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Nano-Fe_(3)O_(4)强化牛粪厌氧发酵及抗性基因削减
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作者 习彦花 王馨芝 +4 位作者 李旭 魏帅强 孙立博 吕亚天 程辉彩 《中国环境科学》 EI CAS CSCD 北大核心 2024年第11期6250-6259,共10页
为提高牛粪高浓度厌氧发酵产气性能,考察了不同浓度纳米四氧化三铁(Nano-Fe_(3)O_(4))对底物水解及产气效率的强化效果,探究其对发酵系统中微生物群落结构变化以及抗生素抗性基因(ARGs)归趋的影响.结果表明,添加500mg/L的Nano-Fe_(3)O_... 为提高牛粪高浓度厌氧发酵产气性能,考察了不同浓度纳米四氧化三铁(Nano-Fe_(3)O_(4))对底物水解及产气效率的强化效果,探究其对发酵系统中微生物群落结构变化以及抗生素抗性基因(ARGs)归趋的影响.结果表明,添加500mg/L的Nano-Fe_(3)O_(4)可以提高牛粪高浓度厌氧发酵底物水解程度,增强系统稳定性,提高沼气产量12.36%.与对照相比,发酵系统中水解产酸菌厚壁菌门(Firmicutes)、纤维杆菌门(Fibrobacteres)的丰度分别显著增加了37.39%和75.86%.属水平上尤其是梭菌属(Clostridium)和瘤胃球菌(Ruminofilibacter)丰度是原来的3.50倍和8.69倍.产甲烷菌中甲烷八叠球菌(Methanosarcina)占主导地位,其丰度达2.55%,比对照显著增加27.50%.此外,潜在致病菌密螺旋体属(Treponema)和不动杆菌属(Acinetobacter)的丰度分别显著降低72.14%和93.69%;ARGs中四环素类(tetA、tetG、tetH、tetJ)、氨基糖苷类(aph(3)、aph(6))削减率达100%.磺胺酰胺类(sul1、sul2)平均削减率达74.41%~96.55%.研究表明添加适量的Nano-Fe_(3)O_(4)对稳定发酵系统、提高微生物活性、增加沼气产量、抗性基因削减等方面有多重促进作用,研究结果可为畜禽粪污沼气工程中Nano-Fe_(3)O_(4)等导电性外源调控添加剂的使用提供参考. 展开更多
关键词 纳米四氧化三铁 牛粪 高浓度 厌氧发酵 抗生素抗性基因
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TPU/Nano-ZnO复合改性沥青的性能研究及微观机制
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作者 田小革 李光耀 +4 位作者 陈功 姚世林 黄雪梅 王俊杰 陆劲州 《材料导报》 EI CAS CSCD 北大核心 2024年第16期98-107,共10页
为促进聚合物/纳米改性沥青在耐久性路面中的应用,在实验室将不同掺量的聚氨酯及纳米氧化锌添加到A-70#基质沥青中制备了复合改性沥青。采用传统物理性能试验、动态剪切流变试验(DSR)、弯曲梁流变试验(BBR)研究了其物理性能与流变特性,... 为促进聚合物/纳米改性沥青在耐久性路面中的应用,在实验室将不同掺量的聚氨酯及纳米氧化锌添加到A-70#基质沥青中制备了复合改性沥青。采用传统物理性能试验、动态剪切流变试验(DSR)、弯曲梁流变试验(BBR)研究了其物理性能与流变特性,基于响应面法的优化设计来明确两种改性剂的最佳掺量。借助傅里叶红外光谱试验(FTIR)对其微观改性机理进行探讨。采用高压紫外汞灯环境箱对改性沥青进行不同时间的紫外老化,分析其抗紫外老化能力,并基于主成分分析法评价了老化性能测试指标的显著性。结果表明:聚氨酯与纳米氧化锌的共同作用提高了基质沥青的高温稳定性及低温抗裂性,两种改性剂的最佳掺量分别为5%、3%。根据FTIR结果,复合改性沥青的改性过程既存在物理共混,又有化学加成反应。聚氨酯及纳米氧化锌的加入在基质沥青紫外老化过程中能够抑制羰基、亚砜基等极性基团的生成,复数剪切模量、羰基指数、劲度模量及亚砜基指数对沥青紫外老化性能的影响最为显著。 展开更多
关键词 聚氨酯 纳米氧化锌 复合改性沥青 宏观性能 微观机理
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抗菌PP/Rnano-ZnO复合材料的制备及性能研究
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作者 程贵刚 孟新 郑雪 《精细石油化工》 CAS 2024年第5期24-27,共4页
以棒状纳米氧化锌(Rnano-ZnO)为抗菌剂、聚丙烯(PP)为基材,采用熔融共混法在双螺杆挤出机中制备了抗菌PP/Rnano-ZnO复合材料。测试了复合材料的抗菌性能,通过DSC法研究了抗菌PP/Rnano-ZnO复合材料中Rnano-ZnO质量分数对结晶性能的影响,... 以棒状纳米氧化锌(Rnano-ZnO)为抗菌剂、聚丙烯(PP)为基材,采用熔融共混法在双螺杆挤出机中制备了抗菌PP/Rnano-ZnO复合材料。测试了复合材料的抗菌性能,通过DSC法研究了抗菌PP/Rnano-ZnO复合材料中Rnano-ZnO质量分数对结晶性能的影响,采用SEM分析了复合材料冲击断面的微观形貌,采用万能电子拉伸机测试了复合材料的力学性能。结果表明,抗菌PP/Rnano-ZnO复合材料中随着Rnano-ZnO的加入,结晶温度提高了1.81℃,相对结晶度提高了5.03%,冲击强度提高了47.83%,拉伸强度提高了20.96%和断裂伸长率提高了4790%;当抗菌PP/Rnano-ZnO复合材料中Rnano-ZnO质量分数为6.0%时,其力学性能、对大肠杆菌和金黄色葡萄球菌的抗菌效果最佳。 展开更多
关键词 抗菌 复合材料 棒状纳米氧化锌 制备 性能
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纳米碳酸钙对nano-CaCO_(3)/PES复合膜结构与性能的影响
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作者 王玉周 陈增 +3 位作者 曹东鑫 周杰辉 安旭 马天琦 《化工进展》 EI CAS CSCD 北大核心 2024年第11期6310-6316,共7页
为深入了解nano-CaCO_(3)/PES复合膜的形态结构、力学性能、亲水性、分离性能和抗污染性能,通过非溶剂诱导相分离(NIPS)技术制备了nano-CaCO_(3)/PES复合膜。对复合膜的形态结构和物理化学性能以及分离性能进行了表征,重点考察了nano-Ca... 为深入了解nano-CaCO_(3)/PES复合膜的形态结构、力学性能、亲水性、分离性能和抗污染性能,通过非溶剂诱导相分离(NIPS)技术制备了nano-CaCO_(3)/PES复合膜。对复合膜的形态结构和物理化学性能以及分离性能进行了表征,重点考察了nano-CaCO_(3)质量分数对膜结构与性能的影响。结果说明了nano-CaCO_(3)在膜中均匀分散时,可有效优化膜结构,并同步提升膜的物理化学性能,提高分离效率。当nano-CaCO_(3)质量分数为0.3%时,所得到的复合膜机械强度为3.8MPa;对比纯PES材料,其机械强度增加了65%;亲水性也有效改善,纯水渗透性为450L/(m^(2)·h·bar)(1bar=105Pa),提高了1.7倍,同时保持99%以上的BSA截留率;对BSA抗污性能从48.8%显著提高至77.1%,具有良好的抗污染效果。本项研究为优化膜结构、提升膜性能方面提供了一个高效、简便的方法,在实际应用中具有重要的价值。 展开更多
关键词 纳米碳酸钙 分散性 复合滤膜 力学性能 分离性能 抗污染性能
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Optimization Design of the Multi-Layer Cross-Sectional Layout of An Umbilical Based on the GA-GLM 被引量:1
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作者 YANG Zhi-xun YIN Xu +5 位作者 FAN Zhi-rui YAN Jun LU Yu-cheng SU Qi MAO Yandong WANG Hua-lin 《China Ocean Engineering》 SCIE EI CSCD 2024年第2期247-254,共8页
