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制备工艺对板式换热器用纯钛带材性能的影响

湖南有色金属 2024年第2期40卷 60-63页

作者：范晓杰卢金武张少辉王宁波马小飞辛晓航西安庄信新材料科技有限公司陕西西安710018

以真空自耗电弧炉三次熔炼的板坯为主要原料,采用不同的制备工艺制备出板式换热器用纯钛带材,测试其各项力学性能:借助万能力学试验机、杯突试验机、金相显微镜等对纯钛带材的抗拉强度、屈服强度、金相组织、杯突值等进行了表征。结果表... 详细信息

以真空自耗电弧炉三次熔炼的板坯为主要原料,采用不同的制备工艺制备出板式换热器用纯钛带材,测试其各项力学性能:借助万能力学试验机、杯突试验机、金相显微镜等对纯钛带材的抗拉强度、屈服强度、金相组织、杯突值等进行了表征。结果表明,不同的退火制度可以在一定程度上调制带材的力学性能,当选用630℃+8h的退火工艺时,杯突值为11.3mm,晶粒度达到6级及以上。不同的精整工艺对晶粒度及延伸率、板型及杯突值产生了一定的影响。

关键词：板式换热器纯钛带材晶粒度杯突值

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结构因素对遥感天线跟踪精度影响分析及对策

无线电通信技术 2024年第1期50卷 213-218页

作者：乔建江王宝宝张冰张少辉于卫东中国电子科技集团公司第五十四研究所河北石家庄050081 航天系统部装备部军事代表局驻石家庄地区军事代表室河北石家庄050081

在遥感地面站天线设备中,跟踪精度是伺服控制系统的关键技术指标。重点分析影响跟踪精度的机械结构谐振频率、摩擦两个结构因素,给出了影响因素与天线跟踪误差之间的理论关系:天线机械结构谐振频率主要影响伺服动态滞后误差和高仰角跟... 详细信息

在遥感地面站天线设备中,跟踪精度是伺服控制系统的关键技术指标。重点分析影响跟踪精度的机械结构谐振频率、摩擦两个结构因素,给出了影响因素与天线跟踪误差之间的理论关系:天线机械结构谐振频率主要影响伺服动态滞后误差和高仰角跟踪性能;摩擦力矩主要影响跟踪随机误差和伺服低速跟踪平稳性能。给出了改善低速平稳性能的解决措施;提出了一种数字复合控制融合新型结构滤波器(数字凹口滤波器+一阶惯性环节)的动态跟踪控制方法,解决了窄波束天线机械结构谐振频率较低影响伺服跟踪性能的问题。测试结果表明,天线最低平稳运行速度达0.005 (°)/s,速度误差优于10%;天线加速度在0.393 (°)/s^(2)时,方位动态跟踪均方根误差优于0.006 2°。遥感地面站天线设计方法实用有效,为今后同类天线伺服控制系统设计提供了理论依据。

关键词：结构谐振频率摩擦跟踪精度凹口滤波器

适用于多旋回叠合盆地的油气成藏年代学研究进展

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录井工程 2024年第2期35卷 132-139页

作者：陈家旭郭小文刘国全朱华汇邹磊落张绍辉中国石油大港油田公司勘探开发研究院中国地质大学(武汉)构造与油气资源教育部重点实验室

我国多旋回叠合盆地在多期构造运动的背景下具备多期生烃、多期充注、多期成藏和改造的特征,厘定不同期次油气的成藏时间一直是多旋回叠合盆地油气成藏研究亟待解决的难题。综述国内外油气成藏年代学的研究现状和发展趋势,剖析了不同油... 详细信息

我国多旋回叠合盆地在多期构造运动的背景下具备多期生烃、多期充注、多期成藏和改造的特征,厘定不同期次油气的成藏时间一直是多旋回叠合盆地油气成藏研究亟待解决的难题。综述国内外油气成藏年代学的研究现状和发展趋势,剖析了不同油气成藏年代学方法的主要特点和局限性,认为油气成藏年代学研究经历了从早期传统的油气成藏年代学方法到现今油气成藏同位素测年法的发展,实现了定性或半定量向定量研究的重要转变,其中方解石激光原位U-Pb同位素定年法可以精确厘定多旋回叠合盆地中不同期次油气的成藏时间,将油气成藏年代学研究推向了新的里程碑。据此提出综合运用多种油气成藏年代学方法相互补充、印证,进而得到全面的油气成藏年代信息,将成为现代油气成藏年代学在多旋回叠合盆地应用发展的重要趋势。

