat Engn Leuven Belgium Beijing Univ Chem Technol State Key Lab Organ Inorgan Composites Beijing 100029 Peoples R China Anhui Polytech Univ Adv Fiber Mat Engn Res Ctr Anhui Prov Sch Text & Garment Wuhu 241000 Peoples R China

Considering the yarn extrusion and actual spatial structure of 3D angle-interlock woven composites(3DAWCs), a geometric equation is proposed and a parametric finite element model(FEM) is established to investigate the mesoscale tensile behavior. The results demonstrate the accurate prediction of tensile properties and progressive damage of 3DAWCs by the finite element model, with experimental data validating the effectiveness. Moreover, it is revealed that the tensile behavior exhibits a strong correlation with yarn density and loading direction. Under warp tensile load, strength and modulus exhibit a positive correlation with warp density while showing a negative correlation with weft density. Under weft tensile load, both strength and modulus increase as yarn density increases. Damage analysis reveals that warp tensile damage initially occurs at warp bends and weft edges, propagating from the interface between warp and matrix. With an increase in both warp and weft yarn densities, damage under weft tensile load distribution initiates from weft yarns before extending towards interfaces between warp/weft yarns and matrix.

关键词： 3D angle-interlock woven composites Finite element analysis Tensile properties Failure mechanism

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：