Marine umbilical is one of the key equipment for subsea oil and gas exploitation,which is usually integrated by a great number of different functional components with multi-layers.The layout of these components direct... Marine umbilical is one of the key equipment for subsea oil and gas exploitation,which is usually integrated by a great number of different functional components with multi-layers.The layout of these components directly affects manufacturing,operation and storage performances of the umbilical.For the multi-layer cross-sectional layout design of the umbilical,a quantifiable multi-objective optimization model is established according to the operation and storage requirements.Considering the manufacturing factors,the multi-layering strategy based on contact point identification is introduced for a great number of functional components.Then,the GA-GLM global optimization algorithm is proposed combining the genetic algorithm and the generalized multiplier method,and the selection operator of the genetic algorithm is improved based on the steepest descent method.Genetic algorithm is used to find the optimal solution in the global space,which can converge from any initial layout to the feasible layout solution.The feasible layout solution is taken as the initial value of the generalized multiplier method for fast and accurate solution.Finally,taking umbilicals with a great number of components as examples,the results show that the cross-sectional performance of the umbilical obtained by optimization algorithm is better and the solution efficiency is higher.Meanwhile,the multi-layering strategy is effective and feasible.The design method proposed in this paper can quickly obtain the optimal multi-layer cross-sectional layout,which replaces the manual design,and provides useful reference and guidance for the umbilical industry. 展开更多
关键词 UMBILICAL cross-sectional layout multi-layers GA-GLM optimization
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Multi-layer perceptron-based data-driven multiscale modelling of granular materials with a novel Frobenius norm-based internal variable 被引量:1
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作者 Mengqi Wang Y.T.Feng +1 位作者 Shaoheng Guan Tongming Qu 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2024年第6期2198-2218,共21页
One objective of developing machine learning(ML)-based material models is to integrate them with well-established numerical methods to solve boundary value problems(BVPs).In the family of ML models,recurrent neural ne... One objective of developing machine learning(ML)-based material models is to integrate them with well-established numerical methods to solve boundary value problems(BVPs).In the family of ML models,recurrent neural networks(RNNs)have been extensively applied to capture history-dependent constitutive responses of granular materials,but these multiple-step-based neural networks are neither sufficiently efficient nor aligned with the standard finite element method(FEM).Single-step-based neural networks like the multi-layer perceptron(MLP)are an alternative to bypass the above issues but have to introduce some internal variables to encode complex loading histories.In this work,one novel Frobenius norm-based internal variable,together with the Fourier layer and residual architectureenhanced MLP model,is crafted to replicate the history-dependent constitutive features of representative volume element(RVE)for granular materials.The obtained ML models are then seamlessly embedded into the FEM to solve the BVP of a biaxial compression case and a rigid strip footing case.The obtained solutions are comparable to results from the FEM-DEM multiscale modelling but achieve significantly improved efficiency.The results demonstrate the applicability of the proposed internal variable in enabling MLP to capture highly nonlinear constitutive responses of granular materials. 展开更多