关键词：油气成藏年代学多旋回叠合盆地同位素测年方解石激光原位U-Pb同位素定年

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电解厂房防爆巡检机器人使用总结

氯碱工业 2024年第1期60卷 39-41页

作者：韩磊高宁宁姜荣吉张绍辉肖恭鑫常艳琴金川集团化工新材料有限责任公司甘肃金昌737100

介绍了防爆巡检机器人的功能及其在氯碱电解厂房的使用情况。

关键词：氯碱电解厂房防爆机器人巡检机器人无轨导航自主巡检自主充电

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生若夏花美悦并集——张艺人物画的美学诠释

美术 2022年第3期 144-145页

作者：张少辉西南大学美术学院

社会环境的发展与变迁会在艺术作品中充分反映出来,而艺术家的创作对于整个时代艺术风格的演变有着重要的影响。张艺作为女性画家,其中国画创作以笔墨润色展现柔美温和的女性之美,其创作的工笔人物题材来源主要是以当代青年和女大学生为... 详细信息

社会环境的发展与变迁会在艺术作品中充分反映出来,而艺术家的创作对于整个时代艺术风格的演变有着重要的影响。张艺作为女性画家,其中国画创作以笔墨润色展现柔美温和的女性之美,其创作的工笔人物题材来源主要是以当代青年和女大学生为主,注重展现青年人的活力朝气与人物个性,在追求自身图式语言的同时,用画笔深入发掘所绘对象的内心情感与思绪,创造了诸多具有鲜明特性的代表作品。

关键词：图式语言工笔人物艺术作品女性画家中国画创作人物画题材来源女性之美

A Stable Fuzzy-Based Computational Model and Control for Inductions Motors

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工程与科学中的计算机建模(英文) 2024年第1期138卷 793-812页

作者： Yongqiu Liu shaohui Zhong Nasreen Kausar Chunwei zhang Ardashir Mohammadzadeh Dragan Pamucar School of Mechanical and Electrical Engineering Guangdong University of Science&TechnologyDongguan523083China School of Information Hunan Open UniversityChangsha410081China Department of Mathematics Faculty of Arts and SciencesYildiz Technical UniversityEsenlerIstanbul34220Turkey Multidisciplinary Center for Infrastructure Engineering Shenyang University of TechnologyShenyang110870China Faculty of Organizational Sciences University of BelgradeBelgrade11000Serbia College of Engineering Yuan Ze UniversityTaoyuan320315TaiwanChina

In this paper,a stable and adaptive sliding mode control(SMC)method for induction motors is *** the parameters of this system has been one of the existing *** solve this challenge,a new self-tuning type-2 fuzzy neural network calculates and updates the control system parameters with a fast *** to the dynamic changes of the system,in addition to the parameters of the SMC,the parameters of the type-2 fuzzy neural network are also updated *** conditions for guaranteeing the convergence and stability of the control system are *** the simulation part,in order to test the proposed method,several uncertain models and load torque have been ***,the results have been compared to the SMC based on the type-1 fuzzy system,the traditional SMC,and the PI *** average RMSE in different scenarios,for type-2 fuzzy SMC,is 0.0311,for type-1 fuzzy SMC is 0.0497,for traditional SMC is 0.0778,and finally for PI controller is 0.0997.

关键词： Sliding mode control self-tuning type-2 fuzzy systems inductions motor parameters uncertainty

Delicate chemical structure regulation of nonfullerene acceptor for efficient and large thickness organic solar cells

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Science China Chemistry 2024年第5期67卷 1596-1604页

作者： Zhe zhang Wanying Feng Yunxin zhang shaohui Yuan Yuyang Bai Peiran Wang Zhaoyang Yao Chenxi Li Tainan Duan Xiangjian Wan Bin Kan Yongsheng Chen State Key Laboratory and Institute of Elemento-Organic Chemistry Frontiers Science Center for New Organic MatterThe Centre of Nanoscale Science and Technology and Key Laboratory of Functional Polymer MaterialsRenewable Energy Conversion and Storage Center(RECAST)College of ChemistryNankai UniversityTianjin 300071China School of Materials Science and Engineering National Institute for Advanced MaterialsNankai UniversityTianjin 300350China Chongqing Institute of Green and Intelligent Technology Chongqing SchoolUniversity of Chinese Academy of Sciences(UCAS Chongqing)Chinese Academy of SciencesChongqing 400722China