关键词 Granular materials History-dependence multi-layer perceptron(MLP) Discrete element method FEM-DEM Machine learning
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基于Jetson Nano的隐式场景表征重建方法
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作者 孙佳乐 阿卜杜萨拉木·麦合穆提 李杰 《北方工业大学学报》 2024年第1期110-117,共8页
随着计算机视觉和边缘计算技术的不断发展,对于复杂场景的高效重建与表征成为了研究的热点之一。本研究提出了一种基于Jetson Nano的隐式场景表征重建方法,旨在通过深度学习和边缘计算技术的有机结合,实现对复杂场景的高效重建与表征。... 随着计算机视觉和边缘计算技术的不断发展,对于复杂场景的高效重建与表征成为了研究的热点之一。本研究提出了一种基于Jetson Nano的隐式场景表征重建方法,旨在通过深度学习和边缘计算技术的有机结合,实现对复杂场景的高效重建与表征。本研究是基于Jetson Nano边缘计算平台,将RGBD相机与其连接,通过网络传输将采集的数据存储于云端。本研究采用了一种创新性的隐式表示模型,通过函数对场景信息进行紧凑而高效的表征。该方法在Jetson Nano边缘计算平台上通过统一计算设备架构(Compute Unified Device Architecture,CUDA)和深度学习推理引擎(Turing Tensor R-Engine,TensorRT)优化,进一步提升了计算效率。结合隐式神经网络和同步定位与地图构建(Simultaneous Localization And Mapping,SLAM)技术,成功实现了三维场景的精准重建,相机追踪中绝对轨迹误差的均方根误差平均值达到了1.87,在各个场景的表现均具有鲁棒性。 展开更多
关键词 Jetson nano 边缘计算 三维重建 神经辐射场 同步定位与建图(SLAM)
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The Fabrication and SERS Performance of Multi-layer Hollow Au-Ag Alloy Nano Urchins Structure-based SERS Fiber Probe
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作者 HAO Zhenbang TIAN Qihang +4 位作者 CAO Shiyi HAN Xiaoyu ZHANG Jihong XIE Jun ZHAO Xiujian 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS CSCD 2023年第2期274-279,共6页
Novel hollow Au Ag alloy nano urchins were synthesized via Ag seeds growth method,and self-assembly coated on the wall and end-tip of silica fiber for fiber probe fabrication.The nano urchins homogeneously distributed... Novel hollow Au Ag alloy nano urchins were synthesized via Ag seeds growth method,and self-assembly coated on the wall and end-tip of silica fiber for fiber probe fabrication.The nano urchins homogeneously distributed on fiber surface because of fiber silanization.The sizes and tip sharpness of the nano-urchins could be controlled by Ag seeds.The elements distribution analysis indicated there was high Ag content in tip-top for better surface enhance Raman scattering performance.The detectable concentration could be as low as 10-8 M using crystal violet molecules as analyte.Moreover,the fiber probes were stable in air,due to Au in the alloy.This fiber probe could be used for low content single molecular analysis. 展开更多
关键词 surface enhanced raman spectroscopy hollow Au-Ag alloy nano urchins fiber probe
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基于Jetson Nano的智能双足人形机器人
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作者 王苑丞 文靖豪 +2 位作者 张祺睿 冯旭冉 彭熙 《智能计算机与应用》 2024年第4期177-179,共3页
针对人型机器人多样的使用需求及复杂的使用环境,本文设计出一款以高性能NVIDIA Jetson Nano为主控板,采用舵机驱动、搭载多个感知模块的智能双足人型机器人,通过ROS系统进行步态控制,依靠摄像头、多种传感器及配套算法实现姿态识别和... 针对人型机器人多样的使用需求及复杂的使用环境,本文设计出一款以高性能NVIDIA Jetson Nano为主控板,采用舵机驱动、搭载多个感知模块的智能双足人型机器人,通过ROS系统进行步态控制,依靠摄像头、多种传感器及配套算法实现姿态识别和空间位置计算,完成机器人整体的行动。 展开更多
关键词 双足人型机器人 Jetson nano 传感器
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Nano-SiO_(2)选择性分布对CPE增韧PVC体系的影响
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作者 毛泽鹏 顾凌锐 +2 位作者 薛振 汤骏航 张军 《现代塑料加工应用》 CAS 北大核心 2024年第3期1-4,共4页
通过改变混合顺序,研究了纳米二氧化硅(nano-SiO_(2))选择性分布对氯化聚乙烯(CPE)增韧聚氯乙烯(PVC)体系力学性能、流变性能、耐热性能的影响。结果表明:当nano-SiO_(2)分布于CPE相时,样品的拉伸强度、弯曲强度、弯曲模量、热变形温度... 通过改变混合顺序,研究了纳米二氧化硅(nano-SiO_(2))选择性分布对氯化聚乙烯(CPE)增韧聚氯乙烯(PVC)体系力学性能、流变性能、耐热性能的影响。结果表明:当nano-SiO_(2)分布于CPE相时,样品的拉伸强度、弯曲强度、弯曲模量、热变形温度提升更显著,当nano-SiO_(2)分布于PVC相时,样品的缺口冲击强度提升更显著,尤其在CPE用量较低时。nano-SiO_(2)选择性分布对样品的流变性能会产生影响,但对其玻璃化转变温度影响较小。 展开更多
关键词 聚氯乙烯 氯化聚乙烯 纳米二氧化硅 选择性分布
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Target Controllability of Multi-Layer Networks With High-Dimensional Nodes
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作者 Lifu Wang Zhaofei Li +1 位作者 Ge Guo Zhi Kong 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第9期1999-2010,共12页
This paper studies the target controllability of multilayer complex networked systems,in which the nodes are highdimensional linear time invariant(LTI)dynamical systems,and the network topology is directed and weighte... This paper studies the target controllability of multilayer complex networked systems,in which the nodes are highdimensional linear time invariant(LTI)dynamical systems,and the network topology is directed and weighted.The influence of inter-layer couplings on the target controllability of multi-layer networks is discussed.It is found that even if there exists a layer which is not target controllable,the entire multi-layer network can still be target controllable due to the inter-layer couplings.For the multi-layer networks with general structure,a necessary and sufficient condition for target controllability is given by establishing the relationship between uncontrollable subspace and output matrix.By the derived condition,it can be found that the system may be target controllable even if it is not state controllable.On this basis,two corollaries are derived,which clarify the relationship between target controllability,state controllability and output controllability.For the multi-layer networks where the inter-layer couplings are directed chains and directed stars,sufficient conditions for target controllability of networked systems are given,respectively.These conditions are easier to verify than the classic criterion. 展开更多
关键词 High-dimensional nodes inter-layer couplings multi-layer networks target controllability
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A flexible ultra-broadband multi-layered absorber working at 2 GHz-40 GHz printed by resistive ink
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作者 汪涛 闫玉伦 +3 位作者 陈巩华 李迎 胡俊 毛剑波 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第2期329-333,共5页
A flexible extra broadband metamaterial absorber(MMA)stacked with five layers working at 2 GHz–40 GHz is investigated.Each layer is composed of polyvinyl chloride(PVC),polyimide(PI),and a frequency selective surface(... A flexible extra broadband metamaterial absorber(MMA)stacked with five layers working at 2 GHz–40 GHz is investigated.Each layer is composed of polyvinyl chloride(PVC),polyimide(PI),and a frequency selective surface(FSS),which is printed on PI using conductive ink.To investigate this absorber,both one-dimensional analogous circuit analysis and three-dimensional full-wave simulation based on a physical model are provided.Various crucial electromagnetic properties,such as absorption,effective impedance,complex permittivity and permeability,electric current distribution and magnetic field distribution at resonant peak points,are studied in detail.Analysis shows that the working frequency of this absorber covers entire S,C,X,Ku,K and Ka bands with a minimum thickness of 0.098λ_(max)(λ_(max) is the maximum wavelength in the absorption band),and the fractional bandwidth(FBW)reaches 181.1%.Moreover,the reflection coefficient is less than-10 dB at 1.998 GHz–40.056 GHz at normal incidence,and the absorptivity of the plane wave is greater than 80%when the incident angle is smaller than 50°.Furthermore,the proposed absorber is experimentally validated,and the experimental results show good agreement with the simulation results,which demonstrates the potential applicability of this absorber at 2 GHz–40 GHz. 展开更多