Inspired by the success of CH-series acceptors, a small-molecular acceptor, CH-Tz was reported by adopting a new conjugationextended electron-deficient unit([1,2,5]thiadiazolo[3,4-b]pyrazine) on the central core. Owing to the enhanced inter-/intramolecular interactions, CH-Tz exhibited near-infrared absorption and an effective three-dimensional molecular packing network in its single crystal. When blended with polymer donor PM6, the binary device achieved a high power conversion efficiency(PCE) of 18.54%, with a notable short-circuit current density(J_(sc)) of 27.54 m A cm-2and an excellent fill factor(FF) over 80%,which can be partly ascribed to the balanced charge transport properties in the blend film. After employing D18-Cl as the third component, an enhanced PCE of 18.85% was achieved due to a more obvious fiber network. Impressively, the CH-Tz-based OSC devices show excellent thermal stability and thickness insensitivity. Record-breaking Jscof 28.92 m A cm-2was reached for PM6:D18-Cl:CH-Tz ternary device with a thickness of 560 nm. Besides, CH-Tz shows potential in fabricating multicomponent high-performance organic solar cells, where over 19% efficiency could be realized in the quaternary device. Our work advances the strong influence of electron-deficient central units on molecular photovoltaic properties and guides the design of acceptors for stable and large-thickness organic solar cells.

关键词： organic solar cells non-fullerene acceptor central unit large thickness molecular packing

Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties

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Chinese Journal of Mechanical Engineering 2021年第3期34卷 146-157页

作者： Zhe Yang Dejan Gjorgjevikj Jianyu Long Yanyang Zi shaohui zhang Chuan Li School of Mechanical Engineering Dongguan University of TechnologyDongguan 523808China School of Mechanical Engineering Xi’an Jiaotong UniversityXi’an 710049China Faculty of Computer Science and Engineering Ss.Cyril and Methodius UniversitySkopjeMacedonia

Supervised fault diagnosis typically assumes that all the types of machinery failures are ***,in practice unknown types of defect,i.e.,novelties,may occur,whose detection is a challenging *** this paper,a novel fault diagnostic method is developed for both diagnostics and detection of *** this end,a sparse autoencoder-based multi-head Deep Neural Network(DNN)is presented to jointly learn a shared encoding representation for both unsupervised reconstruction and supervised classification of the monitoring *** detection of novelties is based on the reconstruction ***,the computational burden is reduced by directly training the multi-head DNN with rectified linear unit activation function,instead of performing the pre-training and fine-tuning phases required for classical *** addressed method is applied to a benchmark bearing case study and to experimental data acquired from a delta 3D *** results show that its performance is satisfactory both in detection of novelties and fault diagnosis,outperforming other state-of-the-art *** research proposes a novel fault diagnostics method which can not only diagnose the known type of defect,but also detect unknown types of defects.

关键词： Deep learning Fault diagnostics Novelty detection Multi-head deep neural network Sparse autoencoder

Active catalysts based on cobalt oxide@cobalt/N-C nanocomposites for oxygen reduction reaction in alkaline solutions

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纳米研究：英文版 2014年第7期7卷 1054-1064页

作者： Dekang Huang Yanping Luo shaohui Li Bingyan zhang Yan Shen Mingkui Wang Wuhan National Laboratory for Optoelectronics School of Optical and Electronic Information Huazhong University of Science andTechnology 1037 Luoyu Road Wuhan 430074 China

Over the past few years, electrocatalysis for the oxygen reduction reaction in alkaline solutions has undergone tremendous advances, and non-precious metal catalysts are of prime interest. In this study, we present a highly promising CoO@Co/N-C (where N-C represents a N-doped carbon material) catalyst, achieving an onset potential of 0.99 V (versus the reversible hydrogen electrode (RHE)) and a limiting current density of 7.07 mA·cm−2 (at 0.3 V versus RHE) at a rotation rate of 2,500 rpm in an O2-saturated 0.1 M KOH solution, comparable to a commercial Pt/C catalyst. The H2-O2 alkaline fuel cell test of CoO@Co/N-C as the cathode reveals a maximum power density of 237 mW·cm−2. Detailed investigation clarifies that a synergistic effect, induced by C-N, Co-N-C, and CoO/Co moieties, is responsible for the bulk of the gain in catalytic activity.

关键词：活性催化剂钴氧化物碱性溶液还原反应纳米复合材料 NC 极限电流密度金属催化剂