关键词 extra broadband physical model flexible metamaterial absorber multi-layER frequency selective surface
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Dynamic Multi-Layer Perceptron for Fetal Health Classification Using Cardiotocography Data
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作者 Uddagiri Sirisha Parvathaneni Naga Srinivasu +4 位作者 Panguluri Padmavathi Seongki Kim Aruna Pavate Jana Shafi Muhammad Fazal Ijaz 《Computers, Materials & Continua》 SCIE EI 2024年第8期2301-2330,共30页
Fetal health care is vital in ensuring the health of pregnant women and the fetus.Regular check-ups need to be taken by the mother to determine the status of the fetus’growth and identify any potential problems.To kn... Fetal health care is vital in ensuring the health of pregnant women and the fetus.Regular check-ups need to be taken by the mother to determine the status of the fetus’growth and identify any potential problems.To know the status of the fetus,doctors monitor blood reports,Ultrasounds,cardiotocography(CTG)data,etc.Still,in this research,we have considered CTG data,which provides information on heart rate and uterine contractions during pregnancy.Several researchers have proposed various methods for classifying the status of fetus growth.Manual processing of CTG data is time-consuming and unreliable.So,automated tools should be used to classify fetal health.This study proposes a novel neural network-based architecture,the Dynamic Multi-Layer Perceptron model,evaluated from a single layer to several layers to classify fetal health.Various strategies were applied,including pre-processing data using techniques like Balancing,Scaling,Normalization hyperparameter tuning,batch normalization,early stopping,etc.,to enhance the model’s performance.A comparative analysis of the proposed method is done against the traditional machine learning models to showcase its accuracy(97%).An ablation study without any pre-processing techniques is also illustrated.This study easily provides valuable interpretations for healthcare professionals in the decision-making process. 展开更多
关键词 Fetal health cardiotocography data deep learning dynamic multi-layer perceptron feature engineering
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Multi-layer network embedding on scc-based network with motif
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作者 Lu Sun Xiaona Li +4 位作者 Mingyue Zhang Liangtian Wan Yun Lin Xianpeng Wang Gang Xu 《Digital Communications and Networks》 SCIE CSCD 2024年第3期546-556,共11页
Interconnection of all things challenges the traditional communication methods,and Semantic Communication and Computing(SCC)will become new solutions.It is a challenging task to accurately detect,extract,and represent... Interconnection of all things challenges the traditional communication methods,and Semantic Communication and Computing(SCC)will become new solutions.It is a challenging task to accurately detect,extract,and represent semantic information in the research of SCC-based networks.In previous research,researchers usually use convolution to extract the feature information of a graph and perform the corresponding task of node classification.However,the content of semantic information is quite complex.Although graph convolutional neural networks provide an effective solution for node classification tasks,due to their limitations in representing multiple relational patterns and not recognizing and analyzing higher-order local structures,the extracted feature information is subject to varying degrees of loss.Therefore,this paper extends from a single-layer topology network to a multi-layer heterogeneous topology network.The Bidirectional Encoder Representations from Transformers(BERT)training word vector is introduced to extract the semantic features in the network,and the existing graph neural network is improved by combining the higher-order local feature module of the network model representation network.A multi-layer network embedding algorithm on SCC-based networks with motifs is proposed to complete the task of end-to-end node classification.We verify the effectiveness of the algorithm on a real multi-layer heterogeneous network. 展开更多
关键词 Semantic communication and computing multi-layer network Graph neural network MOTIF
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Target layer state estimation in multi-layer complex dynamical networks considering nonlinear node dynamics
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作者 吴亚勇 王欣伟 蒋国平 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第4期245-252,共8页
In many engineering networks, only a part of target state variables are required to be estimated.On the other hand,multi-layer complex network exists widely in practical situations.In this paper, the state estimation ... In many engineering networks, only a part of target state variables are required to be estimated.On the other hand,multi-layer complex network exists widely in practical situations.In this paper, the state estimation of target state variables in multi-layer complex dynamical networks with nonlinear node dynamics is studied.A suitable functional state observer is constructed with the limited measurement.The parameters of the designed functional observer are obtained from the algebraic method and the stability of the functional observer is proven by the Lyapunov theorem.Some necessary conditions that need to be satisfied for the design of the functional state observer are obtained.Different from previous studies, in the multi-layer complex dynamical network with nonlinear node dynamics, the proposed method can estimate the state of target variables on some layers directly instead of estimating all the individual states.Thus, it can greatly reduce the placement of observers and computational cost.Numerical simulations with the three-layer complex dynamical network composed of three-dimensional nonlinear dynamical nodes are developed to verify the effectiveness of the method. 展开更多
关键词 multi-layer complex dynamical network nonlinear node dynamics target state estimation functional state observer
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SiC-Ni60涂层中添加nano-Cu包覆MoS_(2)对其组织和摩擦磨损性能的影响
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作者 沈虎 李先芬 +3 位作者 叶俊洋 张雅婷 华鹏 刘大双 《焊接学报》 EI CAS CSCD 北大核心 2024年第9期69-75,共7页
采用激光熔覆的方法在42CrMo钢基体上制备了nano-Cu/MoS_(2)镍基合金熔覆层,运用扫描电镜、XRD、显微硬度计以及摩擦磨损试验机等探究了不同含量nano-Cu/MoS_(2)熔覆层的组织及耐磨减摩性能.结果表明,采用激光熔覆技术制备的nano-Cu/MoS... 采用激光熔覆的方法在42CrMo钢基体上制备了nano-Cu/MoS_(2)镍基合金熔覆层,运用扫描电镜、XRD、显微硬度计以及摩擦磨损试验机等探究了不同含量nano-Cu/MoS_(2)熔覆层的组织及耐磨减摩性能.结果表明,采用激光熔覆技术制备的nano-Cu/MoS_(2)镍基合金熔覆层中上部为细密的等轴晶,中下部至靠近熔合线主要为条柱状晶,添加nano-Cu/MoS_(2)颗粒后覆层中部等轴晶粒部分转变为条带状,覆层中产生了金属硫化物CrS和软金属铜,晶界处分布一些细小MoS_(2)颗粒,受润滑相与部分晶粒粗化影响与C1(无nano-Cu/MoS_(2))相比,C2~C4(5%~15%nano-Cu/MoS_(2))熔覆层的硬度显著下降,但与基体相比有1.45~2.06倍,具有良好的力学性能,而摩擦质量损失增加最高达到0.0198 g,摩擦系数逐渐减小,熔覆层最低摩擦系数0.4430较C1明显降低,兼顾力学性能、摩擦系数和摩擦质量损失角度考虑,nano-Cu/MoS_(2)含量为10%,激光功率290 W、扫描速度6 mm/s时,其熔覆层力学及摩擦学性能为佳. 展开更多
关键词 激光熔覆 nano-Cu/MoS_(2) 固体润滑 耐磨减摩
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Dynamic interwell connectivity analysis of multi-layer waterflooding reservoirs based on an improved graph neural network
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作者 Zhao-Qin Huang Zhao-Xu Wang +4 位作者 Hui-Fang Hu Shi-Ming Zhang Yong-Xing Liang Qi Guo Jun Yao 《Petroleum Science》 SCIE EI CAS CSCD 2024年第2期1062-1080,共19页
The analysis of interwell connectivity plays an important role in the formulation of oilfield development plans and the description of residual oil distribution. In fact, sandstone reservoirs in China's onshore oi... The analysis of interwell connectivity plays an important role in the formulation of oilfield development plans and the description of residual oil distribution. In fact, sandstone reservoirs in China's onshore oilfields generally have the characteristics of thin and many layers, so multi-layer joint production is usually adopted. It remains a challenge to ensure the accuracy of splitting and dynamic connectivity in each layer of the injection-production wells with limited field data. The three-dimensional well pattern of multi-layer reservoir and the relationship between injection-production wells can be equivalent to a directional heterogeneous graph. In this paper, an improved graph neural network is proposed to construct an interacting process mimics the real interwell flow regularity. In detail, this method is used to split injection and production rates by combining permeability, porosity and effective thickness, and to invert the dynamic connectivity in each layer of the injection-production wells by attention mechanism.Based on the material balance and physical information, the overall connectivity from the injection wells,through the water injection layers to the production layers and the output of final production wells is established. Meanwhile, the change of well pattern caused by perforation, plugging and switching of wells at different times is achieved by updated graph structure in spatial and temporal ways. The effectiveness of the method is verified by a combination of reservoir numerical simulation examples and field example. The method corresponds to the actual situation of the reservoir, has wide adaptability and low cost, has good practical value, and provides a reference for adjusting the injection-production relationship of the reservoir and the development of the remaining oil. 展开更多
关键词 Graph neural network Dynamic interwell connectivity Production-injection splitting Attention mechanism multi-layer reservoir
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Allophane as a Nanotechnological Additive in Masonry Materials to Increase Resistance and Waterproofing
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作者 Edward H. Jiménez Joao Rivera +10 位作者 Juan H. Villalba Paola E. Vera Marlon Cuenca Belén Granja Javier Fuentes Sandra Gavilanes Daniel Hidalgo Fernando Garcia Jose Bermudez Washington Ruiz Alexis Martial Debut 《Advances in Materials Physics and Chemistry》 CAS 2024年第8期196-212,共17页
The constant need for high-strength materials in the construction industry promotes the research of additives that improve the properties of masonry materials. The use of allophane as an additive in concrete and morta... The constant need for high-strength materials in the construction industry promotes the research of additives that improve the properties of masonry materials. The use of allophane as an additive in concrete and mortar mixtures was implemented to improve their strength and waterproofing, respectively, using compression and water absorption tests according to their corresponding standards (ASTM C1231, ASTM D2938, and ASTM C1585). The samples were evaluated at different concentrations and curing ages. In addition, different sand/cement ratios were considered for the mortar. The results revealed that there was a 9.4% increase in compressive strength in concrete and a 23.7% reduction in water absorption in mortar for the 5:1 ratio. These changes would be the result of the interaction of the nanoporous additive in the atomic crystal structure of the material demonstrating the nanotechnological nature of allophane. 展开更多
关键词 ALLOPHANE nano Additive Strength IMPERMEABILITY CONCRETE MORTAR
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Energy-Efficient Implementation of BCD to Excess-3 Code Converter for Nano-Communication Using QCA Technology
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作者 Nuriddin Safoev Angshuman Khan +1 位作者 Khudoykulov Zarif Turakulovich Rajeev Arya 《China Communications》 SCIE CSCD 2024年第6期103-111,共9页
Code converters are essential in digital nano communication;therefore,a low-complexity optimal QCA layout for a BCD to Excess-3 code converter has been proposed in this paper.A QCA clockphase-based design technique wa... Code converters are essential in digital nano communication;therefore,a low-complexity optimal QCA layout for a BCD to Excess-3 code converter has been proposed in this paper.A QCA clockphase-based design technique was adopted to investigate integration with other complicated circuits.Using a unique XOR gate,the recommended circuit’s cell complexity has been decreased.The findings produced using the QCADesigner-2.0.3,a reliable simulation tool,prove the effectiveness of the current structure over earlier designs by considering the number of cells deployed,the area occupied,and the latency as design metrics.In addition,the popular tool QCAPro was used to estimate the energy dissipation of the proposed design.The proposed technique reduces the occupied space by∼40%,improves cell complexity by∼20%,and reduces energy dissipation by∼1.8 times(atγ=1.5EK)compared to the current scalable designs.This paper also studied the suggested structure’s energy dissipation and compared it to existing works for a better performance evaluation. 展开更多
关键词 BCD code converter Excess-3 nano communication QCA circuits
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An Investigation into Forced Convection of a Nanofluid Flowing in a Rectangular Microchannel under the Influence of a Magnetic Field
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作者 Muataz S.Alhassan Ameer A.Alameri +4 位作者 Andrés Alexis Ramírez-Coronel I.B.Sapaev Azher M.Abed David-Juan Ramos-Huallpartupa Rahman S.Zabibah 《Fluid Dynamics & Materials Processing》 EI 2024年第2期311-323,共13页
In line with recent studies,where it has been shown that nanofluids containing graphene have a stronger capacity to boost the heat transfer coefficient with respect to ordinary nanofluids,experiments have been conducted ... In line with recent studies,where it has been shown that nanofluids containing graphene have a stronger capacity to boost the heat transfer coefficient with respect to ordinary nanofluids,experiments have been conducted using water with cobalt ferrite/graphene nanoparticles.In particular,a circular channel made of copper subjected to a constant heatflux has been considered.As nanoparticles are sensitive to the presence of a magneticfield,different conditions have been examined,allowing both the strength and the frequency of such afield to span relatively wide ranges and assuming different concentrations of nanoparticles.According to thefindings,the addition of nanoparticles to thefluid causes its rotation speed to increase by a factor of two,whereas ultraviolet radiation plays a negligible role.The amount of time required to attain the maximum rotation speed of the nanofluid and the Nusselt number have been measured under both constant and alternating magneticfields for a ferrofluid with a concentration of 0.5%and atflow Reynolds number of 550 and 1750. 展开更多
关键词 nano fluid rectengular tube magnetic field
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